{"id":36598,"date":"2022-08-17T22:03:09","date_gmt":"2022-08-17T14:03:09","guid":{"rendered":"https:\/\/swarma.org\/?p=36598"},"modified":"2022-08-17T22:03:09","modified_gmt":"2022-08-17T14:03:09","slug":"%e2%80%8b%e5%a4%8d%e6%9d%82%e7%bd%91%e7%bb%9c%e4%b8%ad%e7%9a%84%e5%8a%a8%e5%8a%9b%e5%ad%a6%e7%8e%b0%e8%b1%a1%ef%bc%9a%e5%9f%ba%e7%a1%80%e4%b8%8e%e5%ba%94%e7%94%a8","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=36598","title":{"rendered":"\u200b\u590d\u6742\u7f51\u7edc\u4e2d\u7684\u52a8\u529b\u5b66\u73b0\u8c61\uff1a\u57fa\u7840\u4e0e\u5e94\u7528"},"content":{"rendered":"
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\u4ece\u6d41\u884c\u75c5\u6269\u6563\u5230\u793e\u4ea4\u7f51\u7edc\u4e0a\u7684\u8206\u8bba\u4f20\u64ad\uff0c\u4ece\u5927\u8111\u4e2d\u610f\u8bc6\u7684\u4ea7\u751f\u5230\u5730\u7403\u6c14\u5019\u7cfb\u7edf\u4e2d\u591a\u79cd\u56e0\u7d20\u7684\u4e92\u52a8\uff0c\u590d\u6742\u7f51\u7edc\u662f\u5efa\u6a21\u8fd9\u4e9b\u590d\u6742\u7cfb\u7edf\u7684\u6709\u529b\u5de5\u5177\u30022021\u5e749\u6708\uff0cThe European Physical Journal<\/em> \u53d1\u8868\u201c\u590d\u6742\u7f51\u7edc\u4e2d\u7684\u52a8\u529b\u5b66\u73b0\u8c61\u201d\u7279\u520a\uff0c\u6c47\u603b\u4e8633\u7bc7\u5173\u4e8e\u590d\u6742\u7f51\u7edc\u53ca\u5176\u5e94\u7528\u7684\u8bba\u6587\u3002\u7279\u520a\u5206\u4e3a\u4e09\u4e2a\u90e8\u5206\uff0c\u7b2c\u4e00\u90e8\u5206\u7406\u8bba\u4e0e\u65b9\u6cd5\u4ecb\u7ecd\u4e86\u7f51\u7edc\u793e\u56e2\u68c0\u6d4b\u3001\u65f6\u95f4\u5e8f\u5217\u6a21\u5f0f\u8bc6\u522b\u3001\u540c\u6b65\u3001\u7f51\u7edc\u4e0a\u7684\u6269\u6563\u4f20\u64ad\u73b0\u8c61\u7b49\uff1b\u5176\u4ed6\u4e24\u90e8\u5206\u5173\u6ce8\u590d\u6742\u7f51\u7edc\u5728\u795e\u7ecf\u79d1\u5b66\u3001\u5730\u7403\u79d1\u5b66\u4e2d\u7684\u5e94\u7528\uff0c\u6c14\u5019\u7f51\u7edc\u76f8\u5173\u7814\u7a76\u5bf9\u4e8e\u5e94\u5bf9\u5145\u6ee1\u6311\u6218\u6027\u7684\u5730\u7403\u6c14\u5019\u95ee\u9898\u5177\u6709\u91cd\u8981\u610f\u4e49\u3002<\/span><\/p>\n


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Serhiy Yanchuk, Antonio C. Roque, Elbert E. N. Macau, Jurgen Kurths<\/span> <\/span>| \u4f5c\u8005<\/strong><\/span><\/span><\/p>\n

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Dynamical phenomena in comple networks: fundatmentals and applications<\/span><\/p>\n

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https:\/\/link.springer.com\/article\/10.1140\/epjs\/s11734-021-00282-y<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u7406\u8bba\u4e0e\u65b9\u6cd5<\/span><\/strong><\/p>\n

1. \u53ef\u6fc0\u53d1\u5355\u5143\u4e2d\u7684\u6269\u5c55\u76f8\u6001\u4e0e\u4e24\u7c07\u76f8\u6001<\/span><\/p>\n

2. \u5177\u6709\u6162\u6b63\u53cd\u9988\u7684\u8026\u5408\u53ef\u6fc0\u53d1\u7cfb\u7edf\u7684\u566a\u58f0\u8bf1\u5bfc\u52a8\u529b\u5b66<\/span><\/p>\n

3. \u4f7f\u7528\u9012\u5f52\u5fae\u89c2\u6001\u6982\u7387\u68c0\u6d4b\u5e73\u7a33\u65f6\u95f4\u5e8f\u5217\u4e2d\u7684\u6570\u636e\u7834\u574f<\/span><\/p>\n

4. \u7efc\u8ff0\uff1a\u529b\u5bfc\u5411\u7b97\u6cd5\u4f5c\u4e3a\u652f\u6301\u793e\u56e2\u68c0\u6d4b\u7684\u5de5\u5177<\/span><\/p>\n

5. \u6807\u51c6\u6620\u5c04\u4e2d\u7684\u4e9a\u6269\u6563\u884c\u4e3a<\/span><\/p>\n

6. \u901a\u8fc7\u5206\u5c42\u793e\u56e2\u68c0\u6d4b\u8fdb\u884c\u65f6\u95f4\u5e8f\u5217\u6a21\u5f0f\u8bc6\u522b<\/span><\/p>\n

7. \u968f\u673a\u8fd1\u4f3c\u6700\u4f18\u63a7\u5236\uff1a\u52a0\u6cd5\u3001\u4e58\u6cd5\u3001\u975e\u9a6c\u5c14\u53ef\u592b\u4e0e\u5e94\u7528<\/span><\/p>\n

8. \u590d\u6742\u7f51\u7edc\u4e2d\u4f20\u64ad\u8fc7\u7a0b\u7684\u8def\u5f84\u79ef\u5206\u516c\u5f0f<\/span><\/p>\n

9. \u4e8c\u5206\u7f51\u7edc\u4e0a\u7c97\u7c92\u5316\u7b97\u6cd5\u7684\u56de\u987e\u548c\u6bd4\u8f83\u5206\u6790<\/span><\/p>\n

10. \u7a7a\u95f4\u6269\u5c55\u7cfb\u7edf\u4e2d\u7ebf\u6027\u54cd\u5e94\u7684\u9884\u6d4b\u53d8\u91cf<\/span><\/p>\n

11. \u4f7f\u7528\u76f8\u4f4d\u52a8\u529b\u5b66\u7814\u7a76\u90e8\u5206\u540c\u6b65\uff1a\u4e09\u4e2a\u5b9e\u4f8b<\/span><\/p>\n

12. \u96c6\u7fa4\u7cfb\u7edf\u4e2d\u901a\u8fc7\u8fed\u4ee3\u5220\u9664\u8fde\u8fb9\u8fdb\u884c\u7f51\u7edc\u793e\u56e2\u68c0\u6d4b<\/span><\/p>\n

13. \u65f6\u95f4\u5ef6\u8fdf\u548c\u76f8\u4f4d\u6ede\u540e\u5bf9\u79fb\u52a8\u4e3b\u4f53\u5bf9\u79f0\u5706\u5f62\u5f62\u6210\u7684\u5f71\u54cd<\/span><\/p>\n

14. \u4f7f\u7528\u5355\u4e2a\u65f6\u6ede\u5fae\u5206\u65b9\u7a0b\u6a21\u62df\u590d\u6742\u7f51\u7edc<\/span><\/p>\n

15. \u53cc\u5c42\u9009\u6c11\u6a21\u578b\uff1a\u5728\u89c2\u70b9\u52a8\u529b\u5b66\u4e2d\u5efa\u6a21\u5bb9\u5fcd\u5ea6<\/span><\/section>\n

\u795e\u7ecf\u79d1\u5b66\u4e2d\u7684\u5e94\u7528<\/span><\/strong><\/p>\n

16. \u5bf9\u5927\u8111\u8fdb\u884c\u5efa\u6a21\uff1a\u4ece\u5177\u8c61\u8fde\u63a5\u6620\u5c04\u5230\u7f51\u7edc\u7ec4\u7ec7<\/span><\/p>\n

17. \u968f\u673a\u9499\u79bb\u5b50\u6fc0\u589e\u6a21\u578b\u2014\u2014\u5efa\u7acb\u8fc7\u7a0b\u4e0e\u4ece\u795e\u7ecf\u5143\u53d1\u653e\u6a21\u578b\u4e2d\u5f97\u5230\u7684\u7075\u611f<\/span><\/p>\n

18. \u795e\u7ecf\u7f51\u7edc\u4e0e\u51b3\u7b56\u95ee\u9898\u4e0a\u7684Fokker-Planck\u65b9\u6cd5<\/span><\/p>\n

19. \u8d85\u6781\u5316\u6fc0\u53d1\u9633\u79bb\u5b50\u7535\u6d41\u5bf9\u795e\u7ecf\u5143\u819c\u65f6\u95f4\u5e38\u6570\u548c\u7a81\u89e6\u7535\u4f4d\u6301\u7eed\u65f6\u95f4\u7684\u5f71\u54cd<\/span><\/p>\n

20. \u57fa\u4e8e\u4f53\u5916\u7535\u538b\u4f9d\u8d56\u6027\u53d1\u653e\u6982\u7387\u51fd\u6570\u7684\u968f\u673a\u795e\u7ecf\u5143\u5efa\u6a21\u4e0e\u8868\u5f81<\/span><\/section>\n

\u5730\u7403\u79d1\u5b66\u4e2d\u7684\u5e94\u7528<\/span><\/strong><\/p>\n

21. \u65f6\u95f4\u5e8f\u5217\u8ddd\u79bb\u51fd\u6570\u5bf9\u529f\u80fd\u6027\u6c14\u5019\u7f51\u7edc\u6784\u5efa\u7684\u5f71\u54cd<\/span><\/p>\n

22. \u5bf9\u5730\u78c1\u573a\u591a\u6781\u76f8\u4e92\u4f5c\u7528\u62d3\u6251\u7684\u63a8\u65ad<\/span><\/p>\n

23. MJO \u76f8\u5173\u6ce2\u4e4b\u95f4\u7684\u4fe1\u606f\u6d41\uff1a\u6ce2\u7a7a\u95f4\u4e0a\u7684\u7f51\u7edc\u65b9\u6cd5<\/span><\/p>\n

24. \u8026\u5408\u7f51\u7edc\u5206\u6790\u63ed\u793aENSO\u72b6\u6001\u4e0b\u6d77\u9762\u6e29\u5ea6\u548c\u964d\u6c34\u4e4b\u95f4\u7684\u5168\u7403\u6708\u5ea6\u534f\u53d8\u6a21\u5f0f<\/span><\/p>\n

25. \u4e9a\u9a6c\u900a\u96e8\u6797\u6781\u7aef\u706b\u707e\u7684\u65f6\u7a7a\u5206\u5e03<\/span><\/p>\n

26. \u63cf\u8ff0\u5f3a\u964d\u6c34\u4e8b\u4ef6\u540c\u6b65\u7684\u529f\u80fd\u6027\u6c14\u5019\u7f51\u7edc\u4e2d\u8fde\u901a\u6027\u7684\u7a7a\u95f4\u7ec4\u7ec7<\/span><\/p>\n

27. \u5927\u897f\u6d0b\u7ecf\u5708\u7ffb\u8f6c\u73af\u6d41\u51cf\u5f31\u5bf9\u4e9a\u9a6c\u900a\u5357\u90e8\u96e8\u6797\u7a33\u5b9a\u6027\u7684\u5f71\u54cd<\/span><\/p>\n

28. \u6c14\u5019\u6f14\u53d8\u7f51\u7edc\u89c6\u89d2\u4e0bENSO\u548c\u5f3a\u70c8\u706b\u5c71\u55b7\u53d1\u5bf9\u5168\u7403\u5730\u8868\u6c14\u6e29\u7684\u5f71\u54cd<\/span><\/p>\n

29. \u4f7f\u7528\u590d\u6742\u7f51\u7edc\u5206\u6790\u5357\u7f8e\u5b63\u98ce\u4f4e\u5c42\u73af\u6d41\u53d8\u5316<\/span><\/p>\n

30. \u4f7f\u7528\u57fa\u4e8e\u7269\u7406\u7684\u673a\u5668\u5b66\u4e60\u65b9\u6cd5\u5206\u6790\u53cc\u7a33\u6001\u6c14\u5019\u73a9\u5177\u6a21\u578b<\/span><\/p>\n

31. \u4ece\u6e56\u6cca\u548c\u7a7a\u5730\u5230\u751f\u5b58\u529b\u7b97\u6cd5\uff1a\u6839\u636e\u53ef\u6301\u7eed\u7ba1\u7406\u7684\u62d3\u6251\u7ed3\u6784\u81ea\u52a8\u5206\u7c7b\u7cfb\u7edf\u72b6\u6001<\/span><\/p>\n

32. \u706b\u707e\u5730\u7403\u7cfb\u7edf\u6a21\u578b\u4e2d\u70ed\u5e26\u68ee\u6797\u6c14\u5019\u5f15\u8d77\u7684\u6ede\u540e\u73b0\u8c61<\/span><\/p>\n

33. \u5bf9\u590d\u6742\u7f51\u7edc\u4e0a\u4ea4\u4e92\u5f15\u7206\u5143\u7d20\u7684\u975e\u7ebf\u6027\u52a8\u529b\u5b66\u8fdb\u884c\u5efa\u6a21\uff1aPyCascades\u8f6f\u4ef6\u5305<\/span><\/p>\n


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\u5728\u8fc7\u53bb\u51e0\u5341\u5e74\u91cc\uff0c\u5177\u6709\u590d\u6742\u62d3\u6251\u7ed3\u6784\u7684\u7f51\u7edc\u5728\u795e\u7ecf\u79d1\u5b66\u3001\u5de5\u7a0b\u5b66\u3001\u793e\u4f1a\u79d1\u5b66\u3001\u7ecf\u6d4e\u5b66\u4e0e\u5730\u7403\u79d1\u5b66\u7b49\u591a\u4e2a\u5b66\u79d1\u4e2d\u53d1\u6325\u4e86\u91cd\u8981\u4f5c\u7528\u3002\u5728\u52a8\u529b\u7cfb\u7edf\u7406\u8bba\u3001\u7edf\u8ba1\u7269\u7406\u3001\u65f6\u95f4\u5e8f\u5217\u5206\u6790\u4e0e\u56fe\u8bba\u7b49\u591a\u79cd\u7406\u8bba\u4e2d\uff0c\u6211\u4eec\u90fd\u53ef\u4ee5\u4f7f\u7528\u7f51\u7edc\u4e2d\u76f8\u4e92\u4f5c\u7528\u7684\u8282\u70b9\u6765\u5bf9\u73b0\u5b9e\u4e16\u754c\u7684\u590d\u6742\u7cfb\u7edf\u8fdb\u884c\u5efa\u6a21\u3002\u590d\u6742\u7cfb\u7edf\u7684\u89c4\u6a21\u975e\u5e38\u591a\u6837\uff0c\u5305\u542b\u7684\u4e2a\u4f53\u5c11\u5230\u5c48\u6307\u53ef\u6570\uff0c\u591a\u5230\u6570\u4ee5\u4ebf\u8ba1\uff0c\u8fd8\u6709\u66f4\u5927\u7684\u901a\u4fe1\u7f51\u7edc\u6216\u5927\u8111\u3002\u7f51\u7edc\u7684\u7ec4\u7ec7\u7ed3\u6784\u53ef\u80fd\u975e\u5e38\u4e0d\u540c\uff0c\u5982\u5c42\u7ea7\u7ed3\u6784\u3001\u7a00\u758f\u7ed3\u6784\uff0c\u4e43\u81f3\u6241\u5e73\u7ed3\u6784\u3002<\/span><\/p>\n


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\u672c\u671f\u7279\u520a\u6e90\u4e8e\u5fb7\u56fd\u79d1\u5b66\u57fa\u91d1\u4f1aDFG\u548c\u5723\u4fdd\u7f57\u7814\u7a76\u57fa\u91d1\u4f1aFAPESP\u8d44\u52a9\u7684\u540c\u540d\u5fb7\u56fd-\u5df4\u897f\u56fd\u9645\u7814\u7a76\u57f9\u8bad\u5c0f\u7ec4IRTG\u7684\u7814\u7a76\u5de5\u4f5c\u3002\u8be5\u7ec4\u7ec7\u4e8e2011\u5e74\u542f\u52a8\uff0c\u62e5\u6709\u6765\u81ea\u5fb7\u56fd\u548c\u5df4\u897f\u56e2\u961f\u7684\u7269\u7406\u5b66\u5bb6\u3001\u6570\u5b66\u5bb6\u3001\u6c14\u5019\u5b66\u5bb6\u3001\u751f\u7269\u5b66\u5bb6\u548c\u5730\u7406\u5b66\u5bb6\uff0c\u8fd9\u4e9b\u79d1\u5b66\u5bb6\u5747\u6765\u81ea\u4e8e\u5723\u4fdd\u7f57\u5927\u5b66\u3001\u56fd\u5bb6\u7a7a\u95f4\u7814\u7a76\u6240\u3001\u67cf\u6797\u6d2a\u5821\u5927\u5b66\u3001\u6ce2\u8328\u5766\u6c14\u5019\u5f71\u54cd\u7814\u7a76\u6240\u7b49\u673a\u6784\u3002<\/span><\/p>\n


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\u6211\u4eec\u5c06\u8fd9\u4e9b\u7814\u7a76\u5212\u5206\u4e3a\u4e09\u4e2a\u90e8\u5206\uff1a\u7406\u8bba\u4e0e\u65b9\u6cd5\u3001\u795e\u7ecf\u79d1\u5b66\u4e2d\u7684\u5e94\u7528\uff0c\u4ee5\u53ca\u5728\u5730\u7403\u79d1\u5b66\u4e2d\u7684\u5e94\u7528\u3002<\/span><\/p>\n


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\u9996\u5148\uff0c\u7406\u8bba\u90e8\u5206\u6db5\u76d6\u4e86\u53ef\u6fc0\u53d1\u7cfb\u7edf\u7684\u96c6\u4f53\u52a8\u529b\u5b66\uff0c\u96c6\u805a\u52a8\u529b\u5b66<\/span>\uff08cluster dynamics\uff09<\/span>[1]\u3001\u566a\u58f0\u4e0e\u53cd\u9988\u7684\u4e92\u52a8[2]\u3001\u4e9a\u6269\u6563\u884c\u4e3a[5]\u3001\u7f51\u7edc\u4e0a\u7684\u4f20\u64ad\u73b0\u8c61[8]\u3001\u7c97\u7c92\u5316[9]\u3001\u591a\u90e8\u7f51\u7edc<\/span>\uff08multipartite network\uff09<\/span>\u3001\u90e8\u5206\u540c\u6b65[11]\u548c\u65f6\u6ede\u76f8\u4e92\u4f5c\u7528[13,14]\u7b49\u5185\u5bb9\u3002\u590d\u6742\u7f51\u7edc\u4f5c\u4e3a\u7cfb\u5217\u5de5\u4f5c\u7684\u5de5\u5177\uff0c\u5728\u8bc6\u522b\u4eba\u9020\u5047\u6570\u636e[3]\u3001\u793e\u56e2\u68c0\u6d4b<\/span>\uff08community detection\uff09<\/span>[4,12]\u3001\u65f6\u95f4\u5e8f\u5217\u6a21\u5f0f\u8bc6\u522b[6]\u3001\u6295\u7968\u52a8\u529b\u5b66\u5efa\u6a21[15]\u7b49\u95ee\u9898\u4e2d\u53d6\u5f97\u4e86\u5de8\u5927\u6210\u529f\u3002<\/span><\/p>\n


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\u540c\u65f6\uff0c\u590d\u6742\u7f51\u7edc\u5728\u5730\u7403\u79d1\u5b66\u4e0e\u795e\u7ecf\u79d1\u5b66\u9886\u57df\u4e5f\u6709\u7740\u5e7f\u6cdb\u5e94\u7528\u3002\u5728\u672c\u7279\u520a\u7684\u795e\u7ecf\u79d1\u5b66\u90e8\u5206\uff0c\u6211\u4eec\u7f57\u5217\u4e86\u795e\u7ecf\u7f51\u7edc\u5efa\u6a21[16]\u3001\u7ec6\u80de\u5185\u9499\u79bb\u5b50\u6fc0\u589e\u6a21\u578b[17]\u3001\u795e\u7ecf\u5143\u6574\u5408\u4e0e\u53d1\u653e\u968f\u673a\u6a21\u578b[18]\u7b49\u5de5\u4f5c\u3002\u6b64\u5916\uff0c\u4e5f\u6709\u6587\u7ae0\u9488\u5bf9\u795e\u7ecf\u5143\u53d1\u653e\u6a21\u578b\u7684\u566a\u58f0\u5efa\u6a21[20]\u548c\u8d85\u6781\u5316\u6fc0\u6d3b\u7535\u6d41\u52a8\u529b\u5b66\u6548\u5e94[19]\u8fdb\u884c\u4e86\u7814\u7a76\u3002<\/span><\/p>\n


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\u6700\u540e\uff0c\u6211\u4eec\u4ecb\u7ecd\u4e86\u590d\u6742\u7f51\u7edc\u5728\u5730\u7403\u79d1\u5b66\u7684\u5e94\u7528\u3002\u6211\u4eec\u5c06\u91cd\u70b9\u653e\u5728\u529f\u80fd\u6027\u6c14\u5019\u7f51\u7edc[21,26,28]\u4e0a\uff0c\u540c\u65f6\u4e5f\u5c55\u793a\u4e86\u590d\u6742\u6c14\u5019\u7f51\u7edc\u5982\u4f55\u6210\u4e3a\u89e3\u91ca\u591a\u79cd\u8fc7\u7a0b\u548c\u73b0\u8c61\u7684\u5de5\u5177\uff0c\u4f8b\u5982\u4e0eMadden-Julian\u632f\u8361<\/span>\uff08MJO\uff09<\/span>\u76f8\u5173\u7684\u8d64\u9053\u6ce2\u76f8\u4e92\u4f5c\u7528[23]\u3001\u6d77\u9762\u6e29\u5ea6\u4e0e\u964d\u6c34\u4e4b\u95f4\u7684\u5168\u7403\u4e3b\u8981\u534f\u53d8\u6a21\u5f0f[24]\u3001\u70ed\u5e26\u96e8\u6797\u4e2d\u706b\u707e\u4ea7\u751f\u7684\u65f6\u95f4\u4e0e\u533a\u57df[25]\u3001\u4e9a\u9a6c\u900a\u7684\u5927\u964d\u96e8[27]\u3001\u5357\u7f8e\u4f4e\u5c42\u73af\u6d41[29]\u3001\u6cdb\u70ed\u5e26\u68ee\u6797\u6c14\u5019\u5f15\u8d77\u7684\u8fdf\u6ede\u73b0\u8c61[32]\u7b49\u7b49\u3002<\/span><\/p>\n


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\u4ee5\u4e0b\u6211\u4eec\u5c06\u5bf9\u672c\u671f\u7279\u520a\u7684\u8d21\u732e\u8fdb\u884c\u66f4\u8be6\u7ec6\u7684\u6982\u8ff0\u3002<\/span><\/p>\n


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\u7406\u8bba\u4e0e\u65b9\u6cd5<\/strong><\/strong><\/p>\n<\/section>\n

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\u672c\u8282\u6211\u4eec\u4e3b\u8981\u4ecb\u7ecd\u4e86\u4ee5\u65b9\u6cd5\u4e3a\u5bfc\u5411\u7684\u7814\u7a76\u3002\u672c\u8282\u63d0\u5230\u7684\u5f88\u591a\u6587\u7ae0\u540c\u6837\u4e0e\u5e94\u7528\u5bc6\u5207\u76f8\u5173\uff0c\u8fd9\u91cc\u7684\u5206\u7c7b\u66f4\u591a\u662f\u4e3a\u4e86\u65b9\u4fbf\uff0c\u5e76\u4e0d\u662f\u5341\u5206\u4e25\u683c\u3002<\/span><\/p>\n


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1. \u53ef\u6fc0\u53d1\u5355\u5143\u4e2d\u7684\u6269\u5c55\u76f8\u6001\u4e0e\u4e24\u7c07\u76f8\u6001<\/span><\/strong><\/span><\/p>\n

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\u8bba\u6587\u9898\u76ee\uff1aSplay states and two-cluster states in ensembles of excitable units<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/doi.org\/10.1140\/epjs\/s11734-021-00173-2<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u52a8\u529b\u7cfb\u7edf\u7406\u8bba\u6700\u591a\u4ea7\u7684\u5e94\u7528\u4e4b\u4e00\u4fbf\u662f\u5728\u795e\u7ecf\u79d1\u5b66\u9886\u57df\uff0c\u8fd9\u4e0e\u5355\u4e2a\u795e\u7ecf\u5143\u53ef\u4ee5\u88ab\u7406\u89e3\u548c\u5efa\u6a21\u4e3a\u5177\u6709\u975e\u7ebf\u6027\u53cd\u9988\u7684\u7535\u8def\u8fd9\u4e00\u4e8b\u5b9e\u6709\u5173\u3002\u5c31\u5176\u672c\u8eab\u800c\u8a00\uff0c\u795e\u7ecf\u5143\u5177\u6709\u7a33\u5b9a\u7684\u9759\u606f\u6001\uff0c\u4f46\u5f53\u5b83\u53d7\u5230\u8db3\u591f\u7684\u523a\u6fc0\u65f6\uff0c\u5982\u6765\u81ea\u5176\u4ed6\u795e\u7ecf\u5143\u7684\u7535\u4fe1\u53f7\u523a\u6fc0\u65f6\uff0c\u5219\u4f1a\u5728\u77ed\u65f6\u95f4\u5185\u8f6c\u6362\u5230\u4e0e\u9759\u606f\u6001\u5dee\u5f02\u5de8\u5927\u7684\u6fc0\u53d1\u6001\uff0c\u8fd9\u79cd\u751f\u7406\u7279\u6027<\/span>\uff08\u901a\u5e38\u79f0\u4e3a\u5174\u594b\u6027\uff0cexcitability\uff09<\/span>\u53ef\u4ee5\u5bf9\u5e94\u4e8e\u52a8\u529b\u7cfb\u7edf\u4e2d\u7684\u67d0\u4e2a\u6781\u9650\u73af\u5206\u5c94\u3002\u63cf\u8ff0\u795e\u7ecf\u5143\u7684\u5173\u952e\u6982\u5ff5\u4e4b\u4e00\u4fbf\u662f\u5174\u594b\u6027\u3002I \u7c7b\u5174\u594b\u6027\u8f6c\u5316\u4e3a\u52a8\u6001\u7cfb\u7edf\u540e\u63a5\u8fd1\u978d\u8282\u70b9\u540c\u5bbf\u5206\u5c94\uff0c\u800c\u5177\u6709\u6b64\u7279\u5f81\u7684\u6700\u7b80\u5355\u7684\u52a8\u529b\u7cfb\u7edf\u662f\u4e3b\u52a8\u65cb\u8f6c\u5668<\/span>\uff08active rotator\uff09<\/span>\u3002<\/span><\/p>\n

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\u5468\u671f\u6027\u8f68\u9053\u5206\u5c94\u60c5\u666f\u793a\u610f\u56fe\uff0c\u6269\u5c55\u76f8\u6001\u4e0e\u5468\u671f\u6027\u4e24\u7c07\u76f8\u6001\u7684\u5206\u5c94\u5206\u522b\u53d1\u751f\u4e8es1<\/sub>\u548cs2<\/sub><\/span><\/section>\n


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Ronge\u548cZaks[1]\u53d1\u8868\u7684\u6587\u7ae0\u4f7f\u7528\u4e3b\u52a8\u65cb\u8f6c\u5668\u4f5c\u4e3aI\u7c7b\u53ef\u5174\u594b\u5143\u7d20\u7684\u4ee3\u8868\uff0c\u7814\u7a76\u4e86\u5177\u6709\u6392\u65a5\u76f8\u4e92\u4f5c\u7528\u7684\u540c\u8d28\u53ef\u6fc0\u53d1\u5355\u5143\u7cfb\u7edf\u4e2d\u5468\u671f\u6027\u96c6\u4f53\u632f\u8361\u884c\u4e3a\u7684\u6d8c\u73b0\u4e0e\u7a33\u5b9a\u6027\uff0c\u6587\u7ae0\u7279\u522b\u5173\u6ce8\u4e8e\u6269\u5c55\u76f8\u6001\u548c\u53cc\u7c07\u76f8\u6001\u3002<\/span><\/p>\n


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2. \u5177\u6709\u6162\u6b63\u53cd\u9988\u7684\u8026\u5408\u53ef\u6fc0\u53d1\u7cfb\u7edf\u7684\u566a\u58f0\u8bf1\u5bfc\u52a8\u529b\u5b66<\/span><\/strong><\/span>
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\u8bba\u6587\u9898\u76ee\uff1aNoise-induced dynamics of coupled excitable systems with slow positive feedback.<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/doi.org\/10.1140\/epjs\/s11734-021-00171-4<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u5728\u53ef\u6fc0\u53d1\u7cfb\u7edf\u4e2d\uff0c\u8d85\u9608\u503c\u523a\u6fc0\u4f1a\u5f15\u8d77\u5f3a\u70c8\u7684\u53cd\u5e94\uff0c\u5373\u201c\u4e8b\u4ef6\u201d\u3002\u4e8b\u4ef6\u7684\u751f\u6210\u901a\u5e38\u7531\u7f13\u6162\u7684\u53cd\u9988\u8fc7\u7a0b\u6240\u8c03\u63a7\u3002Kromer[2]\u4f7f\u7528\u4e3b\u52a8\u65cb\u8f6c\u5668\u6a21\u578b\uff0c\u7814\u7a76\u4e86\u53ef\u6fc0\u53d1\u7cfb\u7edf\u4e2d\u566a\u58f0\u548c\u4e8b\u4ef6\u89e6\u53d1\u53cd\u9988\u673a\u5236\u7684\u76f8\u4e92\u4f5c\u7528\u3002\u9996\u5148\uff0c\u6587\u7ae0\u56de\u987e\u4e86\u5177\u6709\u6b63\u53cd\u9988\u7684\u5355\u4e2a\u4e3b\u52a8\u65cb\u8f6c\u5668\u7684\u6700\u65b0\u7814\u7a76\u7ed3\u679c\uff1a\u53cd\u9988\u53ef\u80fd\u5bfc\u81f4\u7a81\u53d8\uff0c\u8fd9\u662f\u7531\u4e9a\u9608\u503c\u548c\u8d85\u9608\u503c\u673a\u5236\u4e4b\u95f4\u7684\u968f\u673a\u5207\u6362\u5bfc\u81f4\u7684\uff0c\u8fd9\u4e24\u79cd\u65b9\u6848\u80fd\u5728\u6709\u9650\u7684\u566a\u58f0\u5f3a\u5ea6\u8303\u56f4\u5185\u5171\u5b58\u3002<\/span><\/p>\n

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\u5177\u6709\u6b63\u53cd\u9988\u7684\u5355\u4e2a\u6709\u566a\u58f0\u4e3b\u52a8\u65cb\u8f6c\u5668\u4e2d\u7684\u566a\u58f0\u63a7\u5236\u53cc\u7a33\u6001<\/span><\/p>\n


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\u5176\u6b21\uff0c\u6587\u7ae0\u4ecb\u7ecd\u4e86\u5728\u5b58\u5728\u6b63\u53cd\u9988\u7684\u60c5\u51b5\u4e0b\uff0c\u5173\u4e8e\u5168\u5bf9\u5168<\/span>\uff08all-to-all\uff09<\/span>\u8026\u5408\u4e3b\u52a8\u65cb\u8f6c\u5668\u7684\u65b0\u7ed3\u679c\uff1a\u6765\u81ea\u5176\u4ed6\u4e3b\u52a8\u65cb\u8f6c\u5668\u7684\u566a\u58f0\u3001\u53cd\u9988\u548c\u8f93\u5165\u7684\u76f8\u4e92\u4f5c\u7528\uff0c\u53ef\u80fd\u5bfc\u81f4\u5355\u4e2a\u4e2a\u4f53\u7684\u5f02\u6b65\u7a81\u53d8\u548c\u6574\u4e2a\u7f51\u7edc\u7684\u96c6\u4f53\u7a81\u53d8<\/span>\uff08Collective bursting\uff09<\/span>\uff0c\u96c6\u4f53\u4e8b\u4ef6\u5f88\u5927\u7a0b\u5ea6\u4e0a\u53d7\u7f51\u7edc\u89c4\u6a21\u7684\u5f71\u54cd\u3002\u5728\u56fa\u5b9a\u7684\u566a\u58f0\u5f3a\u5ea6\u4e0b\uff0c\u5927\u578b\u7f51\u7edc\u4e2d\u89c2\u5bdf\u5230\u7a00\u758f\u7684\u96c6\u4f53\u4e8b\u4ef6\u751f\u6210\uff0c\u800c\u5c0f\u578b\u7f51\u7edc\u8868\u73b0\u51fa\u5feb\u901f\u7684\u96c6\u4f53\u4e8b\u4ef6\uff0c\u4e2d\u7b49\u7f51\u7edc\u89c4\u6a21\u5219\u4f1a\u53d1\u751f\u96c6\u4f53\u7a81\u53d8\u3002\u6587\u7ae0\u6240\u5448\u73b0\u7684\u7ed3\u679c\u6709\u52a9\u4e8e\u66f4\u6df1\u5165\u5730\u4e86\u89e3\u76f8\u4e92\u4f5c\u7528\u7684\u53ef\u6fc0\u53d1\u7cfb\u7edf\u4e2d\uff0c\u566a\u58f0\u548c\u6162\u53cd\u9988\u8fc7\u7a0b\u7684\u590d\u6742\u76f8\u4e92\u4f5c\u7528\u3002<\/span><\/p>\n


<\/h3>\n

3. \u4f7f\u7528\u9012\u5f52\u5fae\u89c2\u6001\u6982\u7387\u68c0\u6d4b\u5e73\u7a33\u65f6\u95f4\u5e8f\u5217\u4e2d\u7684\u6570\u636e\u7834\u574f<\/span><\/strong><\/span><\/h3>\n
\n
\n
\n

\u8bba\u6587\u9898\u76ee\uff1aDetection of data corruption in stationary time series using recurrence microstates probabilities<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/doi.org\/10.1140\/epjs\/s11734-021-00169-y<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


<\/section>\n

\u9012\u5f52\u5fae\u89c2\u6001\u53ef\u7528\u4e8e\u5206\u6790\u968f\u673a\u548c\u786e\u5b9a\u6027\u65f6\u95f4\u5e8f\u5217\u5728\u5e73\u7a33\u72b6\u6001\u4e0b\u7684\u8bb8\u591a\u5c5e\u6027\uff0c\u5305\u62ec\u968f\u673a\u4fe1\u53f7\u7684\u76f8\u5173\u6027\u6c34\u5e73\u3002Prado\u7b49\u4eba[3]\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528\u9012\u5f52\u5fae\u89c2\u6001\u7edf\u8ba1\uff0c\u6765\u68c0\u6d4b\u4eba\u5de5\u63d2\u5165\u7684\u6570\u636e<\/span>\uff08\u4e0d\u5c5e\u4e8e\u539f\u59cb\u9759\u6b62\u4fe1\u53f7\u7684\u6570\u636e\uff09<\/span>\u3002\u7814\u7a76\u8005\u4eec\u5728\u6587\u7ae0\u4e2d\u9a8c\u8bc1\u4e86\u8be5\u65b9\u6cd5\u7684\u7075\u654f\u6027\uff0c\u5e76\u5c06\u6587\u4e2d\u7684\u5206\u6790\u793a\u4f8b\u5e94\u7528\u4e8e logistic \u6620\u5c04\u548c\u6d1b\u4f26\u5179\u65b9\u7a0b\u4e2d\uff0c\u6700\u540e\u5728\u901a\u8fc7\u6570\u503c\u6a21\u62df\u751f\u6210\u7684\u52a8\u529b\u5b66\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u548c\u4eba\u7c7b\u8bed\u97f3\u6570\u636e\u4e0a\u8fdb\u884c\u4e86\u5b9e\u4f8b\u5206\u6790\u3002<\/span><\/p>\n

               <\/span><\/p>\n

<\/span><\/p>\n

N=2\u7684\u60c5\u51b5\u4e0b\uff0c\u6240\u6709\u53ef\u80fd\u7684\u9012\u5f52\u5fae\u89c2\u6001\u3002<\/span><\/p>\n


<\/p>\n

4. \u7efc\u8ff0\uff1a\u529b\u5bfc\u5411\u7b97\u6cd5\u4f5c\u4e3a\u793e\u56e2\u68c0\u6d4b\u7684\u5de5\u5177<\/span><\/strong><\/span><\/h3>\n
\n
\n
\n

\u8bba\u6587\u9898\u76ee\uff1aForce-directed algorithms as a tool to support community detection: a review<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/doi.org\/10.1140\/epjs\/s11734-021-00167-0<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


<\/section>\n

\u529b\u5bfc\u5411\u7b97\u6cd5\u662f\u4e00\u7c7b\u5e7f\u6cdb\u5e94\u7528\u4e8e\u901a\u8fc7\u7269\u7406\u5b9a\u5f8b\u5efa\u6a21\uff0c\u5e76\u901a\u8fc7\u7c92\u5b50\u6a21\u62df\u6765\u89e3\u51b3\u95ee\u9898\u7684\u65b9\u6cd5\u3002\u4e00\u4e9b\u7814\u7a76\u8005\u7ed3\u5408\u56fe\u53ef\u89c6\u5316\u7406\u8bba\u7684\u5185\u5bb9\uff0c\u5c06\u529b\u5bfc\u5411\u7b97\u6cd5\u4f5c\u4e3a\u5904\u7406\u793e\u56e2\u68c0\u6d4b<\/span>\uff08community detection\uff0c\u4e5f\u79f0\u793e\u56e2\u5212\u5206\uff09<\/span>\u95ee\u9898\u7684\u5de5\u5177\u3002\u7136\u800c\uff0c\u8fd9\u65b9\u9762\u7684\u7814\u7a76\u4f3c\u4e4e\u88ab\u590d\u6742\u7f51\u7edc\u7684\u6587\u732e\u6240\u5ffd\u89c6\u3002<\/span><\/p>\n

               <\/span><\/p>\n

<\/span><\/p>\n

\u4e00\u79cd\u529b\u5bfc\u5411\u6a21\u578b\u2014\u2014\u5f39\u7c27\u5d4c\u5165\u5668\u6a21\u578b\u7684\u793a\u610f\u56fe<\/span><\/p>\n


<\/p>\n

Gouv\u00eaa\u7b49\u4eba[4]\u5bf9\u4f7f\u7528\u529b\u5bfc\u5411\u7b97\u6cd5\u89e3\u51b3\u793e\u56e2\u68c0\u6d4b\u95ee\u9898\u7684\u7814\u7a76\u8fdb\u884c\u4e86\u7cfb\u7edf\u7efc\u8ff0\u3002\u8be5\u6587\u7ae0\u4ecb\u7ecd\u4e86\u6709\u5173\u4e3b\u9898\u7684\u57fa\u7840\u5185\u5bb9\u548c\u6700\u65b0\u6280\u672f\uff0c\u91cd\u65b0\u5ba1\u89c6\u4e86\u8be5\u9886\u57df\u5df2\u6709\u7684\u5de5\u4f5c\u5e76\u6307\u51fa\u5176\u76f8\u4f3c\u4e4b\u5904\uff0c\u4f46\u4e3b\u8981\u5f3a\u8c03\u4e86\u5173\u4e8e\u7ed8\u5236\u4e00\u822c\u56fe\u95ee\u9898\u7684\u7279\u6b8a\u6027\u3002\u8be5\u6587\u732e\u7efc\u8ff0\u65e8\u5728\u7ec4\u7ec7\u6709\u5173\u8be5\u4e3b\u9898\u7684\u77e5\u8bc6\u5e76\u7a81\u51fa\u6700\u65b0\u6280\u672f\u3002\u6587\u7ae0\u8c03\u7814\u8868\u660e\uff0c\u8bb8\u591a\u7f51\u7edc\u53ef\u89c6\u5316\u5de5\u5177\u9009\u62e9\u7684\u6a21\u578b\u5e76\u4e0d\u9002\u5408\u793e\u56e2\u68c0\u6d4b\u95ee\u9898\uff0c\u8fd8\u7279\u522b\u5f3a\u8c03\u4e86\u529b\u5bfc\u5411\u7b97\u6cd5\u662f\u6700\u9002\u5408\u793e\u56e2\u68c0\u6d4b\u7684\u7b97\u6cd5\u3002<\/span><\/p>\n


<\/p>\n

5. \u6807\u51c6\u6620\u5c04\u4e2d\u7684\u4e9a\u6269\u6563\u884c\u4e3a<\/span><\/strong><\/span><\/h3>\n
\n
\n
\n

\u8bba\u6587\u9898\u76ee\uff1aSub-diffusive behavior in the standard map<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/doi.org\/10.1140\/epjs\/s11734-021-00165-2<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


<\/section>\n

\u4e9a\u6269\u6563<\/span>\uff08sub-diffusive\uff09<\/span>\u8fc7\u7a0b\u5b58\u5728\u4e8e\u81ea\u7136\u79d1\u5b66\u7684\u591a\u4e2a\u9886\u57df \u3002\u6211\u4eec\u5728\u590d\u6742\u7684\u7269\u7406\u3001\u5316\u5b66\u548c\u751f\u7269\u7cfb\u7edf\u4e2d\u53d1\u73b0\u4e86\u5927\u91cf\u5b9e\u9a8c\u8bc1\u636e\uff0c\u53ef\u8bc1\u660e\u4e9a\u6269\u6563\u884c\u4e3a\u5b58\u5728\uff0c\u56e0\u6b64\u6709\u5fc5\u8981\u5bf9\u8be5\u73b0\u8c61\u8fdb\u884c\u57fa\u672c\u4e86\u89e3 \u3002<\/span><\/p>\n

               <\/span><\/p>\n

<\/span><\/p>\n

Chirikov-Taylor \u6807\u51c6\u6620\u5c04\u7684\u76f8\u7a7a\u95f4\u8868\u793a<\/span><\/p>\n


<\/span><\/p>\n

Sliva\u7b49\u4eba[5]\u7814\u7a76\u4e86 Chirikov-Taylor \u6807\u51c6\u6620\u5c04\u4e2d\u5b58\u5728\u7684\u4e9a\u6269\u6563\u884c\u4e3a\u3002\u7814\u7a76\u8868\u660e\uff0c\u8be5\u7cfb\u7edf\u5728\u7c98\u6027\u5f71\u54cd\u4e0b\u7684\u8f68\u8ff9\u6f14\u5316\u53ef\u4ee5\u88ab\u63cf\u8ff0\u4e3a\u4e00\u4e2a\u4e9a\u6269\u6563\u8fc7\u7a0b\u3002\u4ed6\u4eec\u5f00\u53d1\u7684\u7a0b\u5e8f\u540c\u6837\u9002\u7528\u4e8e\u5176\u4ed6\u54c8\u5bc6\u987f\u7cfb\u7edf\uff0c\u4e5f\u9002\u7528\u4e8e\u7814\u7a76\u590d\u6742\u7f51\u7edc\u4e0a\u7684\u4f20\u8f93\u7279\u6027\u3002<\/span><\/p>\n


<\/p>\n

6. \u901a\u8fc7\u5206\u5c42\u793e\u56e2\u68c0\u6d4b\u8fdb\u884c\u65f6\u95f4\u5e8f\u5217\u6a21\u5f0f\u8bc6\u522b<\/span><\/strong><\/span><\/h3>\n
\n
\n
\n

\u8bba\u6587\u9898\u76ee\uff1aTime series pattern identification by hierarchical community detection<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/doi.org\/10.1140\/epjs\/s11734-021-00163-4<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


<\/section>\n

\u65f6\u95f4\u5e8f\u5217\u6a21\u5f0f\u8bc6\u522b\u662f\u4e00\u4e2a\u5e7f\u6cdb\u7684\u7814\u7a76\u9886\u57df\u3002\u5728\u8fc7\u53bb\u5341\u5e74\u4e2d\uff0c\u968f\u7740\u5904\u7406\u4e0d\u540c\u9886\u57df\u65f6\u95f4\u5e8f\u5217\u6280\u672f\u7684\u53d1\u5c55\uff0c\u8be5\u9886\u57df\u53d6\u5f97\u4e86\u5de8\u5927\u7684\u8fdb\u6b65\u3002\u5176\u4e2d\u4e00\u4e2a\u91cd\u8981\u7684\u7ec6\u5206\u7814\u7a76\u65b9\u5411\uff0c\u662f\u501f\u52a9\u590d\u6742\u7f51\u7edc\u6765\u5206\u6790\u65f6\u95f4\u5e8f\u5217\u3002\u65e0\u8bba\u662f\u5728\u6570\u636e\u590d\u6742\u6027\u65b9\u9762\u8fd8\u662f\u5728\u6a21\u578b\u6846\u67b6\u65b9\u9762\uff0c\u5bf9\u7f51\u7edc\u62d3\u6251\u7684\u7814\u7a76\u6709\u6548\u4fc3\u8fdb\u4e86\u4eba\u4eec\u5bf9\u8be5\u9886\u57df\u7684\u7406\u89e3\u3002<\/span><\/p>\n

               <\/span><\/p>\n

<\/span><\/section>\n
\u65b9\u6cd5\u6d41\u7a0b\u56fe\u3002*\u5206\u6bb5\u6570\u91cf\u53d6\u51b3\u4e8e\u5b9e\u9a8c\u4e2d\u4f7f\u7528\u7684\u7a97\u53e3\u5927\u5c0f\uff0c**\u76f8\u4f3c\u5ea6\u540c\u6837\u662f\u9700\u8981\u8bbe\u7f6e\u7684\u53c2\u6570\u3002<\/span><\/section>\n


<\/p>\n

Anghinoni\u7b49\u4eba[6]\u5c55\u793a\u4e86\u4e00\u79cd\u4f7f\u7528\u590d\u6742\u7f51\u7edc\u5de5\u5177\u8bc6\u522b\u65f6\u95f4\u5e8f\u5217\u6a21\u5f0f\u7684\u65b9\u6cd5\u3002\u8be5\u65b9\u6cd5\u9996\u5148\u6839\u636e\u65f6\u95f4\u5e8f\u5217\u4e0d\u540c\u7247\u6bb5\u4e4b\u95f4\u7684\u76f8\u5173\u6027\uff0c\u5c06\u65f6\u95f4\u5e8f\u5217\u8f6c\u6362\u4e3a\u7f51\u7edc\uff0c\u7136\u540e\u901a\u8fc7\u7f51\u7edc\u6307\u6807<\/span>\uff08\u5982\u6a21\u5757\u5ea6\uff09<\/span>\u6355\u83b7\u91cd\u590d\u5c42\u7ea7\u6a21\u5f0f\u7684\u5b58\u5728\uff0c\u4f8b\u5982\u793e\u56e2\u68c0\u6d4b\u8fc7\u7a0b\u4e2d\u7684\u6a21\u5757\u5316\u3002<\/span><\/p>\n


<\/p>\n

7. \u968f\u673a\u8fd1\u4f3c\u6700\u4f18\u63a7\u5236\uff1a\u52a0\u6cd5\u3001\u4e58\u6cd5\u3001\u975e\u9a6c\u5c14\u53ef\u592b\u4e0e\u5e94\u7528<\/span><\/strong><\/span><\/h3>\n
\n
\n
\n

\u8bba\u6587\u9898\u76ee\uff1aStochastic near-optimal control: additive, multiplicative, non-Markovian and applications<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/doi.org\/10.1140\/epjs\/s11734-021-00185-y<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


<\/section>\n

\u5728\u4efb\u4f55\u7269\u7406\u7cfb\u7edf\u4e2d\uff0c\u63a7\u5236\u7406\u8bba\u5728\u5fae\u5206\u65b9\u7a0b\u7684\u5927\u591a\u6570\u5e94\u7528\u4e2d\u90fd\u53d1\u6325\u7740\u91cd\u8981\u4f5c\u7528\u3002\u65e0\u8bba\u7cfb\u7edf\u662f\u5426\u4e0e\u65f6\u95f4\u6709\u5173\uff0c\u5f53\u4eba\u4eec\u5c1d\u8bd5\u63a7\u5236\u4e00\u4e2a\u7cfb\u7edf\u7684\u4e00\u4e2a\u6216\u591a\u4e2a\u53c2\u6570\u65f6<\/span>\uff08\u5982\u6e29\u5ea6\u3001\u538b\u529b\u3001\u7269\u8d28\u6d53\u5ea6\u3001\u6295\u8d44\u3001\u6e7f\u5ea6\u3001\u81ea\u52a8\u9a7e\u9a76\u6c7d\u8f66\u7684\u4f4d\u7f6e\u548c\u901f\u5ea6\u3001\u536b\u661f\u3001\u7535\u78c1\u53c2\u6570\u3001\u4eba\u7fa4\u4e2d\u7684\u75ab\u82d7\u63a5\u79cd\u4f5c\u7528\u7b49\uff09<\/span>\uff0c\u8fd9\u4e00\u7406\u8bba\u81f3\u5173\u91cd\u8981\u3002<\/span><\/p>\n

               <\/span><\/p>\n

<\/span><\/p>\n

\u8499\u7279\u5361\u7f57\u6700\u4f18\u63a7\u5236\u903c\u8fd1\u5b9e\u9a8c<\/span><\/p>\n


<\/span><\/p>\n

Lima\u7b49\u4eba [7] \u56de\u987e\u4e86\u5173\u4e8e\u8fd1\u4f3c\u6700\u4f18\u968f\u673a\u63a7\u5236\u95ee\u9898\u7684\u6700\u65b0\u7814\u7a76\u6210\u679c\u3002\u7279\u522b\u662f\uff0c\u4ed6\u4eec\u4e13\u6ce8\u4e8e\u566a\u58f0\u503c\u7684\u79bb\u6563\u5316\u65b9\u6cd5\uff0c\u800c\u4e0d\u662f\u6b63\u5219\u65f6\u95f4\u79bb\u6563\u5316<\/span>\uff08canonical time-discretization\uff09<\/span>\u3002<\/span><\/p>\n


<\/p>\n

8. \u590d\u6742\u7f51\u7edc\u4e2d\u4f20\u64ad\u8fc7\u7a0b\u7684\u8def\u5f84\u79ef\u5206\u516c\u5f0f<\/span><\/strong><\/span><\/h3>\n
\n
\n
\n

\u8bba\u6587\u9898\u76ee\uff1aPath-integral formulation of spreading processes in complex networks<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/doi.org\/10.1140\/epjs\/s11734-021-00161-6<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


<\/section>\n

\u8fd1\u5e74\u6765\uff0c\u7531\u4e8e\u5404\u7c7b\u4ea4\u901a\u8fd0\u8f93\u5de5\u5177\u7684\u901f\u5ea6\u65e5\u76ca\u63d0\u9ad8\uff0c\u5bf9\u7a81\u53d1\u75be\u75c5\u7684\u9884\u6d4b\u548c\u63a7\u5236\u53d8\u5f97\u5c24\u4e3a\u91cd\u8981\u3002\u76ee\u524d\u5df2\u6709\u4e00\u7cfb\u5217\u8bba\u6587\u81f4\u529b\u4e8e\u590d\u6742\u7f51\u7edc\u4e2d\u7684\u611f\u67d3\u5230\u8fbe\u65f6\u95f4\u95ee\u9898\uff0c\u5927\u591a\u6570\u57fa\u4e8e\u5171\u540c\u7684\u5047\u8bbe\u2014\u2014\u4e0e\u6700\u5927\u51fa\u884c\u6982\u7387\u6709\u5173\u7684\u5355\u6761\u4e3b\u8981\u8def\u5f84\u8db3\u4ee5\u51c6\u786e\u4f30\u8ba1\u4f20\u64ad\u8fc7\u7a0b\u7684\u5230\u8fbe\u65f6\u95f4\u3002\u867d\u7136\u8fd9\u5728\u67d0\u4e9b\u7279\u5b9a\u60c5\u51b5\u4e0b\u662f\u90e8\u5206\u6b63\u786e\u7684\uff0c\u4f46\u5728\u4e00\u822c\u60c5\u51b5\u4e0b\uff0c\u8fd9\u79cd\u5047\u8bbe\u53ef\u80fd\u4f1a\u5bfc\u81f4\u8f83\u5dee\u7684\u4f30\u8ba1\u7ed3\u679c\u3002<\/span><\/p>\n

  <\/span><\/p>\n

<\/span><\/section>\n
\u5de6\u56fe\uff1a\u4e0d\u540c\u89c2\u5bdf\u65f6\u95f4\u70b9\u4e0b\uff0c\u4ece\u5723\u4fdd\u7f57\u7f57\u74dc\u9c81\u67f3\u65af\u56fd\u9645\u673a\u573a\u7206\u53d1\u7684\u75c5\u6bd2\u4f20\u64ad\u60c5\u51b5\u3002\u53f3\u56fe\uff1a\u5728\u6587\u4e2d\u5b9a\u4e49\u7684\u8def\u5f84\u79ef\u5206\u4e0b\uff0c\u9690\u7a7a\u95f4\u4e2d\u75c5\u6bd2\u57fa\u672c\u5448\u5706\u5f62\u6ce2\u4f20\u64ad\u3002<\/span><\/section>\n


<\/p>\n

Lanelli\u548cSokolov[8]\u5f15\u5165\u4e86\u4e00\u79cd\u57fa\u4e8e\u7f51\u7edc\u7684\u8def\u5f84\u79ef\u5206\u516c\u5f0f\uff0c\u5bf9\u6d4b\u5730\u8ddd\u79bb\u8fdb\u884c\u4e86\u5b9a\u4e49\uff0c\u5e76\u63d0\u4f9b\u4e86\u5bf9\u75be\u75c5\u4f20\u64ad\u52a8\u529b\u5b66\u7684\u57fa\u672c\u7b80\u4ecb\u4ee5\u53ca\u5bf9\u611f\u67d3\u5230\u8fbe\u65f6\u95f4\u7684\u6709\u6548\u6570\u503c\u4f30\u8ba1\u3002<\/span><\/p>\n


<\/h3>\n

9. \u4e8c\u5206\u7f51\u7edc\u4e0a\u7c97\u7c92\u5316\u7b97\u6cd5\u7684\u56de\u987e\u548c\u6bd4\u8f83\u5206\u6790<\/span><\/strong><\/span><\/h3>\n
\n
\n
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\u8bba\u6587\u9898\u76ee\uff1aA review and comparative analysis of coarsening algorithms on bipartite networks<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/doi.org\/10.1140\/epjs\/s11734-021-00159-0<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


<\/section>\n

\u4e8c\u5206\u7f51\u7edc\u662f\u4e00\u79cd\u5e38\u89c1\u7684\u7f51\u7edc\u6a21\u5f0f\uff0c\u8be5\u7c7b\u578b\u7f51\u7edc\u5305\u542b\u4e24\u79cd\u7c7b\u578b\u7684\u8282\u70b9\uff0c\u4e14\u6bcf\u6761\u8fde\u8fb9\u5747\u8fde\u63a5\u7740\u4e0d\u540c\u7c7b\u578b\u7684\u8282\u70b9\u3002\u5728\u79d1\u5b66\u7814\u7a76\u4e2d\uff0c\u4e8c\u5206\u7f51\u7edc\u88ab\u5e7f\u6cdb\u7528\u4e8e\u8868\u793a\u4e24\u7c7b\u5b9e\u4f53\u6216\u73b0\u8c61\u4e4b\u95f4\u7684\u6210\u5bf9\u5173\u7cfb\uff0c\u4f8b\u5982\u6587\u6863\u548c\u672f\u8bed \u3001\u60a3\u8005\u548c\u57fa\u56e0\u8868\u8fbe\u3001\u8bfb\u8005\u4e0e\u4e66\u7c4d\u7b49\u3002<\/span><\/p>\n

               <\/span><\/p>\n

<\/span><\/section>\n
\u4e8c\u5206\u7f51\u7edc\u7684\u7c97\u7c92\u5316\u8fc7\u7a0b\uff1aa\u56fe\u4e3a\u6807\u6ce8\u4e86\u7c97\u7c92\u5316\u65b9\u6848\u7684\u5fae\u89c2\u4e8c\u5206\u7f51\u7edc\uff0cb\u56fe\u5c06\u9009\u5b9a\u7684\u8282\u70b9\u6298\u53e0\u6210\u4e00\u4e2a\u8d85\u8282\u70b9\uff0c\u5e76\u4e14\u4efb\u4f55\u4e0e\u5339\u914d\u8282\u70b9\u76f8\u5173\u7684\u8fde\u8fb9\u90fd\u6298\u53e0\u6210\u8d85\u8fb9\uff0c\u7ebf\u7684\u7c97\u7ec6\u8868\u793a\u76f8\u5bf9\u8fde\u8fb9\u6743\u91cd\u3002<\/span><\/section>\n


<\/p>\n

Valejo\u7b49\u4eba[9]\u5bf9\u4e8c\u5206\u7f51\u7edc\u4e0a\u7684\u7c97\u7c92\u5316\u7b97\u6cd5\u8fdb\u884c\u4e86\u56de\u987e\u548c\u6bd4\u8f83\u5206\u6790\uff0c\u5e76\u5c55\u793a\u4e86\u4f7f\u7528\u8fd9\u4e9b\u7c97\u7c92\u5316\u7b97\u6cd5\u89e3\u51b3\u4e8c\u5206\u7f51\u7edc\u4e0a\u7684\u7c97\u7c92\u5316\u95ee\u9898\u7684\u793a\u4f8b\u3002<\/span><\/p>\n


<\/p>\n

10. \u7a7a\u95f4\u6269\u5c55\u7cfb\u7edf\u4e2d\u7ebf\u6027\u54cd\u5e94\u7684\u9884\u6d4b\u53d8\u91cf<\/span><\/strong><\/span><\/h3>\n
\n
\n
\n

\u8bba\u6587\u9898\u76ee\uff1aPredictors and predictands of linear response in spatially extended systems<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/doi.org\/10.1140\/epjs\/s11734-021-00158-1<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


<\/p>\n

\u5728\u5176\u8bb8\u591a\u7edf\u8ba1\u529b\u5b66\u516c\u5f0f\u4e2d\uff0c\u54cd\u5e94\u7406\u8bba<\/span>\uff08response theory\uff09<\/span>\u7684\u76ee\u6807\u90fd\u662f\u6839\u636e\u672a\u6270\u52a8\u72b6\u6001\u6216\u5e94\u7528\u6270\u52a8\u7684\u77e5\u8bc6\uff0c\u6765\u9884\u6d4b\u7cfb\u7edf\u7684\u6270\u52a8\u54cd\u5e94\u3002\u6700\u8fd1\u5bf9\u8be5\u95ee\u9898\u7684\u65b0\u7814\u7a76\u89d2\u5ea6\u96c6\u4e2d\u4e8e\u63d0\u4f9b\u4e00\u79cd\u80fd\u9884\u6d4b\u7cfb\u7edf\u53ef\u89c2\u6d4b\u53d8\u5316\u7684\u65b9\u6cd5\uff0c\u5177\u4f53\u6765\u8bf4\u662f\u901a\u8fc7\u4f7f\u7528\u53e6\u4e00\u4e2a\u53ef\u89c2\u5bdf\u7269\u4f5c\u4e3a\u5b9e\u9645\u89c2\u5bdf\u5bf9\u8c61\u7684\u66ff\u4ee3\u54c1\u3002\u5728\u4fe1\u606f\u4e0d\u5b8c\u6574\u7684\u60c5\u51b5\u4e0b\uff0c\u8fd9\u79cd\u65b9\u6cd5\u6216\u8bb8\u80fd\u89e3\u51b3\u590d\u6742\u7cfb\u7edf\u4e2d\u81f3\u5173\u91cd\u8981\u7684\u56e0\u679c\u5173\u7cfb\u95ee\u9898\u3002<\/span><\/p>\n

               <\/span><\/p>\n

<\/span><\/p>\n

Lorenz’96\u6c14\u5019\u6a21\u578b\u4e2d\uff0ct\u65f6\u523b\u4ecexk<\/sub>\u5f00\u59cb\u7684\u77ed\u65f6\u95f4\u6270\u52a8\u4f20\u64ad\u8fc7\u7a0b<\/span><\/p>\n


<\/p>\n

Tomasini \u548c Lucarini [10]\u7684\u7814\u7a76\u5bf9\u7a7a\u95f4\u6269\u5c55\u7cfb\u7edf\u7684\u54cd\u5e94\u7406\u8bba\u505a\u51fa\u4e86\u5de8\u5927\u8d21\u732e\uff0c\u7814\u7a76\u8005\u4eec\u63d0\u51fa\u4e86\u4e00\u79cd\u5bf9\u53ef\u89c2\u6d4b\u7269\u7684\u9884\u6d4b\u80fd\u529b\u8fdb\u884c\u91cf\u5316\u548c\u6392\u5e8f\u7684\u65b9\u6cd5\uff0c\u5e76\u5c06\u5176\u5e94\u7528\u4e8e\u8303\u5f0f\u7a7a\u95f4\u6269\u5c55\u7cfb\u7edf Lorenz’96 \u6c14\u5019\u6a21\u578b\u7684\u54cd\u5e94\u3002<\/span><\/p>\n


<\/p>\n

11. \u4f7f\u7528\u76f8\u4f4d\u52a8\u529b\u5b66\u7814\u7a76\u90e8\u5206\u540c\u6b65\uff1a\u4e09\u4e2a\u5b9e\u4f8b<\/span><\/strong><\/span><\/h3>\n
\n
\n
\n

\u8bba\u6587\u9898\u76ee\uff1aUsing phase dynamics to study partial synchrony: three examples<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/doi.org\/10.1140\/epjs\/s11734-021-00156-3<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


<\/section>\n

17\u4e16\u7eaa\u540e\u671f\uff0c\u4eba\u4eec\u5bf9\u540c\u6b65\u73b0\u8c61\u6709\u4e86\u521d\u6b65\u7684\u89c2\u5bdf\u3002\u6700\u521d\u662f\u8377\u5170\u533b\u751fKaempfer\u53d1\u73b0\u4e86\u8424\u706b\u866b\u7684\u96c6\u4f53\u95ea\u70c1\u73b0\u8c61\u3002\u51e0\u5e74\u540e\u8377\u5170\u7269\u7406\u5b66\u5bb6Huygens\u89c2\u5bdf\u5230\uff1a\u65e0\u8bba\u521d\u59cb\u6761\u4ef6\u5982\u4f55\uff0c\u540c\u4e00\u6a2a\u6881\u4e0a\u7684\u4e24\u4e2a\u949f\u6446\u603b\u662f\u4f1a\u5411\u7740\u76f8\u53cd\u7684\u65b9\u5411\u6446\u52a8\u3002\u5c3d\u7ba1\u76ee\u524d\u8be5\u9886\u57df\u5df2\u7ecf\u53d6\u5f97\u4e86\u91cd\u5927\u8fdb\u5c55\uff0c\u4f46\u540c\u6b65\u4ecd\u7136\u662f\u4e00\u4e2a\u5341\u5206\u70ed\u95e8\u7684\u7814\u7a76\u4e3b\u9898\u3002\u7279\u522b\u662f\uff0c\u8bb8\u591a\u7814\u7a76\u81f4\u529b\u4e8e\u7814\u7a76\u4e0d\u540c\u7684\u90e8\u5206\u540c\u6b65\u72b6\u6001\u3002\u90e8\u5206\u540c\u6b65\u63cf\u8ff0\u4e86\u5b8c\u5168\u540c\u6b65\u548c\u5f02\u6b65\u4e4b\u95f4\u7684\u72b6\u6001\uff0c\u5176\u4e2d\u5e76\u975e\u6240\u6709\u76f8\u4f4d\u6216\u9891\u7387\u90fd\u76f8\u7b49\u3002\u5728\u5927\u591a\u6570\u7cfb\u7edf\u4e2d\uff0c\u90e8\u5206\u540c\u6b65\u5360\u636e\u4e86\u53c2\u6570\u7a7a\u95f4\u7684\u6700\u5927\u90e8\u5206\uff0c\u56e0\u6b64\u5bf9\u90e8\u5206\u540c\u6b65\u73b0\u8c61\u7684\u7814\u7a76\u662f\u4e00\u4e2a\u91cd\u8981\u7684\u7814\u7a76\u8bfe\u9898\u3002<\/span><\/p>\n


<\/section>\n
\uff08a) M-Kuramoto \u6a21\u578b\u4e2d\u5b64\u7acb\u72b6\u6001\u7684\u53ef\u89c6\u5316\u3002(b) \u4e0d\u540c\u53c2\u6570\u4e0b\u5b64\u7acb\u72b6\u6001\u7684\u5b58\u5728\u6027\u3002<\/span><\/section>\n

<\/section>\n
Teichmann [11] \u4f7f\u7528\u8d85\u8d8a\u4e00\u9636\u8fd1\u4f3c\u7684\u76f8\u4f4d\u54cd\u5e94\u51fd\u6570\u6765\u7814\u7a76\u90e8\u5206\u540c\u6b65\u72b6\u6001\u3002\u5728\u8be5\u7814\u7a76\u4e2d\u4f5c\u8005\u7ed9\u51fa\u4e86\u4e09\u4e2a\u5b9e\u4f8b\uff1a\u9996\u5148\uff0c\u7814\u7a76\u5206\u6790\u4e86\u76f8\u4f4d\u54cd\u5e94\u66f2\u7ebf\u5728\u63cf\u8ff0\u5b8f\u89c2\u632f\u8361\u5668\u65f6\u7684\u4f5c\u7528\u3002\u5176\u6b21\uff0c\u6587\u4e2d\u8003\u8651\u4e86\u4e24\u7ec4 Kuramoto \u6a21\u578b\u3002\u6b64\u5916\uff0c\u8be5\u7814\u7a76\u8fd8\u5c06\u4e09\u4e2a Stuart-Landau \u632f\u8361\u5668\u7684\u76f8\u4f4d\u52a8\u529b\u5b66\u6269\u5c55\u5230\u4e86\u5f31\u8026\u5408\u6781\u9650\u4e4b\u5916\u3002<\/span><\/section>\n


<\/p>\n

12. \u96c6\u7fa4\u7cfb\u7edf\u4e2d\u901a\u8fc7\u8fed\u4ee3\u5220\u9664\u8fde\u8fb9\u8fdb\u884c\u7f51\u7edc\u793e\u56e2\u68c0\u6d4b<\/span><\/strong><\/span><\/h3>\n
\n
\n
\n

\u8bba\u6587\u9898\u76ee\uff1aNetwork community detection via iterative edge removal in a flocking-like system<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/doi.org\/10.1140\/epjs\/s11734-021-00154-5<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


<\/section>\n

\u793e\u56e2\u7ed3\u6784\u5e38\u89c1\u4e8e\u8bb8\u591a\u771f\u5b9e\u7f51\u7edc\u4e2d\uff0c\u4f8b\u5982\u793e\u4ea4\u7f51\u7edc\u3001\u4eba\u5458\u6d41\u52a8\u7f51\u7edc\u3001\u4f01\u4e1a\u653f\u6cbb\u548c\u7ecf\u6d4e\u9886\u57df\u7684\u7cbe\u82f1\u7f51\u7edc\u7b49\u7b49\u3002\u5f62\u5f0f\u4e0a\uff0c\u793e\u56e2\u662f\u5bc6\u96c6\u8fde\u63a5\u7684\u9876\u70b9\u96c6\u5408\uff0c\u800c\u4e0d\u540c\u793e\u56e2\u4e4b\u95f4\u7684\u8fde\u63a5\u662f\u7a00\u758f\u7684\u3002\u793e\u56e2\u68c0\u6d4b<\/span>\uff08community detection\uff09<\/span>\u95ee\u9898\u4e0e\u56fe\u8bba\u4e2d\u7684\u56fe\u5212\u5206\u95ee\u9898\u6709\u5173\u3002\u5728\u5927\u591a\u6570\u60c5\u51b5\u4e0b\uff0c\u627e\u5230\u6700\u4f73\u5212\u5206\u65b9\u5f0f\u662f\u4e00\u4e2a NP-hard \u95ee\u9898\uff0c\u4e8e\u662f\u6fc0\u53d1\u4e86\u5927\u91cf\u5728\u53ef\u884c\u65f6\u95f4\u5185\u627e\u51fa\u6b21\u4f18\u89e3\u51b3\u65b9\u6848\u7684\u76f8\u5173\u7814\u7a76\u3002<\/span><\/p>\n

               <\/span><\/p>\n

<\/span><\/section>\n
\u793e\u56e2\u68c0\u6d4b\u6548\u679c\u3002\u989c\u8272\u8868\u793a\u4e86\u8282\u70b9\u6240\u5c5e\u7684\u771f\u5b9e\u793e\u56e2\uff0ca\u3001b\u4e3a\u5bf9\u6bd4\u65b9\u6cd5\u4e0b\u5f97\u5230\u7684\u7ed3\u679c\uff0cc\u56fe\u4e3a\u672c\u6587\u65b9\u6cd5\u5f97\u5230\u7684\u5212\u5206\u7ed3\u679c\u3002\u5bb9\u6613\u770b\u51fa\uff0c\u672c\u6587\u63d0\u51fa\u7684\u7b97\u6cd5\u6548\u679c\u66f4\u4f73\u3002<\/span><\/section>\n


<\/p>\n

Verri\u7b49\u4eba[12]\u63d0\u51fa\u4e86\u4e00\u79cd\u7f51\u7edc\u793e\u56e2\u68c0\u6d4b\u65b9\u6cd5\uff0c\u8be5\u65b9\u6cd5\u57fa\u4e8e\u53d7\u81ea\u7136\u542f\u53d1\u7684\u96c6\u7fa4\u7cfb\u7edf\u4e2d\u51fa\u73b0\u7684\u5c5e\u6027\u3002\u6240\u63d0\u51fa\u7684\u7b97\u6cd5\u5305\u542b\u4e24\u4e2a\u4ea4\u66ff\u8fd0\u884c\u7684\u8fc7\u7a0b\uff1a\u9996\u5148\u5728\u9ad8\u7ef4\u7a7a\u95f4\u4e2d\u63a7\u5236\u7c92\u5b50\u5bf9\u5bf9\u9f50\uff0c\u5176\u6b21\u4e3a\u8fde\u8fb9\u53bb\u9664\u7684\u8fed\u4ee3\u8fc7\u7a0b\u3002<\/span><\/p>\n


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13. \u65f6\u95f4\u5ef6\u8fdf\u548c\u76f8\u4f4d\u6ede\u540e\u5bf9\u79fb\u52a8\u4e3b\u4f53\u5bf9\u79f0\u5706\u5f62\u5f62\u6210\u7684\u5f71\u54cd<\/span><\/strong><\/span><\/h3>\n
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\u8bba\u6587\u9898\u76ee\uff1aThe effects of time-delay and phase lags on symmetric circular formations of mobile agents<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/doi.org\/10.1140\/epjs\/s11734-021-00153-6<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u63a7\u5236\u79fb\u52a8\u673a\u5668\u4eba\u96c6\u7fa4\u5728\u519c\u4e1a\u3001\u6570\u636e\u6536\u96c6\u7b49\u591a\u4e2a\u9886\u57df\u4e2d\u90fd\u6709\u5e94\u7528\u3002\u5176\u4e2d\uff0c\u63a7\u5236\u673a\u5668\u4eba\u5728\u5706\u5f62\u533a\u57df\u4e0a\u884c\u8d70\u88ab\u5e94\u7528\u4e8e\u65e0\u4eba\u673a\u961f\u5217\u7b49\u7cfb\u7edf\u4e2d\u3002\u5728\u8be5\u4efb\u52a1\u4e2d\uff0c\u7cfb\u7edf\u4e2d\u7684\u4e2a\u4f53\u9700\u8981\u5728\u4e0d\u540c\u7a7a\u95f4\u6267\u884c\u6570\u636e\u6536\u96c6\u3001\u5de1\u903b\u7b49\u5de5\u4f5c\u3002<\/span><\/p>\n

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\u5728\u5177\u6709\u5168\u5bf9\u5168\u4ea4\u4e92\u7684\u4e00\u9636\u79fb\u52a8\u673a\u5668\u4eba\u6a21\u578b\u4e2d\uff0cFreitas\u7b49\u4eba[13]\u7814\u7a76\u4e86\u65f6\u95f4\u5ef6\u8fdf\u548c\u76f8\u4f4d\u6ede\u540e\u5bf9\u5177\u6709\u5bf9\u79f0\u7c07\u7684\u5706\u5f62\u5f62\u6210\u7684\u5f71\u54cd\u3002\u5f53\u4fe1\u606f\u4ea4\u6362\u65f6\u95f4\u5ef6\u8fdf\u8d85\u8fc7\u67d0\u4e2a\u4e34\u754c\u503c\u65f6\uff0c\u7cfb\u7edf\u4f1a\u51fa\u73b0\u4e0d\u8fde\u7eed\u6216\u66ff\u4ee3\u5bf9\u79f0\u6392\u5217\u3002<\/span><\/p>\n


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14. \u4f7f\u7528\u5355\u4e2a\u65f6\u6ede\u5fae\u5206\u65b9\u7a0b\u6a21\u62df\u590d\u6742\u7f51\u7edc<\/span><\/strong><\/h3>\n
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\u8bba\u6587\u9898\u76ee\uff1aEmulating complex networks with a single delay differential equation<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/doi.org\/10.1140\/epjs\/s11734-021-00162-5<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u5177\u6709\u65f6\u95f4\u5ef6\u8fdf\u7684\u7cfb\u7edf\uff0c\u6216\u65f6\u6ede\u5fae\u5206\u65b9\u7a0b<\/span>\uff08delay differential equations, DDE\uff09<\/span>\uff0c\u5728\u6a21\u62df\u5404\u79cd\u81ea\u7136\u73b0\u8c61\u548c\u6280\u672f\u8fc7\u7a0b\u4e2d\u53d1\u6325\u7740\u91cd\u8981\u7684\u4f5c\u7528\u3002\u5982\uff0c\u5728\u5149\u7535\u5b50\u5b66\u4e2d\uff0c \u7531\u4e8e\u5143\u4ef6\u4e4b\u95f4\u7684\u5149\u6216\u7535\u4fe1\u53f7\u6709\u4e00\u5b9a\u7684\u4f20\u64ad\u65f6\u95f4\uff0c\u4f1a\u51fa\u73b0\u5ef6\u8fdf\u3002\u5728\u795e\u7ecf\u79d1\u5b66\u4e2d\uff0c\u52a8\u4f5c\u7535\u4f4d\u7684\u4f20\u64ad\u5ef6\u8fdf\u5728\u5927\u8111\u4fe1\u606f\u5904\u7406\u4e2d\u4e5f\u81f3\u5173\u91cd\u8981\u3002<\/span><\/p>\n

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\u901a\u8fc7\u65f6\u6ede\u7cfb\u7edf\u5b9e\u73b0\u591a\u5c42\u795e\u7ecf\u7f51\u7edc<\/span><\/p>\n


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\u673a\u5668\u5b66\u4e60\u662f\u65f6\u6ede\u7cfb\u7edf\u7684\u53e6\u4e00\u4e2a\u5feb\u901f\u53d1\u5c55\u7684\u5e94\u7528\u9886\u57df\u3002Stelzer \u548c Yanchuk [14] \u5c55\u793a\u4e86\u5177\u6709\u65f6\u6ede\u53cd\u9988\u7684\u5355\u4e2a\u52a8\u6001\u7cfb\u7edf\u5982\u4f55\u6a21\u62df\u795e\u7ecf\u7f51\u7edc\u3002\u65f6\u6ede\u7cfb\u7edf\u7684\u8fd9\u79cd\u7279\u6027\u4f7f\u5b83\u4eec\u6210\u4e3a\u673a\u5668\u5b66\u4e60\u5e94\u7528\u4e2d\u975e\u5e38\u6709\u7528\u7684\u5de5\u5177\u3002\u8be5\u7814\u7a76\u63cf\u8ff0\u4e86\u51e0\u79cd\u4f7f\u7528\u65f6\u6ede\u7cfb\u7edf\u6a21\u62df\u6df1\u5ea6\u524d\u9988\u795e\u7ecf\u7f51\u7edc\u4ee5\u53ca\u5faa\u73af\u795e\u7ecf\u7f51\u7edc\u7684\u53ef\u884c\u65b9\u6cd5\u3002<\/span><\/p>\n


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15. \u53cc\u5c42\u9009\u6c11\u6a21\u578b\uff1a\u5728\u89c2\u70b9\u52a8\u529b\u5b66\u4e2d\u5efa\u6a21\u5bb9\u5fcd\u5ea6<\/span><\/strong><\/h3>\n
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\u8bba\u6587\u9898\u76ee\uff1aBi-layer voter model: Modeling intolerant\/tolerant positions and bots in opinion dynamics<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/doi.org\/10.1140\/epjs\/s11734-021-00151-8<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u9009\u6c11\u6a21\u578b<\/span>\uff08voter model\uff09<\/span>\u63cf\u8ff0\u4e86\u5728\u53ef\u4ee5\u6301\u6709\u4e24\u79cd\u4e0d\u540c\u610f\u89c1<\/span>\uff08A \u548c B\uff09<\/span>\u4e4b\u4e00\u7684\u9009\u6c11\u7fa4\u4f53\u4e2d\uff0c\u89c2\u70b9\u53d8\u5316\u548c\u5171\u8bc6\u5f62\u6210\u7684\u7b80\u5355\u8fc7\u7a0b\u3002\u5728\u6f14\u5316\u7684\u4e00\u4e2a\u6b65\u9aa4\u4e2d\uff0c\u968f\u673a\u9009\u62e9\u7684\u9009\u6c11\u91c7\u7528\u968f\u673a\u90bb\u5c45\u7684\u89c2\u70b9\u3002\u91cd\u590d\u6b64\u6b65\u9aa4\uff0c\u76f4\u5230\u9009\u6c11\u7fa4\u4f53\u6700\u7ec8\u5728\u4e00\u4e2a\u6709\u9650\u7cfb\u7edf\u4e2d\u8fbe\u6210\u5171\u8bc6\u3002\u5728\u8be5\u7cfb\u7edf\u4e2d\uff0c\u6240\u6709\u4e2a\u4f53\u90fd\u62e5\u6709\u76f8\u540c\u7684\u89c2\u70b9\u3002\u7531\u4e8e\u5176\u7b80\u5355\u6027\u548c\u5206\u6790\u6613\u5904\u7406\u6027\uff0c\u9009\u6c11\u6a21\u578b\u5df2\u6210\u4e3a\u7814\u7a76\u89c2\u70b9\u6269\u6563\u7684\u57fa\u672c\u6027\u8d28\u548c\u9009\u4e3e\u52a8\u529b\u5b66\u7684\u8303\u5f0f\u6a21\u578b\u3002<\/span><\/p>\n

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\u53cc\u5c42\u9009\u6c11\u6a21\u578b\u793a\u610f\u56fe\u3002\u7b2c 1 \u5c42\u8868\u793a\u4e2a\u4f53\u7684\u5bb9\u5fcd\u6c34\u5e73\uff08+ \u548c -\uff09\u4e4b\u95f4\u7684\u4ea4\u4e92\uff0c\u7b2c 2 \u5c42\u8868\u793a\u4e2a\u4f53\u610f\u89c1\uff08A \u548c B\uff09\u4e4b\u95f4\u7684\u4ea4\u4e92\u3002<\/span><\/section>\n


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Vega-Oliveros\u7b49\u4eba[15] \u63d0\u51fa\u4e86\u4e00\u4e2a\u53cc\u5c42\u9009\u6c11\u6a21\u578b\uff0c\u8be5\u6a21\u578b\u80fd\u7814\u7a76\u89c2\u70b9\u52a8\u529b\u5b66\u4e0e\u4e2a\u4eba\u63a5\u53d7\u4ed6\u4eba\u610f\u89c1\u7684\u5bb9\u5fcd\u5ea6\u4e4b\u95f4\u7684\u76f8\u4e92\u4f5c\u7528\uff0c\u5e76\u5728\u51b3\u7b56\u8fc7\u7a0b\u4e2d\u8003\u8651\u4e86\u673a\u5668\u4eba\u548c\u6fc0\u8fdb\u6216\u4e0d\u5bbd\u5bb9\u7684\u4e2a\u4eba\u3002\u7cfb\u7edf\u7684\u52a8\u529b\u5b66\u53d1\u751f\u5728\u7531\u4ea4\u4e92\u4e3b\u4f53\u7ec4\u6210\u53cc\u5c42\u7f51\u7edc\u4e2d\uff1a\u4e00\u5c42\u7528\u4e8e\u89c2\u70b9\u52a8\u529b\u5b66\uff0c\u4e2a\u4f53\u5728\u4e24\u79cd\u53ef\u884c\u65b9\u6cd5\u4e2d\u8fdb\u884c\u9009\u62e9\uff1b\u53e6\u4e00\u5c42\u7528\u4e8e\u5bb9\u5fcd\u52a8\u529b\u5b66\uff0c\u4e3b\u4f53\u91c7\u7528\u4e24\u4e2a\u5bb9\u5fcd\u7ea7\u522b\u4e2d\u7684\u4e00\u4e2a\u3002<\/span><\/p>\n


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16. \u5bf9\u5927\u8111\u8fdb\u884c\u5efa\u6a21\uff1a\u4ece\u5177\u8c61\u8fde\u63a5\u6620\u5c04\u5230\u7f51\u7edc\u7ec4\u7ec7<\/span><\/strong><\/h3>\n
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\u8bba\u6587\u9898\u76ee\uff1aBuilding a model of the brain: from detailed connectivity maps to network organization<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/doi.org\/10.1140\/epjs\/s11734-021-00152-7<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u4f5c\u4e3a\u5df2\u77e5\u7684\u6700\u590d\u6742\u7684\u7cfb\u7edf\u4e4b\u4e00\uff0c\u4eba\u8111\u4e2d\u6709\u7740\u7ea6800\u4ebf\u4e2a\u795e\u7ecf\u5143\u548c\u6570\u5341\u4e07\u4ebf\u4e2a\u7a81\u89e6\u3002\u8fd9\u79cd\u590d\u6742\u6027\u90e8\u5206\u4f53\u73b0\u5728\u8111\u7ec6\u80de\u4e4b\u95f4\u590d\u6742\u7684\u8fde\u63a5\u6a21\u5f0f\u3002\u76ee\u524d\u6709\u7814\u7a76\u53d1\u73b0\uff0c\u4f5c\u4e3a\u4e00\u4e2a\u590d\u6742\u7cfb\u7edf\uff0c\u5927\u8111\u7684\u5b8c\u6574\u529f\u80fd\u8981\u8fdc\u8d85\u5404\u4e2a\u90e8\u5206\u80fd\u529b\u7684\u603b\u548c\u3002\u56e0\u6b64\uff0c\u5bf9\u5927\u8111\u4e2d\u7684\u5355\u4e2a\u79bb\u5b50\u901a\u9053\u3001\u795e\u7ecf\u5143\u6216\u795e\u7ecf\u73af\u8def\u8fdb\u884c\u5efa\u6a21\uff0c\u4e0d\u8db3\u4ee5\u89e3\u91ca\u610f\u8bc6\u4e0e\u8ba4\u8bc6\u7b49\u590d\u6742\u529f\u80fd\u7684\u6d8c\u73b0\u7279\u6027\u3002\u57fa\u4e8e\u4ee5\u4e0a\u539f\u56e0\uff0c\u5728\u4e00\u5b9a\u7684\u5408\u7406\u6027\u4e0b\u5bf9\u5927\u8111\u8fde\u63a5\u8fdb\u884c\u5efa\u6a21\u6210\u4e3a\u8bd5\u56fe\u63ed\u79d8\u5927\u8111\u5de5\u4f5c\u539f\u7406\u7684\u91cd\u8981\u73af\u8282\u3002<\/span><\/p>\n

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\u4ece\u7ed3\u6784\u6570\u636e\u5230\u8111\u8fde\u63a5\u7f51\u7edc\u3002\u56fea\u4e3a\u4eba\u8111\u76ae\u5c42\u793a\u610f\u56fe\uff0c\u653e\u5927\u90e8\u5206\u4e3a\u76ae\u5c42\u5207\u7247\uff0c\u9ed1\u8272\u65b9\u6846\u8868\u793a\u76ae\u8d28\u5fae\u7535\u8def\u3002\u56feb\u4e3a\u7ed3\u6784\u8fde\u901a\u6027\u77e9\u9635\u3002\u56fec\u4e3a\u56feb\u4e2d\u77e9\u9635\u7684\u7f51\u7edc\u5316\u8868\u793a\u3002<\/span><\/section>\n


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Shimoura\u7b49\u4eba[16]\u7b80\u660e\u5730\u4ecb\u7ecd\u4e86\u591a\u79cd\u4ece\u5b9e\u9a8c\u8bb0\u5f55\u51fa\u53d1\u6765\u6784\u5efa\u8111\u8fde\u63a5\u7f51\u7edc\u7684\u6a21\u578b\u3002\u5177\u4f53\u6765\u770b\uff0c\u6587\u7ae0\u9996\u5148\u4ecb\u7ecd\u4e86\u4ece\u5b9e\u9a8c\u6570\u636e\u4e2d\u8bb0\u5f55\u7ed3\u6784\u6570\u636e\u7684\u65b9\u6cd5\u3002\u968f\u540e\uff0c\u5728\u5bf9\u57fa\u672c\u7684\u795e\u7ecf\u5143\u6a21\u578b\u8fdb\u884c\u8ba8\u8bba\u540e\uff0c\u6587\u7ae0\u4ecb\u7ecd\u4e86\u4ece\u7ed3\u6784\u6570\u636e\u83b7\u5f97\u8fde\u63a5\u7f51\u7edc\u7684\u65b9\u6cd5\u3002\u6b64\u5916\uff0c\u6587\u7ae0\u5c06\u5176\u4ecb\u7ecd\u7684\u6570\u636e\u9a71\u52a8\u6a21\u578b\u5e94\u7528\u5728\u4e86\u4e0d\u540c\u5927\u8111\u533a\u57df<\/span>\uff08\u5982\u5927\u8111\u76ae\u5c42\u3001\u6d77\u9a6c\u4f53\uff09<\/span>\uff0c\u4e14\u5bf9\u6bcf\u79cd\u6a21\u578b\u7684\u4f18\u52bf\u8fdb\u884c\u4e86\u5206\u6790\u3002<\/span><\/p>\n


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17. \u968f\u673a\u9499\u79bb\u5b50\u6fc0\u589e\u6a21\u578b\u2014\u2014\u5efa\u7acb\u8fc7\u7a0b\u4e0e\u4ece\u795e\u7ecf\u5143\u53d1\u653e\u6a21\u578b\u4e2d\u5f97\u5230\u7684\u7075\u611f<\/span><\/strong><\/span><\/h3>\n
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\u8bba\u6587\u9898\u76ee\uff1aModels of stochastic \ud835\udc36\ud835\udc4e2+ spiking\u2014established approaches and inspirations from models of neuronal spikes<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/doi.org\/10.1140\/epjs\/s11734-021-00174-1<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u5728\u7406\u8bba\u751f\u7269\u5b66\u4e2d\uff0c\u7cfb\u7edf\u5efa\u6a21\u5fc5\u987b\u5728\u6a21\u578b\u523b\u753b\u7684\u7cbe\u7ec6\u7a0b\u5ea6\u3001\u6a21\u578b\u590d\u6742\u5ea6\u548c\u5efa\u6a21\u76ee\u7684\u4e4b\u95f4\u8fbe\u5230\u5e73\u8861\u3002\u7531\u4e8e\u8be5\u9886\u57df\u7684\u5efa\u6a21\u7f3a\u4e4f\u660e\u786e\u7684\u7b2c\u4e00\u6027\u539f\u7406<\/span>\uff08first principle\uff09<\/span>\uff0c\u56e0\u6b64\uff0c\u4ece\u5efa\u6a21\u5bf9\u8c61\u5bf9\u5e94\u7684\u6570\u5b66\u7ed3\u6784\u51fa\u53d1\u6765\u8bbe\u8ba1\u6a21\u578b\u65b9\u7a0b\u5341\u5206\u91cd\u8981\u3002\u5426\u5219\uff0c\u5f97\u5230\u7684\u6a21\u578b\u53ef\u80fd\u7f3a\u4e4f\u53ef\u63a8\u5e7f\u6027\u3002\u76ee\u524d\u53ea\u6709\u5c11\u6570\u7ec6\u80de\u52a8\u529b\u7cfb\u7edf\u80fd\u591f\u88ab\u8868\u5f81\u5230\u8db3\u4ee5\u8bc6\u522b\u5bf9\u5e94\u6570\u5b66\u7ed3\u6784\u7684\u7a0b\u5ea6\uff0c\u80de\u5185\u9499\u79bb\u5b50\u52a8\u529b\u5b66\u4fbf\u662f\u5176\u4e2d\u4e4b\u4e00\u3002<\/span><\/p>\n

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IP3\u8bf1\u5bfc\u7684\u9499\u79bb\u5b50\u4fe1\u53f7\u7684\u5c42\u7ea7\u7ed3\u6784\u4e0e\u5bf9\u5e94\u7ed3\u6784\u79bb\u5b50\u6d53\u5ea6\u4fe1\u53f7<\/span><\/p>\n


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Friedhoff\u7b49\u4eba[17]\u5bf9\u80de\u5185\u9499\u79bb\u5b50\u6fc0\u589e\u6a21\u578b\u8fdb\u884c\u4e86\u5168\u9762\u56de\u987e\u3002\u80de\u5185\u9499\u79bb\u5b50\u6fc0\u589e\u5e7f\u6cdb\u5b58\u5728\u4e8e\u591a\u79cd\u7c7b\u578b\u7684\u7ec6\u80de\u4e4b\u4e2d\uff0c\u901a\u8fc7\u5bf9\u5b9e\u9a8c\u7ed3\u679c\u8fdb\u884c\u8be6\u7ec6\u7684\u5206\u6790\uff0c\u4f5c\u8005\u8bf4\u660e\u4e86\u8be5\u73b0\u8c61\u672c\u8d28\u4e0a\u662f\u968f\u673a\u7684\u3002\u968f\u540e\uff0c\u4f5c\u8005\u56de\u987e\u4e86\u7528\u4e8e\u89e3\u91ca\u5cf0\u503c\u95f4\u9694\u7edf\u8ba1\u6570\u636e\u7684\u968f\u673a\u6a21\u578b\u7684\u6700\u65b0\u8fdb\u5c55\uff0c\u5e76\u8ba8\u8bba\u4e86\u5b83\u4eec\u7684\u7f3a\u70b9\u3002\u6700\u540e\uff0c\u7531\u4e8e\u7ec6\u80de\u5185\u9499\u79bb\u5b50\u6fc0\u589e\u6a21\u578b\u4e0e\u795e\u7ecf\u52a8\u4f5c\u7535\u4f4d\u5e8f\u5217\u6709\u76f8\u4f3c\u7684\u7edf\u8ba1\u7279\u5f81\uff0c\u4ed6\u4eec\u8fd8\u5bf9\u7ec6\u80de\u5185\u9499\u7c92\u5b50\u6fc0\u589e\u548c\u795e\u7ecf\u5143\u653e\u7535\u8fdb\u884c\u4e86\u5bf9\u6bd4\uff0c\u5e76\u63d0\u51fa\u4e86\u4e00\u4e9b\u5173\u4e8e\u5982\u4f55\u5c06\u7528\u4e8e\u63cf\u8ff0\u540e\u8005\u7684\u968f\u673a\u6027\u65b9\u6cd5\u8f6c\u79fb\u5230\u524d\u8005\u7684\u5efa\u8bae\u3002<\/span><\/p>\n


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18. \u795e\u7ecf\u7f51\u7edc\u4e0e\u51b3\u7b56\u95ee\u9898\u4e0a\u7684 Fokker-Planck \u65b9\u6cd5<\/span><\/strong><\/span><\/h3>\n
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\u8bba\u6587\u9898\u76ee\uff1aFokker-Planck approach to neural networks and to decision problems<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/doi.org\/10.1140\/epjs\/s11734-021-00172-3<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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Fokker-Planck\u65b9\u7a0b\u5728\u7edf\u8ba1\u7269\u7406\u5b66\u4e2d\u6709\u7740\u60a0\u4e45\u7684\u5386\u53f2\uff0c\u662f\u968f\u673a\u8fc7\u7a0b\u7406\u8bba\u4e2d\u7684\u57fa\u672c\u8981\u7d20\u3002\u5728\u8fc7\u53bb\u51e0\u5341\u5e74\u91cc\uff0c\u5b83\u4e5f\u5728\u8ba1\u7b97\u548c\u8ba4\u77e5\u795e\u7ecf\u79d1\u5b66\u4e2d\u5f97\u5230\u4e86\u5e94\u7528\u3002\u5728\u8fd9\u4e9b\u9886\u57df\u4e2d\uff0c\u5f15\u53d1\u7cfb\u7edf<\/span>\uff08\u795e\u7ecf\u5143\u3001\u795e\u7ecf\u7f51\u7edc\u6216\u51b3\u7b56\u8fc7\u7a0b\uff09<\/span>\u975e\u7ebf\u6027\u52a8\u529b\u5b66\u7684\u4e0d\u540c\u7c7b\u578b\u51fd\u6570\u53ef\u4ee5\u7528\u9ad8\u65af\u566a\u58f0<\/span>\uff08Gaussian noise\uff0c\u4e00\u79cd\u5177\u6709\u6b63\u6001\u5206\u5e03\u6982\u7387\u5bc6\u5ea6\u51fd\u6570\u7684\u566a\u58f0\uff09<\/span>\u6765\u63cf\u8ff0\u3002<\/span><\/p>\n

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Vellmer\u548cLindner[18]\u56de\u987e\u4e86\u57fa\u4e8eFokker-Planck\u65b9\u7a0b\u6765\u6a21\u62df\u6574\u5408\u53d1\u653e<\/span>\uff08integrate-and-fire, IF\uff09<\/span>\u653e\u7535\u795e\u7ecf\u5143\u7f51\u7edc\u7684\u968f\u673a\u65b9\u6cd5\u3002\u5927\u591a\u6570IF\u795e\u7ecf\u5143\u968f\u673a\u7f51\u7edc\u90fd\u5047\u8bbe\u8f93\u5165\u4fe1\u53f7\u4e3a\u767d\u566a\u58f0\uff0c\u800c\u672c\u7814\u7a76\u63d0\u51fa\u7684\u6846\u67b6\u5219\u5141\u8bb8\u5c06\u8f93\u5165\u4fe1\u53f7\u6269\u5c55\u5230\u6709\u8272\u566a\u58f0<\/span>\uff08coloured noise\uff0c\u529f\u7387\u8c31\u5bc6\u5ea6\u51fd\u6570\u4e0d\u5e73\u5766\u7684\u566a\u58f0\uff09<\/span>\u4e0a\u3002\u4f5c\u8005\u8fd8\u56de\u987e\u4e86Fokker-Planck\u65b9\u6cd5\u5728\u8ba4\u77e5\u795e\u7ecf\u79d1\u5b66\u4e2d\u4e8c\u5143\u51b3\u7b56\u5e8f\u5217\u5efa\u6a21\u4e0a\u7684\u5e94\u7528\uff0c\u5e76\u4ecb\u7ecd\u4e86\u4e00\u79cd\u65b0\u7684\u4e8c\u7ef4\u968f\u673a\u51b3\u7b56\u6a21\u578b\u3002<\/span><\/p>\n


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19. \u8d85\u6781\u5316\u6fc0\u53d1\u9633\u79bb\u5b50\u7535\u6d41\u5bf9\u795e\u7ecf\u5143\u819c\u65f6\u95f4\u5e38\u6570\u548c\u7a81\u89e6\u7535\u4f4d\u6301\u7eed\u65f6\u95f4\u7684\u5f71\u54cd<\/span><\/strong><\/span><\/h3>\n
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\u8bba\u6587\u9898\u76ee\uff1aImpact of the activation rate of the hyperpolarization-activated current Ih on the neuronal membrane time constant and synaptic potential duration<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/doi.org\/10.1140\/epjs\/s11734-021-00176-z<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u8d85\u6781\u5316\u6fc0\u53d1\u73af\u6838\u82f7\u9178\u95e8\u63a7\u901a\u9053\u662f\u4e00\u79cd\u975e\u9009\u62e9\u6027\u9633\u79bb\u5b50\u901a\u9053\uff0c\u5b83\u662f\u8d85\u6781\u5316\u6fc0\u53d1\u9633\u79bb\u5b50\u7535\u6d41\u4ea7\u751f\u7684\u57fa\u7840\u3002\u8be5\u7c7b\u901a\u9053\u662f\u76ae\u8d28\u4e0e\u6d77\u9a6c\u4f53\u795e\u7ecf\u5143\u8fdc\u5904\u7a81\u89e6\u6574\u5408\u8fc7\u7a0b\u7684\u4e3b\u8981\u63a7\u5236\u8005\u3002Ceballos\u7b49\u4eba[19]\u7814\u7a76\u8d85\u6781\u5316\u6fc0\u53d1\u9633\u79bb\u5b50\u7535\u6d41Ih<\/sub>\u7684\u65f6\u95f4\u5e38\u6570\u5982\u4f55\u5f71\u54cd\u52a8\u6001\u795e\u7ecf\u5143\u819c\u7535\u4f4d\u54cd\u5e94\uff0c\u5c24\u5176\u662f\u5174\u594b\u6027\u7a81\u89e6\u540e\u7535\u4f4d<\/span>\uff08EPSPs\uff09<\/span>\u968f\u65f6\u95f4\u7684\u53d8\u5316\u3002<\/span><\/p>\n

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\u8d85\u6781\u5316\u6fc0\u53d1\u9633\u79bb\u5b50\u7535\u6d41\u7684\u7535\u538b\u76f8\u5173\u7279\u6027<\/span><\/p>\n


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\u8fd9\u662f\u795e\u7ecf\u79d1\u5b66\u4e2d\u7684\u4e00\u4e2a\u91cd\u8981\u8bfe\u9898\uff0c\u56e0\u4e3a\u795e\u7ecf\u5143\u5177\u6709\u591a\u79cd\u52a8\u529b\u5b66\u7279\u5f81\uff0c\u800c\u7a81\u89e6\u7535\u4f4d\u968f\u65f6\u95f4\u7684\u53d8\u5316\u662f\u7a81\u89e6\u6574\u5408\u7684\u5173\u952e\u51b3\u5b9a\u56e0\u7d20\u3002\u4f5c\u8005\u5bf9\u6d77\u9a6c\u9525\u4f53\u795e\u7ecf\u5143\u7684\u970d\u5947\u91d1-\u8d6b\u80e5\u9ece\u578b<\/span>\uff08Hodgkin-Huxley-type\uff09<\/span>\u6a21\u578b\u8fdb\u884c\u4e86\u7814\u7a76\uff0c\u8be5\u6a21\u578b\u5177\u6709\u5feb\u548c\u6162\u4e24\u79cd\u52a8\u529b\u5b66\u7684I<\/span>h<\/sub>\u7535\u5bfc\uff0c\u5e76\u63cf\u8ff0\u4e86\u4e0d\u540c\u52a8\u529b\u5b66\u4e0b\u76f8\u540c\u7535\u6d41\u5bf9EPSPs\u7684\u632f\u5e45\u548c\u6301\u7eed\u65f6\u95f4\u7684\u4e0d\u540c\u5f71\u54cd\u3002<\/span><\/p>\n


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20. \u57fa\u4e8e\u4f53\u5916\u7535\u538b\u4f9d\u8d56\u6027\u53d1\u653e\u6982\u7387\u51fd\u6570\u7684\u968f\u673a\u795e\u7ecf\u5143\u5efa\u6a21\u4e0e\u8868\u5f81<\/span><\/strong><\/span><\/h3>\n
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\u8bba\u6587\u9898\u76ee\uff1aModeling and characterizing stochastic neurons based on in vitro voltage-dependent spike probability functions<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/doi.org\/10.1140\/epjs\/s11734-021-00160-7<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u7531\u4e8e\u5927\u8111\u89c4\u6a21\u4e0e\u8de8\u8111\u533a\u795e\u7ecf\u5143\u8fde\u63a5\u7684\u590d\u6742\u6a21\u5f0f\u7b49\u539f\u56e0\uff0c\u795e\u7ecf\u7cfb\u7edf\u5efa\u6a21\u5341\u5206\u5177\u6709\u6311\u6218\u6027\u3002\u6b64\u5916\uff0c\u8111\u7ed3\u6784\u7684\u590d\u6742\u6027\u5bfc\u81f4\u5176\u5bf9\u5185\u90e8\u4e0e\u5916\u90e8\u566a\u58f0\u90fd\u5177\u6709\u6781\u9ad8\u7684\u654f\u611f\u6027\u3002\u56e0\u6b64\uff0c\u5bf9\u795e\u7ecf\u5143\u8fdb\u884c\u5efa\u6a21\u65f6\uff0c\u6765\u81ea\u4e8e\u7cfb\u7edf\u5185\u90e8\u4e0e\u5916\u90e8\u7684\u968f\u673a\u6027\u9700\u8981\u88ab\u7740\u91cd\u8003\u8651\u3002<\/span><\/p>\n

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\u4e0d\u540c\u566a\u58f0\u6c34\u5e73\u4e0b\uff0c\u968f\u673a\u795e\u7ecf\u5143\u6a21\u578b\u5728\u63a5\u6536\u6052\u5b9a\u76f4\u6d41\u7535\u6d41\u65f6\u7684\u53ef\u9760\u6027<\/span><\/p>\n


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Cordeiro \u7b49\u4eba[20]\u63d0\u51fa\u4e86\u4e00\u79cd\u5c06\u5185\u5728\u566a\u58f0\u7eb3\u5165\u795e\u7ecf\u5143\u653e\u7535\u6a21\u578b\u7684\u7b80\u5355\u65b9\u6cd5\u3002\u4ed6\u4eec\u8003\u8651\u4e86\u4e00\u4e2a\u89e6\u53d1-\u91cd\u7f6e\u795e\u7ecf\u5143\u6a21\u578b<\/span>\uff08fire-and-reset neuron model\uff09<\/span>\uff0c\u5982\u540c\u5177\u6709\u7535\u538b\u4f9d\u8d56\u653e\u7535\u6982\u7387\u51fd\u6570\u7684\u6574\u5408\u53d1\u653e\u795e\u7ecf\u5143\u3002\u9996\u5148\uff0c\u4f5c\u8005\u5c55\u793a\u4e86\u5982\u4f55\u4ece\u5b9e\u9a8c\u819c\u7535\u4f4d\u65f6\u95f4\u5e8f\u5217\u4e2d\u9009\u62e9\u6982\u7387\u51fd\u6570\u7684\u53c2\u6570\u3002\u968f\u540e\uff0c\u4ed6\u4eec\u8bc4\u4f30\u4e86\u795e\u7ecf\u5143\u5bf9\u9759\u6001\u6216\u968f\u673a\u7684\u51b7\u51bb\u523a\u6fc0\u53cd\u5e94\u7684\u53ef\u9760\u6027\uff0c\u5e76\u5bf9\u7167\u968f\u673a\u5171\u632f\u6d4b\u8bd5\u4e86\u8be5\u6a21\u578b\u3002\u6700\u540e\uff0c\u4ed6\u4eec\u901a\u8fc7\u76f8\u56fe\u63cf\u8ff0\u4e86\u968f\u673a\u795e\u7ecf\u5143\u7684\u968f\u673a\u7f51\u7edc\u5728\u4e0d\u540c\u968f\u673a\u7a0b\u5ea6\u4e0b\u7684\u884c\u4e3a\u3002<\/span><\/p>\n


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\u5730\u7403\u79d1\u5b66\u4e2d\u7684\u5e94\u7528<\/strong><\/strong><\/p>\n<\/section>\n

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21. \u65f6\u95f4\u5e8f\u5217\u8ddd\u79bb\u51fd\u6570\u5bf9\u529f\u80fd\u6027\u6c14\u5019\u7f51\u7edc\u6784\u5efa\u7684\u5f71\u54cd<\/span><\/strong><\/span><\/h3>\n
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\u8bba\u6587\u9898\u76ee\uff1aThe effect of time series distance functions on functional climate networks<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/doi.org\/10.1140\/epjs\/s11734-021-00274-y<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u7edf\u8ba1\u6c14\u5019\u5b66\u4e3a\u7814\u7a76\u6c14\u8c61\u53d8\u91cf\u7684\u65f6\u7a7a\u52a8\u529b\u5b66\u63d0\u4f9b\u4e86\u591a\u79cd\u5de5\u5177\u3002\u4f5c\u4e3a\u8865\u5145\u66f4\u4f20\u7edf\u5206\u6790\u6280\u672f\u7684\u6700\u65b0\u65b9\u6cd5\uff0c\u5728\u8fc7\u53bb\u51e0\u5341\u5e74\u4e2d\uff0c\u590d\u6742\u7f51\u7edc\u5df2\u6210\u4e3a\u7edf\u8ba1\u5206\u6790\u548c\u6a21\u62df\u5730\u7403\u6c14\u5019\u7b49\u590d\u6742\u7cfb\u7edf\u7684\u66ff\u4ee3\u65b9\u6cd5\u3002<\/span><\/p>\n

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\u6784\u5efa\u6c14\u5019\u7f51\u7edc\u7684\u793a\u610f\u56fe<\/span><\/p>\n


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Ferreira \u7b49\u4eba[21]\u5bf9\u529f\u80fd\u6027\u6c14\u5019\u7f51\u7edc\u8fdb\u884c\u4e86\u7814\u7a76\u3002\u529f\u80fd\u6027\u6c14\u5019\u7f51\u7edc\u4e2d\u7684\u6a21\u5f0f\u5bf9\u4e8e\u6c14\u5019\u52a8\u529b\u5b66\u7684\u7814\u7a76\u5341\u5206\u91cd\u8981\uff0c\u56e0\u4e3a\u5b83\u4eec\u901a\u5e38\u63ed\u793a\u4e86\u80fd\u91cf\u7684\u957f\u8ddd\u79bb\u4f20\u8f93\u8def\u5f84\uff0c\u53ef\u7528\u4e8e\u9884\u6d4b\u6b21\u5b63\u8282<\/span>\uff08subseasonal\uff09<\/span>\u81f3\u5e74\u9645\u751a\u81f3\u5341\u5e74\u5c3a\u5ea6\u7684\u6c14\u5019\u53d8\u5316\u3002\u4f5c\u8005\u57fa\u4e8e\u5168\u7403\u6e29\u5ea6\u6570\u636e\uff0c\u7cfb\u7edf\u6027\u5730\u7814\u7a76\u4e8629\u4e2a\u65f6\u95f4\u5e8f\u5217\u8ddd\u79bb\u51fd\u6570\u5bf9\u529f\u80fd\u6027\u6c14\u5019\u7f51\u7edc\u6784\u5efa\u7684\u5f71\u54cd\u3002\u4ed6\u4eec\u89c2\u5bdf\u5230\uff0c\u8fc7\u53bb\u6587\u732e\u4e2d\u4f7f\u7528\u7684\u8ddd\u79bb\u51fd\u6570\u901a\u5e38\u4f1a\u751f\u6210\u975e\u5e38\u76f8\u4f3c\u7684\u7f51\u7edc\uff0c\u800c\u66ff\u6362\u540e\u7684\u51fd\u6570\u5219\u4f1a\u751f\u6210\u76f8\u5f53\u4e0d\u540c\u7684\u7f51\u7edc\u7ed3\u6784\uff0c\u4ece\u800c\u63ed\u793a\u4e0d\u540c\u7684\u8fdc\u7a0b\u8fde\u63a5\u3002<\/span><\/p>\n


<\/p>\n

22. \u5bf9\u5730\u78c1\u573a\u591a\u6781\u76f8\u4e92\u4f5c\u7528\u62d3\u6251\u7684\u63a8\u65ad<\/span><\/strong><\/span><\/h3>\n
\n
\n
\n

\u8bba\u6587\u9898\u76ee\uff1aInference of the topology of geomagnetic field multipole interactions<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/doi.org\/10.1140\/epjs\/s11734-021-00201-1<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


<\/section>\n

\u5730\u78c1\u573a\u7684\u4e00\u4e2a\u663e\u8457\u7279\u5f81\u662f\u5176\u5076\u6781\u5b50\u5206\u91cf\u5bf9\u975e\u5076\u6781\u5b50\u5206\u91cf\u5177\u6709\u663e\u8457\u4f18\u52bf\u3002\u4f46\u662f\uff0c\u81ea1833\u5e74\u9ad8\u65af<\/span>\uff08Carl Friedrich Gauss\uff09<\/span>\u5f00\u59cb\u5bf9\u5176\u8fdb\u884c\u76f4\u63a5\u6d4b\u91cf\u4ee5\u6765\uff0c\u5df2\u77e5\u5730\u78c1\u8f74\u5411\u5076\u6781\u5b50\u6a21\u5f0f\u7684\u5f3a\u5ea6\u5728\u4e0d\u65ad\u964d\u4f4e\u3002\u800c\u5f31\u5076\u6781\u5b50\u573a\u5bf9\u8bb8\u591a\u4e8b\u4ef6\u5177\u6709\u6f5c\u5728\u7684\u91cd\u8981\u5f71\u54cd\uff0c\u5982\u6709\u66f4\u5927\u53ef\u80fd\u6027\u51fa\u73b0\u5730\u78c1\u573a\u5bf9\u592a\u9633\u9ad8\u80fd\u7c92\u5b50\u5c4f\u853d\u8f83\u5f31\u7684\u533a\u57df<\/span>\uff08\u5982\u5357\u5927\u897f\u6d0b\u78c1\u5f02\u5e38\uff0cthe South Atlantic Magnetic Anomaly\uff09<\/span>\uff0c\u6b64\u5916\u5f31\u5076\u6781\u5b50\u573a\u7684\u51fa\u73b0\u4e5f\u53ef\u80fd\u5bfc\u81f4\u592a\u9633\u5bf9\u6c14\u5019\u7684\u5f71\u54cd\u66f4\u52a0\u663e\u8457\u3002<\/span><\/p>\n

               <\/span><\/p>\n

<\/span><\/section>\n
\u4e24\u79cd\u4e0d\u540c\u6a21\u578b\u4e0b\u5730\u78c1\u573a\u7403\u8c10\u5206\u91cf\u4e4b\u95f4\u7684\u4fe1\u606f\u6d41\u3002\u8be5\u56fe\u8868\u793a\u4ecex\u8f74\u90e8\u5206\u53d1\u9001\u7ed9y\u8f74\u90e8\u5206\u7684\u4fe1\u606f\u6d41<\/span><\/section>\n


<\/p>\n

Raphaldini\u7b49\u4eba[22]\u5bf9\u5730\u78c1\u5076\u6781\u5b50\u573a\u7684\u6ce2\u52a8\u8fdb\u884c\u4e86\u7814\u7a76\u3002\u4f7f\u7528\u4e24\u4e2a\u57fa\u4e8e\u53e4\u5730\u78c1\u6570\u636e\u7403\u8c10\u62df\u5408\u7684\u5343\u5e74\u5c3a\u5ea6\u6a21\u578b\uff0c\u4f5c\u8005\u53d1\u73b0\u5730\u78c1\u573a\u7684\u5076\u6781\u5b50\u548c\u8f83\u5c0f\u5c3a\u5ea6\u7684\u8c10\u6ce2<\/span>\uff08\u56db\u6781\u5b50\u548c\u516b\u6781\u5b50\uff09<\/span>\u4e4b\u95f4\u5b58\u5728\u7740\u660e\u663e\u7684\u76f8\u4e92\u4f5c\u7528\u3002<\/span><\/p>\n


<\/p>\n

23. MJO \u76f8\u5173\u6ce2\u52a8\u4e4b\u95f4\u7684\u4fe1\u606f\u6d41\uff1a\u6ce2\u7a7a\u95f4\u4e0a\u7684\u7f51\u7edc\u65b9\u6cd5<\/span><\/strong><\/span><\/h3>\n
\n
\n
\n

\u8bba\u6587\u9898\u76ee\uff1aInformation flow between MJO-related waves: a network approach on the wave space<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/doi.org\/10.1140\/epjs\/s11734-021-00170-5<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


<\/section>\n

Madden\u2013Julian \u632f\u8361<\/span>\uff08Madden\u2013Julian oscillation, MJO\uff09<\/span>\u662f\u70ed\u5e26\u5730\u533a\u5b63\u8282\u5185<\/span>\uff0820-90\u5929\uff09<\/span>\u65f6\u95f4\u5c3a\u5ea6\u4e0a\u6c14\u8c61\u7cfb\u7edf\u7684\u4e3b\u8981\u7ec4\u6210\u73b0\u8c61\u3002\u5b83\u88ab\u8ba4\u4e3a\u662f\u77ed\u671f\u6c14\u5019\u53d8\u5316\u7684\u4e3b\u8981\u9a71\u52a8\u539f\u56e0\uff0c\u56e0\u4e3a\u5176\u5177\u6709\u8c03\u8282\u5b63\u98ce\u7cfb\u7edf\u7684\u4f5c\u7528\uff0c\u4e5f\u4f1a\u63a7\u5236\u70ed\u5e26\u6c14\u65cb\u548c\u98d3\u98ce\u7684\u53d1\u751f\u4e0e\u5f3a\u5ea6\u3002<\/span><\/p>\n


<\/p>\n

               <\/span><\/p>\n


<\/p>\n

OLR \u9886\u57df\u7684 Wheeler-Kiladis \u56fe<\/span><\/p>\n


<\/p>\n

\u6b64\u5916\uff0cMJO \u4f5c\u4e3a\u5384\u5c14\u5c3c\u8bfa-\u5357\u65b9\u6d9b\u52a8<\/span>\uff08El Ni\u00f1o Southern Oscillation\uff0c\u4e0b\u6587\u7b80\u79f0 ENSO\uff09<\/span>\u7684\u201c\u968f\u673a\u201d\u63a8\u52a8\u673a\u5236\u800c\u53d1\u6325\u7740\u91cd\u8981\u4f5c\u7528\uff0c\u5e76\u56e0\u5176\u4e0e\u5317\u5927\u897f\u6d0b\u6d9b\u52a8\u548c\u5176\u5b83\u9065\u76f8\u5173<\/span>\uff08teleconnection\uff09<\/span>\u6a21\u5f0f\u7684\u76f8\u4e92\u4f5c\u7528\u800c\u4e0e\u5168\u7403\u6781\u7aef\u6c14\u5019\u548c\u6c14\u8c61\u4e8b\u4ef6\u7684\u53d1\u751f\u6709\u5173\u3002\u8bba\u6587 [23] \u7684\u4f5c\u8005\u4eec\u5229\u7528\u56e0\u679c\u5173\u7cfb\u6982\u5ff5\u5728\u590d\u6742\u7f51\u7edc\u4e2d\u7684\u5e94\u7528\uff0c\u63a8\u65ad\u4e86\u4e0eMadden\u2013Julian \u632f\u8361\u76f8\u5173\u7684\u8d64\u9053\u6ce2\u76f8\u4e92\u4f5c\u7528\u7684\u7279\u6027\u3002<\/span><\/p>\n


<\/p>\n

24. \u8026\u5408\u7f51\u7edc\u5206\u6790\u63ed\u793aENSO\u72b6\u6001\u4e0b\u6d77\u9762\u6e29\u5ea6\u548c\u964d\u6c34\u4e4b\u95f4\u7684\u5168\u7403\u6708\u5ea6\u534f\u53d8\u6a21\u5f0f<\/span><\/strong><\/span><\/h3>\n
\n
\n
\n

\u8bba\u6587\u9898\u76ee\uff1aCoupled network analysis revealing global monthly-scale co-variability patterns between sea-surface temperatures and precipitation in dependence on the ENSO state<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/doi.org\/10.1140\/epjs\/s11734-021-00168-z<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


<\/section>\n

\u5730\u8868\u5165\u5c04\u592a\u9633\u8f90\u5c04\u7684\u7eac\u5ea6\u4e0d\u5747\u5300\u5206\u5e03\u5bfc\u81f4\u4e86\u70ed\u91cf\u7684\u7ecf\u5411\u5dee\u5f02\uff1a\u5728\u70ed\u5e26\u5730\u533a\u80fd\u91cf\u8fc7\u5269\uff0c\u800c\u6781\u5730\u5730\u533a\u5219\u76f8\u5e94\u4e0d\u8db3\u3002\u5e73\u8861\u8be5\u5dee\u5f02\u7684\u7ecf\u5411\u70ed\u4f20\u8f93\u4e3b\u8981\u901a\u8fc7\u4e24\u79cd\u673a\u5236\u5b9e\u73b0\uff1a\u5176\u4e00\u662f\u901a\u8fc7\u6d0b\u6d41\uff0c\u5c06\u6e29\u6696\u7684\u8868\u5c42\u6c34\u8f93\u9001\u5230\u4e24\u6781\uff0c\u5c06\u5bd2\u51b7\u7684\u8868\u5c42\u4e4b\u4e0b\u7684\u6c34\u8f93\u9001\u5230\u70ed\u5e26\uff1b\u5176\u4e8c\u662f\u901a\u8fc7\u5927\u89c4\u6a21\u7684\u5927\u6c14\u73af\u6d41\u3002\u867d\u7136\u6d77\u6d0b\u673a\u5236\u4e3b\u8981\u5728\u70ed\u5e26\u5730\u533a\u5360\u4e3b\u5bfc\u5730\u4f4d\uff0c\u4f46\u4e2d\u9ad8\u7eac\u5ea6\u5730\u533a\u7684\u7ecf\u5411\u70ed\u4f20\u8f93\u4e5f\u5305\u542b\u7740\u53ef\u89c2\u7684\u6c14\u8c61\u56e0\u7d20\u3002<\/span><\/p>\n

               <\/span><\/p>\n

<\/span><\/p>\n

\u6d77\u9762\u6e29\u5ea6\u4e0e\u964d\u6c34\u6a21\u5f0f\u7684\u4ea4\u53c9\u5ea6\uff08\u57fa\u4e8e\u6700\u5f3a\u7684\u7edd\u5bf9\u76f8\u5173\u6027\uff09<\/span><\/p>\n


<\/p>\n

\u4e00\u822c\u6765\u8bf4\uff0c\u6d77\u6d0b\u548c\u5927\u6c14\u901a\u8fc7\u4e0d\u540c\u7c7b\u578b\u7684\u80fd\u91cf\u901a\u91cf\u76f8\u4e92\u4f5c\u7528\uff0c\u4ece\u800c\u901a\u8fc7\u4f20\u5bfc\u548c\u5bf9\u6d41\u8fdb\u884c\u70ed\u4ea4\u6362\u3002\u5df2\u53d1\u73b0\u8fd9\u79cd\u6d77\u6d0b-\u5927\u6c14\u8026\u5408\u5bf9\u4e8e\u89e3\u91ca\u5404\u79cd\u5173\u952e\u6c14\u5019\u73b0\u8c61\u81f3\u5173\u91cd\u8981\uff0c\u4ece\u70ed\u5e26\u5730\u533a\u5728 ENSO \u5f71\u54cd\u4e0b\u7684\u5b63\u8282\u6027\u5faa\u73af\u7279\u5f81\uff0c\u5230\u4ee3\u9645\u5c3a\u5ea6\u6c14\u5019\u53d8\u5f02\u7684\u5404\u79cd\u6a21\u5f0f\uff0c\u90fd\u53ef\u57fa\u4e8e\u6b64\u89e3\u91ca\u3002\u5176\u5b83\u65b9\u9762\uff0c\u6d77\u9762\u6e29\u5ea6<\/span> (sea-surface temperatures, SST) <\/span>\u7684\u52a8\u6001\u6a21\u5f0f\u4f1a\u4ea7\u751f\u4ece\u6d77\u6d0b\u5230\u5bf9\u6d41\u5c42\u7684\u80fd\u91cf\u548c\u6c34\u5206\u901a\u91cf\u3001\u6c14\u538b\u53d8\u5316\u4ee5\u53ca\u73af\u6d41\u6a21\u5f0f\uff0c\u4ece\u800c\u5f62\u6210\u5168\u7403\u65f6\u7a7a\u964d\u6c34\u6a21\u5f0f\u3002<\/span><\/p>\n


<\/span><\/p>\n

Ekhtiari\u7b49\u4eba[24]\u91c7\u7528\u8026\u5408\u6c14\u5019\u7f51\u7edc\u5206\u6790\uff0c\u6765\u8868\u5f81\u6708\u5ea6\u5c3a\u5ea6\u4e0a\u6d77\u9762\u6e29\u5ea6\u4e0e\u964d\u6c34\u4e4b\u95f4\u7684\u4e3b\u8981\u5168\u7403\u534f\u53d8\u6a21\u5f0f\u3002\u4ed6\u4eec\u7684\u5206\u6790\u63ed\u793a\u4e86\u4e0e\u672c\u5730\u548c\u8fdc\u7a0b\u7edf\u8ba1\u8054\u7cfb\u76f8\u5173\u7684\u7279\u5f81\u5b63\u8282\u6027\u6a21\u5f0f\uff0c\u5e76\u8bc1\u660e\u4e86\u5b83\u4eec\u5bf9\u5f53\u524dENSO\u9636\u6bb5\u7c7b\u578b\u7684\u4f9d\u8d56\u6027\u3002<\/span><\/p>\n


<\/p>\n

25. \u4e9a\u9a6c\u900a\u96e8\u6797\u6781\u7aef\u706b\u707e\u7684\u65f6\u7a7a\u5206\u5e03<\/span><\/strong><\/span><\/h3>\n
\n
\n
\n

\u8bba\u6587\u9898\u76ee\uff1aSpatio-temporal patterns of extreme fires in Amazonian forests<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/doi.org\/10.1140\/epjs\/s11734-021-00164-3<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


<\/section>\n

\u706b\u662f\u4e00\u4e2a\u5730\u7403\u7cfb\u7edf\u8fc7\u7a0b\uff0c\u6570\u767e\u4e07\u5e74\u6765\u4e00\u76f4\u5728\u5851\u9020\u690d\u88ab\uff0c\u5e76\u52a8\u6001\u5730\u5f71\u54cd\u5927\u6c14\u6210\u5206\u3002\u7136\u800c\uff0c\u5728\u8fc7\u53bb\u51e0\u5341\u5e74\u91cc\uff0c\u706b\u5df2\u7ecf\u6210\u4e3a\u4e00\u79cd\u6467\u6bc1\u70ed\u5e26\u68ee\u6797\u7684\u7b80\u6613\u624b\u6bb5\u3002\u7531\u4e8e\u70ed\u5e26\u96e8\u6797\u96be\u4ee5\u9002\u5e94\u706b\u707e\uff0c\u5176\u5728\u7ec4\u6210\u3001\u7ed3\u6784\u548c\u529f\u80fd\u65b9\u9762\u90fd\u53d1\u751f\u4e86\u91cd\u5927\u53d8\u5316\u3002<\/span><\/p>\n

               <\/span><\/p>\n

<\/span><\/section>\n
2004 \u5e74\u5df4\u897f\u9a6c\u6258\u683c\u7f57\u7d22\u5dde\u4e1c\u5317\u90e8\u53d1\u751f\u7684\u4e00\u573a\u6781\u7aef\u706b\u707e\u5728\u7a7a\u95f4\u548c\u65f6\u95f4\u4e0a\u7684\u6f14\u8fdb\u3002\u8be5\u706b\u707e\u4ece 2004\u5e749 \u67084\u65e5\u5f00\u59cb\uff0c\u6301\u7eed\u71c3\u70e7\u4e8610\u5929\u3002<\/span><\/section>\n


<\/p>\n

Cano-Crespo\u7b49\u4eba[25]\u5b9e\u73b0\u4e86\u4e00\u79cd\u57fa\u4e8e\u590d\u6742\u7f51\u7edc\u7684\u65b9\u6cd5\u6765\u8ffd\u8e2a\u5355\u6b21\u706b\u707e\u7684\u65f6\u7a7a\u52a8\u6001\u3002\u4ed6\u4eec\u5173\u6ce8\u4e862002-2019\u5e74\u95f4\u4e9a\u9a6c\u900a\u70ed\u5e26\u96e8\u6797\u7684\u706b\u707e\u4e2d\u6700\u5f3a\u70c8\u76845%\u7684\u6781\u7aef\u706b\u707e\uff0c\u7ed3\u679c\u89c2\u5bdf\u5230\uff0c\u589e\u52a0\u68ee\u6797\u53ef\u71c3\u6027\u7684\u91cd\u5927\u5e72\u65f1\u4e0e\u6781\u7aef\u706b\u707e\u7684\u5e74\u4efd\u65f6\u5e38\u91cd\u5408\uff0c\u6b64\u5916\u4ed6\u4eec\u8fd8\u8bf4\u660e\u4e86\u4eba\u7c7b\u6d3b\u52a8\u7684\u91cd\u8981\u4f5c\u7528\u3002<\/span><\/p>\n


<\/p>\n

26. \u63cf\u8ff0\u5f3a\u964d\u6c34\u4e8b\u4ef6\u540c\u6b65\u7684\u529f\u80fd\u6027\u6c14\u5019\u7f51\u7edc\u4e2d\u8fde\u901a\u6027\u7684\u7a7a\u95f4\u7ec4\u7ec7<\/span><\/strong><\/span><\/h3>\n
\n
\n
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\u8bba\u6587\u9898\u76ee\uff1aSpatial organization of connectivity in functional climate networks describing event synchrony of heavy precipitation<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/doi.org\/10.1140\/epjs\/s11734-021-00166-1<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


<\/section>\n

\u6781\u7aef\u6c14\u5019\u4e00\u76f4\u662f\u4eba\u7c7b\u9762\u4e34\u7684\u5de8\u5927\u6311\u6218\u4e4b\u4e00\u3002\u7531\u4e8e\u5176\u793e\u4f1a\u548c\u7ecf\u6d4e\u5f71\u54cd\uff0c\u4e86\u89e3\u6781\u7aef\u4e8b\u4ef6\u4e4b\u95f4\u7684\u9a71\u52a8\u56e0\u7d20\u548c\u76f8\u4e92\u4f5c\u7528\u4ecd\u7136\u662f\u6c14\u5019\u7814\u7a76\u7684\u4e2d\u5fc3\u4e3b\u9898\u3002\u968f\u7740\u8ba1\u7b97\u80fd\u529b\u7684\u63d0\u9ad8\uff0c\u7814\u7a76\u6781\u7aef\u4e8b\u4ef6\u7684\u540c\u6b65\u6027\u5728\u8fc7\u53bb\u5341\u5e74\u4e2d\u5f15\u8d77\u4e86\u8d8a\u6765\u8d8a\u591a\u7684\u5173\u6ce8\u3002\u5176\u4e2d\u5927\u591a\u6570\u76f8\u5e94\u7684\u7814\u7a76\u90fd\u91c7\u7528\u4e8b\u4ef6\u540c\u6b65<\/span>\uff08event synchrony\uff0cES\uff0c\u4e00\u79cd\u6700\u521d\u7528\u4e8e\u7814\u7a76\u8111\u7535\u8109\u51b2\u5e8f\u5217\u4ee5\u91cf\u5316\u4e8b\u4ef6\u65f6\u95f4\u5e8f\u5217\u540c\u6b65\u7684\u65b9\u6cd5\uff09<\/span>\u6765\u68c0\u67e5\u66b4\u96e8\u7684\u65f6\u7a7a\u7279\u5f81\u3002\u5229\u7528\u4e8b\u4ef6\u540c\u6b65\u6784\u5efa\u5730\u7403\u6c14\u5019\u7cfb\u7edf\u7684\u529f\u80fd\u7f51\u7edc\u8868\u5f81\uff0c\u5728\u7406\u89e3\u5168\u7403\u6781\u7aef\u964d\u96e8\u6a21\u5f0f\u3001\u9884\u6d4b\u5370\u5ea6\u590f\u5b63\u98ce\u7206\u53d1\u548c\u9884\u6d4b\u5b89\u7b2c\u65af\u5c71\u8109\u4e2d\u90e8\u7684\u6d2a\u6c34\u7b49\u4e8b\u4ef6\u65b9\u9762\u53d6\u5f97\u4e86\u91cd\u5927\u8fdb\u5c55\u3002<\/span><\/p>\n


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       <\/span>        <\/span><\/p>\n

\u66b4\u96e8\u4e8b\u4ef6\u529f\u80fd\u6c14\u5019\u7f51\u7edc\u8868\u5f81\u7684\u8282\u70b9\u5ea6\u6a21\u5f0f<\/span><\/p>\n


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Wolf \u548c Donner [26] \u901a\u8fc7\u4f7f\u7528\u4e8b\u4ef6\u540c\u6b65\u548c\u4e8b\u4ef6\u4e00\u81f4\u6027\u5206\u6790<\/span>\uff08event coincidence analysis\uff0cECA\uff09<\/span>\u8fd9\u4e24\u79cd\u4e0d\u540c\u7684\u76f8\u4f3c\u6027\u5ea6\u91cf\u65b9\u6cd5\uff0c\u91cf\u5316\u4e86\u4e8b\u4ef6\u7684\u540c\u6b65\u6027\uff0c\u4ece\u800c\u5bf9\u529f\u80fd\u6027\u6c14\u5019\u7f51\u7edc\u7684\u7279\u5f81\u8fdb\u884c\u4e86\u7814\u7a76\u3002\u4ed6\u4eec\u89c2\u5bdf\u5230\uff0c\u65b9\u6cd5\u6784\u5efa\u548c\u76f8\u5173\u53c2\u6570\u7684\u9009\u62e9\u4f1a\u5bf9\u7f51\u7edc\u62d3\u6251\u7ed3\u6784\u548c\u7ed3\u8bba\u4ea7\u751f\u91cd\u5927\u5f71\u54cd\u3002<\/span><\/p>\n


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27. \u5927\u897f\u6d0b\u7ecf\u5708\u7ffb\u8f6c\u73af\u6d41\u51cf\u5f31\u5bf9\u4e9a\u9a6c\u900a\u5357\u90e8\u96e8\u6797\u7a33\u5b9a\u6027\u7684\u5f71\u54cd<\/span><\/strong><\/span><\/h3>\n
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\u8bba\u6587\u9898\u76ee\uff1aImpact of an AMOC weakening on the stability of the southern Amazon rainforest<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/doi.org\/10.1140\/epjs\/s11734-021-00186-x<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


<\/section>\n

\u4eba\u7c7b\u6392\u653e\u7684\u6e29\u5ba4\u6c14\u4f53\u5df2\u7ecf\u5bfc\u81f4\u5168\u7403\u5e73\u5747\u6c14\u6e29\u8f83\u5de5\u4e1a\u5316\u65f6\u4ee3\u524d\u5347\u9ad8\u4e861.2\u6444\u6c0f\u5ea6\u4ee5\u4e0a\u3002\u5c3d\u7ba1\u5730\u7403\u5728\u8fc7\u53bb\u957f\u671f\u7ecf\u5386\u4e86\u6e29\u6696\u7684\u65f6\u671f\uff0c\u4f46\u6700\u8fd1\u5168\u7403\u5e73\u5747\u6e29\u5ea6\u7684\u589e\u52a0\u5728\u5e45\u5ea6\u548c\u901f\u5ea6\u4e0a\u90fd\u662f\u524d\u6240\u672a\u6709\u7684\u3002\u8fd9\u4e00\u5feb\u901f\u589e\u52a0\u53ef\u80fd\u5bf9\u5730\u7403\u7684\u6c14\u5019\u548c\u751f\u6001\u7cfb\u7edf\u4ea7\u751f\u4e25\u91cd\u540e\u679c\uff0c\u5c24\u5176\u662f\u5bf9\u4e8e\u6240\u8c13\u7684\u201c\u4e34\u754c\u5143\u7d20\u201d<\/span>\uff08tipping elements\uff0c\u6307\u5728\u5927\u5c3a\u5ea6\u7684\u5730\u7403\u7cfb\u7edf\u4e2d\uff0c\u5230\u8fbe\u67d0\u4e2a\u9608\u503c\u540e\u53d7\u5230\u5fae\u5c0f\u6270\u52a8\u5373\u4f1a\u53d1\u751f\u6839\u672c\u53d8\u5316\u7684\u5b50\u7cfb\u7edf\u6216\u7cfb\u7edf\u6210\u5458\uff09<\/span>\u3002\u5168\u7403\u53d8\u6696\u4e00\u65e6\u8d85\u8fc7\u4e34\u754c\u9608\u503c\uff0c\u8fd9\u4e9b\u5b50\u7cfb\u7edf<\/span>\uff08\u5176\u4e2d\u5305\u62ec\u5927\u897f\u6d0b\u7ecf\u5708\u7ffb\u8f6c\u73af\u6d41[Atlantic Meridional Overturning Circulation\uff0c\u4ee5\u4e0b\u7b80\u79f0AMOC]\u3001\u6781\u5730\u51b0\u76d6\u3001\u70ed\u5e26\u5b63\u98ce\u7cfb\u7edf\u4ee5\u53ca\u4e9a\u9a6c\u900a\u96e8\u6797\uff09<\/span>\u5c31\u6709\u53ef\u80fd\u53d1\u751f\u7a81\u53d8\u3002\u76ee\u524d\uff0c\u5728\u7406\u89e3\u8fd9\u4e9b\u4e34\u754c\u5143\u7d20\u53ca\u5176\u5404\u81ea\u7684\u52a8\u529b\u5b66\u65b9\u9762\u5df2\u7ecf\u53d6\u5f97\u4e86\u5b9e\u8d28\u6027\u8fdb\u5c55\u3002\u7136\u800c\uff0c\u91cf\u5316\u76f8\u5173\u7684\u4e34\u754c\u9608\u503c\u4ecd\u7136\u5177\u6709\u6311\u6218\u6027\u3002<\/span><\/p>\n

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\u9884\u8ba12181-2200\u5e74\u5730\u8868\u6c14\u6e29\u548c\u5e73\u5747\u964d\u6c34\u91cf\u7684\u53d8\u5316<\/span><\/p>\n


<\/p>\n

Ciemer \u7b49\u4eba[27] \u8bc4\u4f30\u4e86\u6e29\u5ba4\u6c14\u4f53\u9a71\u52a8\u7684\u70ed\u5e26\u5927\u897f\u6d0b\u53d8\u6696\u5bf9\u4e9a\u9a6c\u900a\u964d\u96e8\u7684\u76f4\u63a5\u5f71\u54cd\u3002\u6b64\u5916\uff0c\u4ed6\u4eec\u8fd8\u4f30\u8ba1\u4e86AMOC\u51cf\u5f31\u6216\u5d29\u6e83\u9020\u6210\u7684\u5f71\u54cd\u3002\u7814\u7a76\u53d1\u73b0\uff0c\u7531\u5168\u7403\u53d8\u6696\u5f15\u8d77\u7684 AMOC \u51cf\u5f31\u548c\u70ed\u5e26\u5927\u897f\u6d0b\u53d8\u6696\u8fd9\u4e24\u4e2a\u8fc7\u7a0b\u53ef\u80fd\u5bf9\u4e9a\u9a6c\u900a\u7684\u964d\u96e8\u603b\u91cf\u4ea7\u751f\u7ade\u4e89\u6027\u5f71\u54cd\uff0c\u4ece\u800c\u5f71\u54cd\u4e9a\u9a6c\u900a\u96e8\u6797\u7684\u7a33\u5b9a\u6027\u3002<\/span><\/p>\n


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28. \u6c14\u5019\u6f14\u53d8\u7f51\u7edc\u89c6\u89d2\u4e0b\u5384\u5c14\u5c3c\u8bfa-\u5357\u65b9\u6d9b\u52a8\u548c\u5f3a\u70c8\u706b\u5c71\u55b7\u53d1\u5bf9\u5168\u7403\u5730\u8868\u6c14\u6e29\u7684\u5f71\u54cd<\/span><\/strong><\/span><\/h3>\n
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\u8bba\u6587\u9898\u76ee\uff1aEvolving climate network perspectives on global surface air temperature effects of ENSO and strong volcanic eruptions<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/doi.org\/10.1140\/epjs\/s11734-021-00269-9<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u6c14\u5019\u6570\u636e\u7684\u5b9e\u8bc1\u5206\u6790\u5bf9\u4e8e\u7406\u89e3\u5384\u5c14\u5c3c\u8bfa\u7b49\u6c14\u5019\u73b0\u8c61\u7684\u6f14\u53d8<\/span>\uff08\u4ee5\u53ca\u968f\u540e\u5f00\u53d1\u66f4\u51c6\u786e\u7684\u9884\u6d4b\u65b9\u6cd5\uff09<\/span>\u81f3\u5173\u91cd\u8981\u3002\u901a\u5e38\uff0c\u6b64\u7c7b\u6570\u636e\u96c6\u6765\u81ea\u4e8e\u5168\u7403\u7684\u4e0d\u540c\u5730\u70b9\u7684\u89c2\u6d4b\uff0c\u5305\u542b\u4e86\u6c14\u6e29\u3001\u964d\u6c34\u6216\u5176\u5b83\u6c14\u5019\u53d8\u91cf\u7684\u65f6\u95f4\u5e8f\u5217\u3002\u5b83\u4eec\u7684\u5171\u540c\u7279\u6027\u662f\uff0c\u5728\u591a\u4e2a\u5c3a\u5ea6\u4e0a\u6216\u5c3a\u5ea6\u95f4\uff0c\u5177\u6709\u957f\u7a0b\u7a7a\u95f4\u76f8\u5173\u6027\uff0c\u5e76\u5e38\u5e38\u5305\u542b\u65f6\u95f4\u76f8\u5173\u6027\u3002<\/span><\/p>\n

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\u672c\u6587\u4e2d\u4e3b\u8981\u5173\u6ce8\u7684\u533a\u57df<\/span><\/p>\n


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\u5384\u5c14\u5c3c\u8bfa-\u5357\u65b9\u6d9b\u52a8\u73b0\u8c61<\/span>\uff08ENSO\uff09<\/span>\u4e0e20\u4e16\u7eaa\u4e2d\u53f6\u4ee5\u6765\u7684\u4e09\u5927\u706b\u5c71\u55b7\u53d1\u662f\u4e24\u79cd\u91cd\u8981\u7684\u5468\u671f\u6027\u7a81\u53d1\u6c14\u5019\u4e8b\u4ef6\u3002Kittel\u7b49\u4eba[28]\u91c7\u7528\u529f\u80fd\u6027\u6c14\u5019\u7f51\u7edc\u5206\u6790\uff0c\u533a\u5206\u4e86\u5168\u7403\u6c14\u5019\u53d8\u5316\u5bf9ENSO\u7684\u4e0d\u540c\u9636\u6bb5\u4e0e\u5bf9\u8fd9\u4e09\u5927\u706b\u5c71\u55b7\u53d1\u7684\u54cd\u5e94\u3002<\/span><\/p>\n


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29. \u4f7f\u7528\u590d\u6742\u7f51\u7edc\u5206\u6790\u5357\u7f8e\u5b63\u98ce\u4f4e\u5c42\u73af\u6d41\u53d8\u5316<\/span><\/strong><\/span><\/h3>\n
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\u8bba\u6587\u9898\u76ee\uff1aVariability of the low-level circulation of the South American monsoon analysed with complex networks<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/doi.org\/10.1140\/epjs\/s11734-021-00187-w<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u5b63\u98ce\u7cfb\u7edf\u662f\u5927\u6c14\u8fc7\u7a0b\u5728\u5404\u79cd\u7a7a\u95f4\u548c\u65f6\u95f4\u5c3a\u5ea6\u4e0a\u590d\u6742\u76f8\u4e92\u4f5c\u7528\u7684\u7ed3\u679c\u3002\u5b63\u98ce\u7684\u5f3a\u5ea6\u548c\u6d3b\u8dc3\u5ea6\u6700\u663e\u8457\u7684\u8868\u73b0\u5c31\u662f\u53cd\u5e38\u7684\u9ad8\u964d\u6c34\u91cf\u3002\u964d\u6c34\u7684\u5f3a\u5ea6\u4e0e\u5b63\u98ce\u7cfb\u7edf\u7684\u4f4e\u5c42\u73af\u6d41\u5b58\u5728\u5fc5\u7136\u7684\u8026\u5408\uff0c\u56e0\u6b64\u7814\u7a76\u8005\u4eec\u57fa\u4e8e\u964d\u6c34\u3001\u538b\u529b\u7cfb\u7edf\u548c\u98ce\uff0c\u63d0\u51fa\u4e86\u5b63\u98ce\u6d3b\u8dc3\u671f\u4e0e\u975e\u6d3b\u8dc3\u671f\u7684\u4e0d\u540c\u6807\u51c6\u3002\u6d3b\u8dc3\u671f\u548c\u975e\u6d3b\u8dc3\u671f\u4e0e\u4f4e\u5c42\u73af\u6d41<\/span>\uff08low-level circulation\uff09<\/span>\u7684\u53d8\u5316\u5bc6\u5207\u76f8\u5173\u3002\u5728\u53d1\u751f\u5f02\u5e38\u9ad8\u7684\u964d\u6c34\u65f6\uff0c\u5b63\u98ce\u7684\u5f3a\u5ea6\u6216\u6d3b\u52a8\u5e38\u5e38\u6700\u5bb9\u6613\u88ab\u4eba\u6ce8\u610f\u3002<\/span><\/p>\n


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\u5357\u7f8e\u5b63\u98ce\u7cfb\u7edf\u4f4e\u5c42\u5927\u6c14\u73af\u6d41\u6982\u89c8<\/span><\/p>\n


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Gelbrecht\u7b49\u4eba[29]\u5229\u7528\u6d41\u98ce\u7f51\u7edc<\/span>\uff08streamflow wind networks\uff0c\u4e00\u79cd\u8ddf\u8e2a\u98ce\u573a\u5c40\u90e8\u6d41\u52a8\u7684\u6c14\u5019\u7f51\u7edc\uff09<\/span>\u4ee5\u53ca\u5bf9\u98ce\u3001\u964d\u6c34\u548c\u4f4d\u52bf\u9ad8\u5ea6\u573a<\/span>\uff08geopotential height fields\uff09<\/span>\u7684\u590d\u5408\u5206\u6790\uff0c\u7814\u7a76\u4e86\u5357\u7f8e\u4f4e\u5c42\u73af\u6d41\u7684\u53ef\u53d8\u6027\u3002<\/span><\/p>\n


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30. \u4f7f\u7528\u57fa\u4e8e\u7269\u7406\u7684\u673a\u5668\u5b66\u4e60\u65b9\u6cd5\u5206\u6790\u53cc\u7a33\u6001\u6c14\u5019\u73a9\u5177\u6a21\u578b<\/span><\/strong><\/span><\/h3>\n
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\u8bba\u6587\u9898\u76ee\uff1aAnalysis of a bistable climate toy model with physics-based machine learning methods<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/doi.org\/10.1140\/epjs\/s11734-021-00175-0<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u5b9a\u6027\u4e86\u89e3\u590d\u6742\u7cfb\u7edf\u7684\u9ad8\u7ef4\u6df7\u6c8c\u6a21\u578b\u7684\u884c\u4e3a\u548c\u52a8\u529b\u5b66\u662f\u4e00\u9879\u5177\u6709\u6311\u6218\u6027\u7684\u4efb\u52a1\u3002\u5730\u7403\u7684\u6c14\u5019\u3001\u7535\u7f51\u3001\u4eba\u8111\uff0c\u4ee5\u53ca\u611f\u77e5\u6216\u57fa\u56e0\u8868\u8fbe\u7f51\u7edc\uff0c\u90fd\u5728\u7cfb\u7edf\u53c2\u6570\u7684\u7279\u5b9a\u8303\u56f4\u5185\uff0c\u5728\u4e0d\u540c\u7684\u5438\u5f15\u57df<\/span>\uff08basins of attractions\uff0c\u5728\u4e00\u4e2a\u5438\u5f15\u5b50\u7684\u5438\u5f15\u57df\u5185\uff0c\u6240\u6709\u7684\u70b9\u4f1a\u8d8b\u5411\u5438\u5f15\u5b50\uff09<\/span>\u5185\u8868\u73b0\u51fa\u5411\u591a\u7a33\u6001\u53d1\u5c55\u7684\u8d8b\u52bf\u3002\u80fd\u91cf\u5e73\u8861\u6c14\u5019\u6a21\u578b\u6307\u51fa\uff1a\u592a\u9633\u8f90\u5c04\u7684\u53d8\u5316\uff0c\u4e0e\u5730\u7403\u5728\u5bd2\u51b7\u72b6\u6001\u548c\u5bf9\u5e94\u4e8e\u5f53\u524d\u6c14\u5019\u7684\u6e29\u6696\u72b6\u6001\u4e4b\u95f4\u7684\u53d8\u5316\uff0c\u5b58\u5728\u5df2\u77e5\u7684\u6ede\u540e\u6548\u5e94\uff1b\u6b64\u65f6\u5728\u53cc\u7a33\u6001\u533a\u57df\u7684\u4e0a\u9650\u548c\u4e0b\u9650\u5904\u4f1a\u53d1\u751f\u4e0d\u8fde\u7eed\u7684\u8f6c\u53d8\u3002<\/span><\/p>\n

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Gelbrecht\u7b49\u4eba[30]\u63d0\u51fa\u4e86\u4e00\u4e2a\u7528\u4e8e\u7814\u7a76\u9ad8\u7ef4\u6df7\u6c8c\u6a21\u578b\u7684\u7b2c\u4e00\u7c7b\u3001\u7b2c\u4e8c\u7c7b\u53ef\u9884\u62a5\u6027\u7684\u6846\u67b6\u3002\u4f5c\u8005\u57fa\u4e8e\u8026\u5408\u6d1b\u4f26\u517996\u6a21\u578b<\/span>\uff08Lorenz \u201996\uff0c\u4e00\u79cd\u52a8\u529b\u7cfb\u7edf\u6a21\u578b\uff09<\/span>\u548c\u4e00\u79cd\u80fd\u91cf\u5e73\u8861\u6a21\u578b\uff0c\u6784\u5efa\u4e86\u4e00\u4e2a\u65b0\u7684\u591a\u7a33\u6001\u6c14\u5019\u73a9\u5177\u6a21\u578b<\/span>\uff08toy model\uff0c\u6307\u523b\u610f\u7b80\u5316\u7684\u6a21\u578b\uff0c\u7528\u4e8e\u7b80\u6d01\u89e3\u91ca\u673a\u5236\uff09<\/span>\uff0c\u5e76\u5c06\u4e0a\u8ff0\u6846\u67b6\u5e94\u7528\u4e8e\u5176\u4e2d\u3002\u968f\u540e\u4f5c\u8005\u4f7f\u7528\u4e86\u795e\u7ecf\u7f51\u7edc\u5e38\u5fae\u5206\u65b9\u7a0b\u6765\u9884\u6d4b\u4e86\u7cfb\u7edf\u7684\u672a\u6765\u72b6\u6001\u3002<\/span><\/p>\n


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31. \u4ece\u6e56\u6cca\u548c\u7a7a\u5730\u5230\u751f\u5b58\u529b\u7b97\u6cd5\uff1a\u6839\u636e\u53ef\u6301\u7eed\u7ba1\u7406\u7684\u62d3\u6251\u7ed3\u6784\u81ea\u52a8\u5206\u7c7b<\/span>\u7cfb\u7edf\u72b6\u6001<\/strong><\/span><\/h3>\n
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\u8bba\u6587\u9898\u76ee\uff1aFrom lakes and glades to viability algorithms: automatic classification of system states according to the topology of sustainable management<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/doi.org\/10.1140\/epjs\/s11734-021-00262-2<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u4e3a\u4eba\u7c7b\u5236\u5b9a\u901a\u5f80\u53ef\u6301\u7eed\u672a\u6765\u7684\u9053\u8def\u9700\u8981\u8003\u8651\u4e0d\u540c\u7684\u751f\u7269\u7269\u7406\u89c4\u5f8b\u548c\u793e\u4f1a\u7684\u7ea6\u675f\u3002Rockstr\u00f6m \u7b49\u4eba\u63d0\u51fa\u4e86\u884c\u661f\u8fb9\u754c\u6982\u5ff5\uff0c\u5e76\u7531 Steffen \u7b49\u4eba\u6269\u5c55\u3002\u8be5\u7406\u8bba\u5b9a\u4e49\u4e86\u4e00\u7ec4\u751f\u7269\u7269\u7406\u8fb9\u754c\uff0c\u4ee5\u786e\u4fdd\u4eba\u7c7b\u80fd\u5728\u5f53\u524d\u7684\u5730\u7403\u4e0a\u53d1\u5c55\u3002\u4ece\u5730\u7403\u5bb9\u7eb3\u4eba\u7c7b\u65b0\u9648\u4ee3\u8c22\u7684\u80fd\u529b\u7684\u89d2\u5ea6\u6765\u770b\uff0c\u5b83\u4eec\u4e3a\u5b89\u5168\u8fd0\u884c\u7a7a\u95f4\u8bbe\u5b9a\u4e86\u9650\u5236\u3002Raworth \u5c06\u6846\u67b6\u6269\u5c55\u5230\u5305\u62ec\u793e\u4f1a\u57fa\u7840\uff0c\u5373\u793e\u4f1a\u6bcf\u4e2a\u6210\u5458\u90fd\u6709\u4f53\u9762\u7684\u751f\u8ba1\uff0c\u4ece\u800c\u5b9e\u73b0\u516c\u6b63\u548c\u516c\u5e73\u7684\u4eba\u7c7b\u53d1\u5c55\u3002<\/span><\/p>\n

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Kittel\u7b49\u4eba[31]\u5c06\u4e0a\u8ff0\u4e24\u79cd\u8fb9\u754c\u90fd\u79f0\u4e3a\u53ef\u6301\u7eed\u6027\u8fb9\u754c\u3002\u5c0a\u91cd\u4e24\u8005\u7684\u7cfb\u7edf\u72b6\u6001\u96c6\u88ab\u79f0\u4e3a\u5b89\u5168\u548c\u516c\u6b63\u7684\u8fd0\u884c\u7a7a\u95f4\uff0c\u8ba4\u4e3a\u53ea\u6709\u5728\u5c0a\u91cd\u884c\u661f\u8fb9\u754c\u548c\u793e\u4f1a\u57fa\u7840\u65f6\uff0c\u53ef\u6301\u7eed\u53d1\u5c55\u624d\u6709\u53ef\u80fd\u3002\u6587\u7ae0\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528\u751f\u5b58\u529b\u7406\u8bba<\/span>\uff08viability theory\uff09<\/span>\u4e2d\u7684\u8ba1\u7b97\u65b9\u6cd5\u6765\u66f4\u597d\u5730\u7406\u89e3\u53ef\u63a7\u52a8\u529b\u7cfb\u7edf\u7684\u72b6\u6001\u7a7a\u95f4\u3002<\/span><\/p>\n


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32. \u5229\u7528\u8003\u8651\u706b\u707e\u7684\u5730\u7403\u7cfb\u7edf\u6a21\u578b\u7814\u7a76\u70ed\u5e26\u68ee\u6797\u4e2d\u7531\u6c14\u5019\u5f15\u8d77\u7684\u6ede\u540e\u73b0\u8c61<\/span><\/strong><\/span><\/h3>\n
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\u8bba\u6587\u9898\u76ee\uff1aClimate-induced hysteresis of the tropical forest in a fire-enabled Earth system model<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/doi.org\/10.1140\/epjs\/s11734-021-00157-2<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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Dr\u00fcke\u7b49\u4eba[32]\u7814\u7a76\u4e86\u6cdb\u70ed\u5e26\u68ee\u6797\u4e2d\u6c14\u5019\u5f15\u8d77\u7684\u6ede\u540e\u73b0\u8c61\uff0c\u4ee5\u53ca\u5728\u672a\u6765\u6c14\u5019\u6761\u4ef6\u4e0b\u706b\u707e\u5e26\u6765\u7684\u5f71\u54cd\u3002\u4ed6\u4eec\u4f7f\u7528\u4e86\u5730\u7403\u7cfb\u7edf\u6a21\u578bCM2Mc\uff0c\u5e76\u5c06\u8be5\u6a21\u578b\u5728\u751f\u7269\u7269\u7406\u4e0a\u4e0e\u8003\u8651\u4e86\u706b\u707e\u7684\u5f53\u524d\u6700\u4f73\u6a21\u578b\u5373\u52a8\u6001\u5168\u7403\u690d\u88ab\u6a21\u578bLPJmL\u76f8\u8026\u5408\uff0c\u7ed3\u679c\u8bf4\u660e\u4e86\u70ed\u5e26\u68ee\u6797\u4e2d\u6c14\u5019\u5f15\u8d77\u7684\u6ede\u540e\u73b0\u8c61\uff0c\u4ee5\u53ca\u6c14\u5019\u6062\u590d\u5230\u539f\u59cb\u72b6\u6001\u540e\u68ee\u6797\u6062\u590d\u7684\u6ede\u540e\u53cd\u5e94\u3002<\/span><\/p>\n


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33. \u5bf9\u590d\u6742\u7f51\u7edc\u4e0a\u4ea4\u4e92\u7ffb\u8f6c\u6210\u5458\u7684\u975e\u7ebf\u6027\u52a8\u529b\u5b66\u8fdb\u884c\u5efa\u6a21\uff1aPyCascades\u8f6f\u4ef6\u5305<\/span><\/strong><\/span><\/h3>\n
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\u8bba\u6587\u9898\u76ee\uff1aModelling nonlinear dynamics of interacting tipping elements on complex networks: the PyCascades package<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/doi.org\/10.1140\/epjs\/s11734-021-00155-4<\/span><\/p>\n<\/section>\n<\/section>\n<\/blockquote>\n


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\u8fd1\u5e74\u6765\uff0c\u590d\u6742\u7cfb\u7edf\u76f8\u5173\u7814\u7a76\u8d8a\u6765\u8d8a\u5173\u6ce8\u4e34\u754c\u70b9<\/span>\uff08tipping point\uff09<\/span>\u95ee\u9898\uff0c\u56e0\u4e3a\u5728\u8bb8\u591a\u4e0d\u540c\u7684\u7cfb\u7edf\uff0c\u5982\u751f\u6001\u7cfb\u7edf\u3001\u7ecf\u6d4e\u5b66\u3001\u5730\u7403\u6c14\u5019\u7cfb\u7edf\u548c\u793e\u4f1a\u7cfb\u7edf\u4e2d\uff0c\u90fd\u5b58\u5728\u4e34\u754c\u70b9\u7684\u95ee\u9898\u3002\u4e34\u754c\u70b9\u662f\u4e34\u754c\u5143\u7d20<\/span>\uff08tipping elements\uff09<\/span>\u7684\u4e34\u754c\u9608\u503c\uff0c\u5176\u4e2d\u4e00\u4e2a\u5c0f\u7684\u6270\u52a8\u5c31\u8db3\u4ee5\u5f15\u53d1\u6574\u4e2a\u7cfb\u7edf\u7684\u8d28\u53d8\u3002<\/span><\/p>\n

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PyCascades\u6838\u5fc3\u7684UML\u7c7b\uff0c\u63cf\u8ff0\u4e86PyCascades\u529f\u80fd\u5728\u4e0d\u540c python \u7c7b\u4e2d\u5206\u79bb\u7684\u7ed3\u6784\u548c\u4f9d\u8d56\u5173\u7cfb\u3002<\/span><\/section>\n


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Wunderling \u7b49\u4eba [33] \u4ecb\u7ecd\u4e86\u7528\u4e8e\u7814\u7a76\u4ea4\u4e92\u7684\u4e34\u754c\u5143\u7d20\u7684\u5f00\u6e90\u8f6f\u4ef6\u5305 PyCascades\u3002\u8be5\u8f6f\u4ef6\u53ef\u7528\u4e8e\u67e5\u8be2\u5728\u54ea\u4e9b\u6761\u4ef6\u4e0b\uff0c\u53ef\u80fd\u5728\u76f8\u4e92\u4f5c\u7528\u7684\u52a8\u529b\u7cfb\u7edf\u4e2d\u51fa\u73b0\u6f5c\u5728\u7684\u7ea7\u8054\u98ce\u9669\uff0c\u5e76\u7279\u522b\u5173\u6ce8\u4e86\u4e34\u754c\u5143\u7d20\u3002<\/span><\/p>\n


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[1] R. Ronge, M.A. Zaks, Splay states and two-cluster states in ensembles of excitable units. Eur. Phys. J. Spec. Top. (2021).<\/span><\/p>\n

[2] J.A. Kromer, Noise-induced dynamics of coupled excitable systems with slow positive feedback. Eur. Phys. J. Spec. Top. (2021).<\/span><\/p>\n

[3] T. de Lima Prado, E.E.N. Macau, S.R. Lopes, Detection of data corruption in stationary time series using recurrence microstates probabilities Eur. Phys. J. Spec. Top. (2021).<\/span><\/p>\n

[4] A.M.M.M. Gouv\u00eaa, T.S. da Silva, E.E.N. Macau, M.G. Quiles, Force-directed algorithms as a tool to support community detection: a review. Eur. Phys. J. Spec. Top.<\/span><\/p>\n

[5] M.S. Palmero, G.I. D\u00edaz, I.L. Caldas, I.M. Sokolov, Sub-diffusive behavior in the standard map. Eur. Phys. J. Spec. Top. (2021).<\/span><\/p>\n

[6] L. Anghinoni, D.A. Vega-Oliveros, T.C. Silva, L. Zhao, Time series pattern identification by hierarchical community detection. Eur. Phys. J. Spec. Top. (2021).<\/span><\/p>\n

[7] L. Lima, P. Ruffino, F. Souza, Stochastic near-optimal control: additive, multiplicative, non-Markovian and applications. Eur. Phys. J. Spec. Top. (2021).<\/span><\/p>\n

[8] F. Iannelli, I.M. Sokolov, Path-integral formulation of spreading processes in complex networks. Eur. Phys. J. Spec. Top. (2021).<\/span><\/p>\n

[9] A.D.B. Valejo, W. de Oliveira dos Santos, M.C. Nadl, L. Zhao, A review and comparative analysis of coarsening algorithms on bipartite networks. Eur. Phys. J. Spec. Top. (2021).<\/span><\/p>\n

[10] U.M. Tomasini, V. Lucarini, Predictors and predictands of linear response in spatially extended systems. Eur. Phys. J. Spec. Top. (2021).<\/span><\/p>\n

[11] E. Teichmann, Using phase dynamics to study partial synchrony: three examples. Eur. Phys. J. Spec. Top. (2021).<\/span><\/p>\n

[12] F.A.N. Verri, R.A. Gueleri, Q. Zheng, J. Zhang, L. Zhao, Network community detection via iterative edge removal in a flocking-like system. Eur. Phys. J. Spec. Top. (2021).<\/span><\/p>\n

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[27] C. Ciemer, R. Winkelmann, J. Kurths, N. Boers, Impact of an AMOC weakening on the stability of the southern Amazon rainforest. Eur. Phys. J. Spec. Top. (2021).<\/span><\/p>\n

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[29] M. Gelbrecht, N. Boers, J. Kurths, Variability of the low-level circulation of the South American monsoon analysed with complex networks. Eur. Phys. J. Spec. Top. (2021).<\/span><\/p>\n

[30] M. Gelbrecht, V. Lucarini, N. Boers, J. Kurths, Analysis of a bistable climate toy model with physics-based machine learning methods. Eur. Phys. J. Spec. Top. (2021).<\/span><\/p>\n

[31] T. Kittel, F. M\u00fcller-Hansen, R. Koch, J. Heitzig, G. Deffuant, J.-D. Mathias, J. Kurths, From lakes and glades to viability algorithms: automatic classification of system states according to the topology of sustainable management. Eur. Phys. J. Spec. Top. (2021).<\/span><\/p>\n

[32] M. Dr\u00fcke, W. von Bloh, B. Sakschewski, N. Wunderling, S. Petri, M. Cardoso, H.M.J. Barbosa, K. Thonicke, Climate-induced hysteresis of the tropical forest in a fire-enabled Earth system model. Eur. Phys. J. Spec. Top. (2021).<\/span><\/p>\n

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