{"id":18460,"date":"2020-02-22T22:07:50","date_gmt":"2020-02-22T14:07:50","guid":{"rendered":"https:\/\/swarma.org\/?p=18460"},"modified":"2020-02-22T22:07:50","modified_gmt":"2020-02-22T14:07:50","slug":"%e8%b7%a8%e5%ad%a6%e7%a7%91%e5%90%88%e4%bd%9c%e7%bd%91%e7%bb%9c%e6%b7%b7%e5%90%88%e6%a8%a1%e5%bc%8f%ef%bc%9a%e9%80%9a%e8%bf%87%e5%a4%9a%e8%a7%86%e8%a7%92%e8%af%84%e4%bc%b0%e8%b7%a8%e5%ad%a6%e7%a7%91","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=18460","title":{"rendered":"\u8de8\u5b66\u79d1\u5408\u4f5c\u7f51\u7edc\u6df7\u5408\u6a21\u5f0f\uff1a\u901a\u8fc7\u591a\u89c6\u89d2\u8bc4\u4f30\u8de8\u5b66\u79d1\u6027 | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901226\u7bc7"},"content":{"rendered":"
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\u672c\u6587\u7531\u673a\u5668\u7ffb\u8bd1\uff0c\u4ec5\u4f9b\u53c2\u8003\uff0c\u611f\u5174\u8da3\u8bf7\u67e5\u9605\u8bba\u6587\u539f\u6587<\/span><\/p>\n<\/section>\n<\/blockquote>\n


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\u6838\u5fc3\u901f\u9012<\/span><\/strong><\/span><\/p>\n


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  • \n

    \u8de8\u5b66\u79d1\u5408\u4f5c\u7f51\u7edc\u6df7\u5408\u6a21\u5f0f\uff1a<\/span>\u901a\u8fc7\u591a\u89c6\u89d2\u8bc4\u4f30\u8de8\u5b66\u79d1\u6027;<\/span>
    <\/p>\n<\/li>\n

  • \n
    2019-nCoV\u7206\u53d1\u7684\u65f6\u95f4\u5ef6\u8fdf\u52a8\u529b\u5b66\u6a21\u578b\u4e0e\u53c2\u6570\u8fa8\u8bc6;<\/span><\/section>\n<\/li>\n
  • \n
    \u54ea\u4e2a\u662f\u4f60\u6700\u559c\u6b22\u7684\u97f3\u4e50\u98ce\u683c\uff1f<\/span> Facebook\u7684\u6570\u636e\u548c\u8c03\u67e5\u6570\u636e\u7684\u6709\u6548\u6027\u6bd4\u8f83;<\/span><\/section>\n<\/li>\n
  • \n
    \u6d4b\u91cf\u5d4c\u5957\u7ed3\u6784\uff1a<\/span>\u4e0d\u540c\u5ea6\u91cf\u8868\u73b0\u7684\u6bd4\u8f83\u7814\u7a76;<\/span><\/section>\n<\/li>\n
  • \n
    \u5229\u7528\u4ea4\u901a\u7f51\u7edc\u5206\u6790\u4f30\u8ba1\u533a\u57df\u7ecf\u6d4e\u53d1\u5c55\u6307\u6807;<\/span><\/section>\n<\/li>\n
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    \u542b\u65f6\u591a\u8def\u7f51\u7edc\u7684\u4ecb\u6570\u4e2d\u5fc3\u6027;<\/span><\/section>\n<\/li>\n
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    \u4f7f\u7528\u6709\u9650\u7684\u4ea4\u4e92\u5f71\u54cd\u7f51\u7edc\u8206\u8bba\u52a8\u6001;<\/span><\/section>\n<\/li>\n
  • \n
    \u7531\u5b63\u8282\u6027\u6d41\u611f\u5f15\u8d77\u7684\u884c\u4e3a\u53d8\u5316\u7684\u6570\u636e\u9a71\u52a8\u7684\u7279\u5f81;<\/span><\/section>\n<\/li>\n
  • \n
    \u901a\u8fc7\u79d1\u5b66\u6587\u732e\u5f15\u7528\u5ea6\u91cf\u5730\u7406\u63a5\u8fd1\u6027\u5728\u77e5\u8bc6\u4f20\u64ad\u4e2d\u7684\u4f5c\u7528;<\/span><\/section>\n<\/li>\n
  • \n
    \u4e24\u8def\u5f84\u6df1\u5ea6\u534a\u76d1\u7763\u5b66\u4e60\u7528\u4e8e\u5373\u65f6\u5047\u65b0\u95fb\u68c0\u6d4b;<\/span><\/section>\n<\/li>\n
  • \n
    \u67e5\u627e\u7b26\u53f7\u7f51\u7edc\u5927\u578b\u5747\u8861\u5b50\u56fe;<\/span><\/section>\n<\/li>\n
  • \n
    \u751f\u59dc\u4e0d\u80fd\u6cbb\u6108\u764c\u75c7\uff1a<\/span>\u4f7f\u7528\u7efc\u5408\u6570\u636e\u5b58\u50a8\u5e93\u5bf9\u6297\u865a\u5047\u5065\u5eb7\u65b0\u95fb;<\/span><\/section>\n<\/li>\n
  • \n
    \u4f7f\u7528\u503e\u5411\u8bc4\u5206\u5339\u914d\u63d0\u9ad8\u5047\u65b0\u95fb\u68c0\u6d4b\u65b9\u6cd5\u7684\u4e00\u822c\u6027;<\/span><\/section>\n<\/li>\n
  • \n
    \u5927\u89c4\u6a21\u968f\u673a\u5757\u6a21\u578b\u7684\u968f\u673a\u8c31\u805a\u7c7b;<\/span><\/section>\n<\/li>\n
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    \u5f53\u5c11\u5373\u662f\u591a\uff1a<\/span>\u57fa\u4e8e\u7ea7\u8054\u793e\u533a\u68c0\u6d4b\u7684\u7cfb\u7edf\u5206\u6790;<\/span><\/section>\n<\/li>\n
  • \n
    cube2net\uff1a<\/span>\u4f7f\u7528\u6570\u636e\u7acb\u65b9\u4f53\u7ec4\u7ec7\u8fdb\u884c\u9ad8\u6548\u7684\u9762\u5411\u67e5\u8be2\u7684\u7f51\u7edc\u6784\u5efa;<\/span><\/section>\n<\/li>\n
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    \u6211\u7684YouTube\u548c\u4f60\u7684YouTube\u4e00\u6837\u5417\uff1f<\/span>\u4f7f\u7528\u70ed\u95e8\u89c6\u9891\u7684YouTube\u7684\u7f29\u7565\u56fe\u5206\u6790\u6587\u5316;<\/span><\/section>\n<\/li>\n
  • \n
    \u793e\u533a\u68c0\u6d4b\uff08ABCD\uff09\u4eba\u9020\u57fa\u51c6\uff1a<\/span>\u6709\u7fa4\u843d\u7ed3\u6784\u7684\u5feb\u901f\u968f\u673a\u56fe\u6a21\u578b;<\/span><\/section>\n<\/li>\n
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    DiffNet++\uff1a<\/span>\u4e00\u4e2a\u7528\u4e8e\u793e\u4f1a\u63a8\u8350\u7684\u795e\u7ecf\u7f51\u7edc\u5f71\u54cd\u529b\u548c\u5174\u8da3\u6269\u6563\u7f51\u7edc;<\/span><\/section>\n<\/li>\n
  • \n
    \u6269\u6563\u6a21\u578b\u7684\u5b50\u6a21\u6027\uff1a<\/span>\u7b49\u4ef7\u6761\u4ef6\u53ca\u5176\u5e94\u7528;<\/span><\/section>\n<\/li>\n
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    \u5bf9\u6bd4\u75ab\u82d7\u7684\u653f\u6cbb\u6c9f\u901a\u540e\uff0c\u5728\u7ebf\u793e\u4ea4\u5a92\u4f53\u5bf9\u514d\u75ab\u7684\u4e0d\u4fe1\u4efb\u548c\u8ff7\u5931\u7684\u8bc1\u636e\u3002<\/span>\u6765\u81ea\u610f\u5927\u5229\u63a8\u7279\u6570\u636e\u7684\u5206\u6790\u7ed3\u679c;<\/span><\/section>\n<\/li>\n
  • \n
    \u4e00\u4e2a\u4f17\u7b79\u7684\u52a8\u6001\u534f\u540c\u8ddf\u8e2a\u7cfb\u7edf;<\/span><\/section>\n<\/li>\n
  • \n
    \u57fa\u4e8e\u7ed3\u6784\u7279\u5f81\u7684\u56fe\u81ea\u9002\u5e94\u6c60\u5316;<\/span><\/section>\n<\/li>\n
  • \n
    \u5728\u81ea\u903b\u8f91\u89d2\u8272\u5c5e\u6027\u6a21\u578b\u4e2d\u4f7f\u7528\u57fa\u4e8e\u91c7\u6837\u7684\u7f51\u7edc\u6570\u636e;<\/span><\/section>\n<\/li>\n
  • \n
    \u771f\u7406\u7684\u5185\u6838\uff1a<\/span>\u53ea\u4f7f\u7528Twitter\u4e0a\u7684\u6269\u6563\u6a21\u5f0f\u786e\u5b9a\u4f20\u95fb\u51c6\u786e\u6027;<\/span><\/section>\n<\/li>\n
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    \u57fa\u4e8e\u788e\u7247\u51dd\u7ed3\u7684\u6df7\u5408\u6210\u5458\u968f\u673a\u5757\u6a21\u578b;<\/span><\/section>\n<\/li>\n<\/ul>\n

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    \u8de8\u5b66\u79d1\u5408\u4f5c\u7f51\u7edc\u6df7\u5408\u6a21\u5f0f\uff1a<\/strong><\/span><\/p>\n

    \u901a\u8fc7\u591a\u89c6\u89d2\u8bc4\u4f30\u8de8\u5b66\u79d1\u6027<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/section>\n<\/h3>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span> <\/span><\/strong><\/section>\n
    Mixing Patterns in Interdisciplinary Collaboration Networks: Assessing Interdisciplinarity Through Multiple Lenses<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    <\/span>http:\/\/arxiv.org\/abs\/2002.00531<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span> <\/span><\/strong><\/section>\n
    S<\/span>hihui Feng, Alec Kirkley<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span> <\/span><\/strong>\u6709\u8de8\u5b66\u79d1\u7814\u7a76\u5408\u4f5c\u56fa\u6709\u7684\u6311\u6218\uff0c\u5982\u7f29\u5c0f\u5dee\u8ddd\u7684\u8ba4\u77e5\u548c\u5e73\u8861\u4e0e\u534f\u540c\u6548\u76ca\u7684\u4ea4\u6613\u6210\u672c\u3002<\/span>\u8fd9\u5c31\u63d0\u51fa\u4e86\u4e00\u4e2a\u95ee\u9898\uff1a<\/span>\u662f\u5426\u8de8\u5b66\u79d1\u7684\u7814\u7a76\u5fc5\u7136\u5bfc\u81f4\u8de8\u5b66\u79d1\u7684\u5408\u4f5c\uff1f<\/span>\u672c\u7814\u7a76\u65e8\u5728\u63a2\u8ba8\u8fd9\u4e2a\u95ee\u9898\uff0c\u5e76\u901a\u8fc7\u534f\u8c03\u7f51\u7edc\u68c0\u67e5\u6df7\u5408\u6a21\u5f0f\u5728\u4e2a\u4eba\uff0c\u4e8c\u5143\uff0c\u548c\u56e2\u961f\u6c34\u5e73\u8bc4\u4f30\u7684\u8de8\u5b66\u79d1\u7814\u7a76\u5408\u4f5c\u7684\u559c\u597d\u3002<\/span>\u4ece\u6559\u80b2\u4eba\u5de5\u667a\u80fd\u9886\u57df\u4f7f\u7528\u8d85\u8fc72000\u540d\u7814\u7a76\u4eba\u5458\u7ec4\u6210\u7684\u7f51\u7edc\uff0c\u6211\u4eec\u53d1\u73b0\uff0c\u201c\u8de8\u5b66\u79d1\u201d\u662f\u7531\u4e2a\u522b\u7814\u7a76\u4eba\u5458\uff0c\u800c\u4e0d\u662f\u5408\u4f5c\u4e2d\u7814\u7a76\u4eba\u5458\u4e4b\u95f4\u7684\u5dee\u5f02\u7684\u4e0d\u540c\u7684\u7814\u7a76\u7ecf\u5386\u8bc1\u660e\u3002<\/span>\u6211\u4eec\u8fd8\u68c0\u67e5\u7ec4\u95f4\u901a\u8fc7\u5e94\u7528\u65b0\u65b9\u6cd5\u57fa\u4e8e\u5728\u591a\u4e2a\u56e2\u961f\u53c2\u4e0e\u534f\u4f5c\u7f51\u7edc\u4e2d\u7684\u6d3b\u6027\u548c\u975e\u6d3b\u6027\u7684\u7814\u7a76\u4eba\u5458\u8fdb\u884c\u5206\u7c7b\u6df7\u5408\u3002<\/span>\u6211\u4eec\u53d1\u73b0\u5728\u5b66\u4e60\u6210\u7ee9\u548c\u79ef\u6781\u7684\u548c\u975e\u6d3b\u8dc3\u7684\u7814\u7a76\u4eba\u5458\u7684\u7c07\u4e4b\u95f4\u7684\u7ecf\u9a8c\u6307\u6807\u663e\u8457\u5dee\u5f02\uff0c\u63d0\u793a\u7fa4\u4f53\u95f4\u5728\u5b66\u672f\u4e0a\u7684\u6210\u529f\u7684\u4e00\u4e2a\u5173\u952e\u56e0\u7d20\u7684\u6df7\u5408\u3002<\/span>\u6211\u4eec\u7684\u7814\u7a76\u7ed3\u679c\u9610\u660e\u4e86\u5728\u8de8\u5b66\u79d1\u7814\u7a76\u56e2\u961f\u5f62\u6210\u7684\u6027\u8d28\uff0c\u4ee5\u53ca\u5f3a\u8c03\u8de8\u5b66\u79d1\u8bfe\u7a0b\u7684\u91cd\u8981\u6027\u3002<\/span><\/section>\n

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    2019-nCoV\u7206\u53d1\u7684\u65f6\u95f4<\/strong><\/span><\/p>\n

    \u5ef6\u8fdf\u52a8\u529b\u5b66\u6a21\u578b\u4e0e\u53c2\u6570\u8fa8\u8bc6<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/p>\n

    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/section>\n
    <\/span> A Time Delay Dynamical Model for Outbreak of 2019-nCoV and the Parameter Identification<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    <\/span>http:\/\/arxiv.org\/abs\/2002.00418<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span> <\/span><\/strong><\/section>\n
    Yu Chen, Jin<\/span> Cheng, Yu Jiang, Keji Liu<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong> \u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u4e2a\u65b0\u7684\u5e26\u65f6\u95f4\u5ef6\u8fdf\u7684\u52a8\u529b\u7cfb\u7edf\u6765\u523b\u753b2019-nCoV\u5728\u4e2d\u56fd\u7684\u7206\u53d1\u3002<\/span>\u8fd9\u79cd\u6d41\u884c\u75c5\u7684\u4e00\u4e2a\u5178\u578b\u7279\u5f81\u662f\uff0c\u5b83\u53ef\u4ee5\u5728\u6f5c\u4f0f\u671f\u4f20\u64ad\uff0c\u8fd9\u53ef\u4ee5\u901a\u8fc7\u5fae\u5206\u65b9\u7a0b\u7684\u65f6\u95f4\u5ef6\u8fdf\u8fc7\u7a0b\u63cf\u8ff0\u3002<\/span>\u5206\u7c7b\u4eba\u7fa4\u7684\u7d2f\u8ba1\u6570\u4f5c\u4e3a\u53d8\u91cf\uff0c\u8fd9\u4e0e\u5b98\u65b9\u6570\u636e\u4e00\u81f4\u4e14\u6709\u5229\u4e8e\u53c2\u6570\u8bc6\u522b\u3002<\/span>\u7814\u7a76\u7ed9\u51fa\u4e86\u7528\u4e8e2019-nCoV\u7206\u53d1\u9884\u6d4b\u548c\u53c2\u6570\u8bc6\u522b\u7684\u6570\u503c\u65b9\u6cd5\uff0c\u6570\u503c\u7ed3\u679c\u8868\u660e\uff1a<\/span>\u65b0\u7684\u52a8\u529b\u7cfb\u7edf\u53ef\u4ee5\u5f88\u597d\u5730\u9884\u6d4b\u8fc4\u4eca\u4e3a\u6b62\u7684\u7206\u53d1\u8d8b\u52bf\u3002<\/span>\u57fa\u4e8e\u6570\u503c\u6a21\u62df\uff0c\u6211\u4eec\u5efa\u8bae\u5e94\u7531\u653f\u5e9c\u91c7\u7528\u9ad8\u9694\u79bb\u7387\u4e25\u683c\u63a7\u5236\u4e2a\u4f53\u79fb\u52a8\u3002<\/span><\/section>\n

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    \u54ea\u4e2a\u662f\u4f60\u6700\u559c\u6b22\u7684<\/strong><\/span><\/p>\n

    \u97f3\u4e50\u98ce\u683c\uff1fFacebook\u7684<\/strong><\/span><\/p>\n

    \u6570\u636e\u548c\u8c03\u67e5\u6570\u636e\u7684\u6709\u6548\u6027\u6bd4\u8f83<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/section>\n<\/h3>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span> <\/span><\/strong><\/section>\n
    Which is your favorite music genre? A validity comparison of Facebook data and survey data<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    <\/span>http:\/\/arxiv.org\/abs\/2002.00501<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span> <\/span><\/strong><\/section>\n
    Zolt\u00e1n Kmetty, Ren\u00e1ta N\u00e9meth<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong> \u6211\u4eec\u7814\u7a76\u7684\u76ee\u7684\u662f\uff0c\u5728\u8c03\u67e5\u548cFacebook\u6570\u636e\u7684\u60c5\u51b5\u4e0b\u51fa\u73b0\u7684\u4e24\u4e2a\u65b9\u6cd5\u7684\u6709\u6548\u6027\u95ee\u9898\u3002<\/span>\u6211\u4eec\u8fdb\u884c\u4e86\u65b0\u7684\u5e76\u884c\u6570\u636e\u91c7\u96c6\u65b9\u6cd5\uff0c\u4ee5\u524d\u5f88\u5c11\u4f7f\u7528\uff0c\u5b83\u7ed3\u5408\u4e86\u9762\u5bf9\u9762\u7684\u9762\u5bf9\u9762\u8c03\u67e5\u4e0e\u4e2a\u4ebaFB\u6570\u636e\u6863\u6848\u7684\u6536\u96c6\u3002<\/span>\u6211\u4eec\u53d1\u73b0\u4f7f\u7528\u8fd9\u4e9b\u66ff\u4ee3\u6570\u636e\u6e90\u4e00\u8d77\u7684\u7814\u7a76\u6f5c\u529b\u3002<\/span>\u6211\u4eec\u8868\u660e\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u4ea4\u53c9\u9a8c\u8bc1\u76f8\u4e92\u4e24\u4e2a\u6570\u636e\u6e90\u514b\u670d\u4e86\u4e00\u4e9b\u6709\u6548\u7684\u95ee\u9898\u3002<\/span>\u6211\u4eec\u8fd8\u8868\u660e\uff0c\u5982\u679c\u4e0e\u7528\u6237\uff0c\u800c\u4e0d\u662f\u516c\u53f8\u7684\u7814\u7a76\u5458\u9886\u57df\u5c55\u5f00\u5408\u4f5c\uff0c\u5e76\u5f97\u5230\u7528\u6237\u7684\u793e\u4ea4\u5a92\u4f53\u6570\u636e\u7684\u4e00\u90e8\u5206\u5b58\u6863\u63a5\u5165\uff0c\u793e\u4ea4\u5a92\u4f53\u6570\u636e\u7684\u7a00\u5316\u95ee\u9898\u88ab\u6d88\u9664\u3002<\/span>\u6211\u4eec\u9009\u62e9\u7684\u4e3b\u9898\u662f\u97f3\u4e50\u7684\u5174\u8da3\uff0c\u6587\u5316\u793e\u4f1a\u5b66\u7684\u4e00\u4e2a\u5173\u952e\u6307\u6807\u3002<\/span>\u636e\u6211\u4eec\u6240\u77e5\uff0c\u76ee\u524d\u5728\u5176\u4efb\u4f55\u4eba\u53e3\u88abFacebook\u5f52\u7c7b\u4e3a\u5e7f\u544a\u5ba2\u6237\u4e3a\u6709\u5fd7\u4e8e\u97f3\u4e50\u98ce\u683c\uff0c\u6216\u81ea\u62a5\u7684\u5174\u8da3\uff0c\u6570\u5b57\u8868\u793a\u6709\u5174\u8da3\u548c\u5e7f\u544a\u7684\u5174\u8da3\u7c7b\u522b\u4e4b\u95f4\u7684\u5173\u7cfb\u4e0a\u7387\u6ca1\u6709\u4ee5\u524d\u7684\u7814\u7a76\u3002<\/span>\u68c0\u6d4b\u7279\u5b9a\u7c7b\u578b\u6d4b\u91cf\u8fd9\u4e9b\u4e0d\u540c\u7684\u65b9\u5f0f\u65f6\u8868\u73b0\u51fa\u663e\u8457\u4e0d\u540c\u7684\u56fe\u7247\u3002<\/span>\u6211\u4eec\u4e5f\u7814\u7a76\u4e86FB\u7528\u6237\u97f3\u4e50\u7684\u5174\u8da3\u52a8\u6001\u6a21\u5f0f\u3002<\/span>\u6211\u4eec\u5e0c\u671b\u6211\u4eec\u7684\u6570\u636e\u6536\u96c6\u65b9\u6cd5\u548c\u63d0\u51fa\u6709\u6548\u7684\u65b9\u6cd5\u5c06\u5f00\u59cb\u5728\u793e\u4f1a\u79d1\u5b66\u7684\u6570\u5b57\u6570\u636e\u7814\u7a76\u672a\u6765\u7684\u5bf9\u8bdd\u3002<\/span><\/section>\n

    \n
    <\/span>
    <\/section>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u6d4b\u91cf\u5d4c\u5957\u7ed3\u6784\uff1a<\/strong><\/span><\/p>\n

    \u4e0d\u540c\u5ea6\u91cf\u8868\u73b0\u7684\u6bd4\u8f83\u7814\u7a76<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/section>\n<\/h3>\n

    \n
    <\/span><\/section>\n<\/h3>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/section>\n
    <\/span> Measuring Nestedness: A comparative study of the performance of different metrics<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/section>\n
    <\/span>http:\/\/arxiv.org\/abs\/2002.00534<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong> <\/span><\/section>\n
    Claudia Payrato-Borras, Laura Hernandez, Yamir Moreno<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/span> <\/span><\/strong>\u5d4c\u5957\u6027\u662f\u81ea\u7136\u7684\u4e92\u60e0\u793e\u533a\u666e\u904d\u89c2\u5bdf\u5230\u76f8\u4e92\u4f5c\u7528\u7f51\u7edc\u7684\u5c5e\u6027\u3002<\/span>\u5c3d\u7ba1\u5728\u8fd9\u4e2a\u6a21\u5f0f\u7684\u5e7f\u6cdb\u5173\u6ce8\uff0c\u6ca1\u6709\u8fbe\u6210\u5171\u8bc6\u5b58\u5728\u5173\u4e8e\u5982\u4f55\u8861\u91cf\u5b83\u3002<\/span>\u53d6\u800c\u4ee3\u4e4b\u7684\u662f\uff0c\u51e0\u4e2a\u5ea6\u91cf\u9488\u5bf9\u91cf\u5316\u5d4c\u5957\u6027\u7684\u57fa\u7840\u4e0a\uff0c\u7f51\u7edc\u7684\u4e0d\u540c\uff0c\u4f46\u4e0d\u4e00\u5b9a\u662f\u72ec\u7acb\u7684\u7279\u6027\uff0c\u5e76\u5b58\u5728\u6587\u732e\u4e2d\u6a21\u7cca\u7684\u751f\u6001\u7cfb\u7edf\u4e4b\u95f4\u7684\u6bd4\u8f83\u3002<\/span>\u5728\u8fd9\u9879\u5de5\u4f5c\u4e2d\uff0c\u6211\u4eec\u63d0\u51fa\u7684\u516d\u79cd\u6d41\u884c\u5d4c\u5957\u6027\u6307\u6807\u7684\u884c\u4e3a\u7684\u8be6\u7ec6\u6279\u5224\u6027\u7814\u7a76\u548c\u5176\u4e2d\u7684\u4e24\u4e2a\u53d8\u4f53\u3002<\/span>\u4e3a\u4e86\u8bc4\u4f30\u4ed6\u4eec\u7684\u8868\u73b0\uff0c\u6211\u4eec\u6bd4\u8f83\u5f97\u5230\u5927\u96c6\u5f53\u4e2d\uff0c\u5e76\u4e0e\u6700\u5927\u71b5\u548c\u6700\u5927\u4f3c\u7136\u7a7a\u6a21\u578b\u5b9e\u9645\u7f51\u7edc\u4e2d\u7684\u5d4c\u5957\u7ed3\u6784\u7684\u503c\u3002<\/span>\u6211\u4eec\u7684\u7814\u7a76\u7ed3\u679c\u6307\u51fa\uff0c\u9996\u5148\uff0c\u8be5\u6307\u6807\u4e0d\u7f51\u7edc\u6392\u540d\u7684\u5d4c\u5957\u7ed3\u6784\u7684\u7a0b\u5ea6\u666e\u904d\u3002<\/span>\u6b64\u5916\uff0c\u4e00\u4e9b\u6307\u6807\u663e\u793a\u5728\u8003\u8651\u7f51\u7edc\u6027\u80fd\u663e\u8457\u4e0d\u5fc5\u8981\u7684\u4f9d\u8d56\u3002<\/span>\u8fd9\u4e9b\u76f8\u5173\u7684\u7814\u7a76\u53ef\u4ee5\u8ba9\u6211\u4eec\u4e86\u89e3\u4e00\u4e9b\u5d4c\u5957\u7ed3\u6784\u7684\u5b9e\u9645\u503c\u548c\u5e73\u5747\u503c\u7a7a\u6a21\u578b\u4e4b\u95f4\u7684\u7cfb\u7edf\u8f6c\u53d8\u7684\u3002<\/span>\u672c\u6587\u65e8\u5728\u4e3a\u8bfb\u8005\u63d0\u4f9b\u5173\u4e8e\u5982\u4f55\u6d4b\u91cf\u5d4c\u5957\u6027\u7684\u6a21\u4f53\uff0c\u901a\u8fc7\u89e3\u91ca\u7684\u516d\u4e2a\u6807\u51c6\u5ea6\u91cf\u548c\u4e24\u4e2a\u5b83\u7684\u53d8\u4f53\u7684\u529f\u80fd\uff0c\u7136\u540e\u62ab\u9732\u5176\u8d28\u91cf\u548c\u7f3a\u9677\u7684\u5173\u952e\u6307\u5357\u3002<\/span>\u901a\u8fc7\u8fd9\u6837\u505a\uff0c\u6211\u4eec\u4e5f\u81f4\u529b\u4e8e\u6269\u5c55\u57fa\u4e8e\u6700\u5927\u71b5\u751f\u6001\u7f51\u7edc\u8fd8\u662f\u5f88\u5927\u7684\u672a\u5f00\u53d1\u533a\u57df\u6700\u8fd1\u63d0\u51fa\u7684\u7a7a\u6a21\u578b\u7684\u5e94\u7528\u3002<\/span>\u6700\u540e\uff0c\u4ee5\u8865\u5145\u6307\u5bfc\uff0c\u6211\u4eec\u63d0\u4f9b\u4e86\u4e00\u4e2a\u540d\u4e3anullnest\u4e00\u4e2a\u5b8c\u5168\u8bb0\u5f55\u5e93\u91c7\u96c6\u5230\u7684\u4ee3\u7801\u4ea7\u751f\u7a7a\u6a21\u578b\u548c\u8ba1\u7b97\u5d4c\u5957\u6027\u6307\u6570 – \u65e0\u8bba\u662f\u771f\u6b63\u7684\u4ef7\u503c\u548c\u7a7a\u9884\u671f – \u4f7f\u7528\u7684\u7814\u7a76\u6307\u6807\u3002<\/span>\u5b58\u50a8\u5e93\u5305\u542b\uff0c\u800c\u4e14\uff0c\u7a7a\u6a21\u578b\u7684\u4e3b\u8981\u6210\u679c\u5e94\u7528\u4e8e\u5927\u578b\u6570\u636e\u96c6200\u4e2a\u591a\u53cc\u8fb9\u7f51\u7edc\u3002<\/span><\/section>\n

    \n

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

    \n
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    \u5229\u7528\u4ea4\u901a\u7f51\u7edc\u5206\u6790<\/strong><\/span><\/p>\n

    \u4f30\u8ba1\u533a\u57df\u7ecf\u6d4e\u53d1\u5c55\u6307\u6807<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/section>\n<\/h3>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/span> <\/span><\/strong><\/span><\/section>\n
    Estimation of Regional Economic Development Indicator from Transportation Network Analytics<\/span><\/section>\n
    \u5730\u5740\uff1a<\/strong><\/span><\/section>\n
    <\/span>http:\/\/arxiv.org\/abs\/2002.00566<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/strong><\/span> <\/span><\/section>\n
    Bin Li, Song Gao, Yunlei Liang, Yuhao Kang, Timothy Prestby, Yuqi Gao, Runmou Xiao<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/span> <\/span><\/strong>\u968f\u7740\u4e2d\u56fd\u7ecf\u6d4e\u84ec\u52c3\u53d1\u5c55\uff0c\u8bb8\u591a\u7814\u7a76\u90fd\u6307\u51fa\uff0c\u5176\u4ed6\u56e0\u7d20\u4e4b\u95f4\u7684\u533a\u57df\u4ea4\u901a\u57fa\u7840\u8bbe\u65bd\u7684\u6539\u5584\u5bf9\u7ecf\u6d4e\u589e\u957f\u7684\u91cd\u8981\u4f5c\u7528\u3002<\/span>\u5229\u7528\u5927\u89c4\u6a21\u7684\u6570\u636e\u96c6\uff0c\u5176\u4e2d\u5305\u62ec\u8f66\u8f86\u6cbf\u9053\u8def\u6536\u8d39\u7cfb\u7edf\u751f\u6210\u516c\u8def3.5\u5341\u4ebf\u51fa\u5165\u5883\u8bb0\u5f55\uff0c\u6211\u4eec\u8bd5\u56fe\u901a\u8fc7\u4ea4\u901a\u7f51\u7edc\u7684\u5206\u6790\uff0c\u5efa\u7acb\u533a\u57df\u7ecf\u6d4e\u5730\u4f4d\u7684\u4e2d\u8ddd\u79bb\u9646\u5730\u8fd0\u8f93\u6a21\u5f0f\u7684\u76f8\u5173\u6027\u3002<\/span>\u6211\u4eec\u8fd0\u7528\u590d\u6742\u7f51\u7edc\u7684\u6807\u51c6\u6d4b\u91cf\u5206\u6790\u516c\u8def\u8fd0\u8f93\u7f51\u7edc\u3002<\/span>\u4e00\u7ec4\u4ea4\u901a\u6d41\u7279\u6027\u7684\u8ba1\u7b97\u548c\u76f8\u5173\u533a\u57df\u7ecf\u6d4e\u53d1\u5c55\u6307\u6807\u3002<\/span>\u591a\u7ebf\u6027\u56de\u5f52\u6a21\u578b\u5bf9\u57ce\u5e02GDP\u7684\u8de8\u4e09\u7701\u5728\u4e2d\u56fd\u53d8\u5f02\u768489\uff05\u81f396\uff05\u7684\u89e3\u91ca\u3002<\/span>\u91c7\u7528\u8f7f\u8f66\uff0c\u5ba2\u8f66\uff0c\u4ee5\u53ca\u5bf9\u57ce\u5e02\u6bcf\u4e2a\u7701\u5355\u72ec\u4ee5\u53ca\u4e3a\u6574\u4e2a\u6570\u636e\u96c6\u4e4b\u95f4\u7684\u8d27\u8fd0\u5361\u8f66\u7684\u5e74\u4e1a\u52a1\u91cf\u7136\u540e\u6211\u4eec\u914d\u5408\u91cd\u529b\u573a\u6a21\u578b\u3002<\/span>\u6211\u4eec\u53d1\u73b0\uff0c\u5bf9\u4ea4\u901a\u7f51\u7edc\uff0c\u94fe\u63a5\u5230\u6bcf\u4e2a\u7701\u7684\u7ecf\u6d4e\u53d1\u5c55\u6a21\u5f0f\u57ce\u5e02\u4e4b\u95f4\u7684\u7a7a\u95f4\u76f8\u4e92\u4f5c\u7528\u8ddd\u79bb\u8870\u51cf\u6548\u5e94\u968f\u65f6\u95f4\u7684\u53d8\u5316\u3002<\/span>\u6211\u4eec\u7684\u7ed3\u8bba\u662f\u8fd0\u8f93\u5927\u6570\u636e\u63ed\u793a\u4e86\u533a\u57df\u7ecf\u6d4e\u53d1\u5c55\u7684\u73b0\u72b6\uff0c\u5e76\u5305\u542b\u5bf9\u533a\u57df\u7ba1\u7406\u548c\u89c4\u5212\u4eba\u53e3\u6d41\u52a8\uff0c\u751f\u4ea7\u8054\u7cfb\u548c\u7269\u6d41\u7684\u6709\u4ef7\u503c\u7684\u4fe1\u606f\u3002<\/span>\u6211\u4eec\u7684\u7814\u7a76\u63d0\u4f9b\u4e86\u6d1e\u5bdf\u533a\u57df\u7ecf\u6d4e\u53d1\u5c55\u72b6\u51b5\u91c7\u7528\u516c\u8def\u8fd0\u8f93\u5927\u6570\u636e\u7684\u8c03\u67e5\u3002<\/span><\/section>\n

    \n

    <\/span><\/section>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u542b\u65f6\u591a\u8def\u7f51\u7edc\u7684\u4ecb\u6570\u4e2d\u5fc3\u6027<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/section>\n<\/h3>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span> <\/span><\/section>\n
    Betweenness centrality for temporal multiplexes<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    <\/span>http:\/\/arxiv.org\/abs\/2002.00661<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/span> <\/span><\/strong><\/span><\/section>\n
    Silvia Zaoli, Piero Mazzarisi, Fabrizio Lillo<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong><\/span> \u4e2d\u4ecb\u4e2d\u5fc3\u91cf\u5316\u4e3a\u4e00\u4e2a\u7f51\u7edc\u4e2d\u7684\u4fe1\u606f\u6d41\u9876\u70b9\u7684\u91cd\u8981\u6027\u3002<\/span>\u6211\u4eec\u5efa\u8bae\u4ecb\u7684\u7075\u6d3b\u5b9a\u4e49\u7684\u65f6\u95f4\u590d\u7528\uff0c\u5728\u786e\u5b9a\u7684\u6d4b\u5730\u7ebf\u5360\u62d3\u6251\u548c\u65f6\u95f4\u7ed3\u6784\u548c\u8def\u5f84\u7684\u6301\u7eed\u65f6\u95f4\u3002<\/span>\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u4e2a\u7b97\u6cd5\u6765\u8ba1\u7b97\u901a\u8fc7\u6620\u5c04\u65b0\u7684\u5ea6\u91cf\u9759\u6001\u56fe\u3002<\/span>\u6211\u4eec\u53d1\u73b0\u8003\u8651\u65f6\u95f4\u590d\u7528\u7ed3\u6784\u548c\u9002\u5f53\u7684\u8ddd\u79bb\u5ea6\u91cf\u6bd4\u8f83\u4e0a\u7684 \u5361 20\u0137\u6b27\u6d32\u822a\u73ed\u7684\u6570\u636e\u96c6\u9759\u6001\u6216\u5355\u5c42\u6307\u6807\u5f97\u5230\u7684\u7ed3\u679c\u7684\u91cd\u8981\u6027\u3002<\/span><\/section>\n

    <\/span><\/section>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u4f7f\u7528\u6709\u9650\u7684\u4ea4\u4e92\u5f71\u54cd\u7f51\u7edc\u8206\u8bba\u52a8\u6001<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/span><\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/span> <\/span><\/strong><\/span><\/section>\n
    Influencing Opinion Dynamics in Networks with Limited Interaction<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    <\/span>http:\/\/arxiv.org\/abs\/2002.00664<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/span> <\/span><\/strong><\/span><\/section>\n
    Anmol Gupta, Sharayu Moharir, Neeraja Sahasrabudhe<\/span><\/section>\n

    <\/span><\/strong><\/section>\n
    \u6458\u8981\uff1a<\/span><\/span> <\/span><\/strong>\u8fd9\u9879\u5de5\u4f5c\u7684\u91cd\u70b9\u662f\u8bbe\u8ba1\u5f71\u54cd\u7684\u6218\u7565\u6765\u5851\u9020\u4e2a\u4eba\u7684\u7f51\u7edc\u7684\u96c6\u4f53\u610f\u89c1\u3002<\/span>\u6211\u4eec\u8ba4\u4e3a\u9009\u6c11\u6a21\u578b\uff0c\u5176\u4e2d\u610f\u89c1\u5728\u4ee5\u4e0b\u4e24\u79cd\u65b9\u5f0f\u4e4b\u4e00\u53d1\u5c55\u7684\u4e00\u4e2a\u53d8\u79cd\u3002<\/span>\u5728\u6ca1\u6709\u5916\u90e8\u5f71\u54cd\uff0c\u610f\u89c1\u7ecf\u7531\u5728\u7f51\u7edc\u4e2d\u7684\u4e2a\u4eba\u4e4b\u95f4\u7684\u76f8\u4e92\u4f5c\u7528\u6f14\u53d8\uff0c\u800c\u5728\u5916\u754c\u7684\u5f71\u54cd\u7684\u5b58\u5728\uff0c\u610f\u89c1\u5728\u901a\u8fc7\u5f71\u54cd\u8005\u4f18\u9009\u7684\u65b9\u5411\u4e0a\u79fb\u52a8\u3002<\/span>\u6211\u4eec\u4e13\u6ce8\u4e8e\u4e00\u4e2a\u6709\u9650\u7684\u65f6\u95f4\u8303\u56f4\u548c\u5f71\u54cd\u6218\u7565\u7684\u7279\u70b9\u662f\uff0c\u5f53\u5b83\u53d1\u6325\u5728\u8003\u8651\u5230\u5176\u9884\u7b97\u7ea6\u675f\u8fd9\u4e2a\u65f6\u95f4\u8303\u56f4\u7684\u5f71\u54cd\u3002<\/span>\u5728\u8fd9\u4e2a\u610f\u89c1\u52a8\u529b\u5b66\u6a21\u578b\u5728\u6b64\u4e4b\u524d\u7684\u5de5\u4f5c\u5047\u8bbe\u4e2a\u4f53\u8003\u8651\u5230\u7f51\u7edc\u4e2d\u7684\u6240\u6709\u4e2a\u4eba\u7684\u610f\u89c1\u3002<\/span>\u6211\u4eec\u6982\u62ec\u8fd9\u4e00\u70b9\uff0c\u5e76\u8003\u8651\u73af\u5883\uff0c\u8ba9\u4e2a\u4eba\u7684\u610f\u89c1\u6f14\u5316\u4f9d\u8d56\u4e8e\u4ece\u7f51\u7edc\u8206\u8bba\u7684\u6709\u9650\u96c6\u5408\u3002<\/span>\u6211\u4eec\u523b\u753b\u7684\u6700\u4f73\u5f71\u54cd\u6218\u7565\u7684\u6027\u8d28\u5728\u5176\u4e2d\u5f62\u6210\u8fd9\u4e2a\u96c6\u5408\u7684\u610f\u89c1\u7684\u65b9\u5f0f\u7684\u529f\u80fd\u3002<\/span><\/section>\n

    \n

    <\/span><\/section>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u7531\u5b63\u8282\u6027\u6d41\u611f\u5f15\u8d77\u7684<\/strong><\/span><\/p>\n

    \u884c\u4e3a\u53d8\u5316\u7684\u6570\u636e\u9a71\u52a8\u7684\u7279\u5f81<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/section>\n<\/h3>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span> <\/span><\/section>\n
    Towards a data-driven characterization of behavioral changes induced by the seasonal flu<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    <\/span>http:\/\/arxiv.org\/abs\/2002.00671<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/span> <\/span><\/strong><\/span><\/section>\n
    Nicol\u00f2 Gozzi, Daniela Perrotta, Daniela Paolotti, Nicola Perra<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/span> <\/span><\/strong>\u5728\u8fd9\u9879\u5de5\u4f5c\u4e2d\uff0c\u6211\u4eec\u7684\u76ee\u6807\u662f\u786e\u5b9a\u5b63\u8282\u6027\u6d41\u611f\u671f\u95f4\u9a7e\u9a76\u884c\u4e3a\u53d8\u5316\u7684\u4e3b\u8981\u56e0\u7d20\u3002<\/span>\u4e3a\u6b64\uff0c\u6211\u4eec\u5206\u6790\u4e86\u7531599\u4e2a\u8c03\u67e5\u671f\u95f4\uff0c2017  –  18\u548c2018-19\u8d5b\u5b63\u7684434\u4e2aInfluweb\uff0c\u7f51\u7edc\u5e73\u53f0\u53c2\u4e0e\u76d1\u7763\uff0c\u610f\u5927\u5229\u7528\u6237\u5b8c\u6210\u4e86\u4e00\u4e2a\u72ec\u7279\u7684\u6570\u636e\u96c6\u3002<\/span>\u8fd9\u4e9b\u6570\u636e\u63d0\u4f9b\u4e86\u793e\u4f1a\u4eba\u53e3\u7684\u4fe1\u606f\uff0c\u5173\u4e8e\u6d41\u611f\uff0c\u8fc7\u53bb\u4e0e\u75be\u75c5\u7684\u7ecf\u9a8c\uff0c\u4ee5\u53ca\u6bcf\u4e2a\u53c2\u4e0e\u8005\u5b9e\u73b0\u7684\u884c\u4e3a\u6539\u53d8\u7c7b\u578b\u7684\u5173\u6ce8\u7a0b\u5ea6\u3002<\/span>\u6211\u4eec\u63cf\u8ff0\u4e86\u4e00\u7ec4\u529f\u80fd\uff0c\u6bcf\u4e2a\u54cd\u5e94\u548c\u4e09\u4e2a\u76ee\u6807\u7c7b\u522b\u5212\u5206\u4ed6\u4eec\u3002<\/span>\u8fd9\u4e9b\u63cf\u8ff0\u7684\u90a3\u4e9b\u62a5\u544a\u2170\uff09\u65e0\uff0826\uff05\uff09\uff0c\u2171\uff09\u4ec5\u9002\u5ea6\uff0836\uff05\uff09\uff0c\u2172\uff09\u663e\u8457\uff0838\uff05\uff09\u53d8\u5316\u7684\u884c\u4e3a\u3002<\/span>\u5728\u8fd9\u4e9b\u60c5\u51b5\u4e0b\uff0c\u6211\u4eec\u91c7\u7528\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u7814\u7a76\uff0c\u5176\u76ee\u6807\u53d8\u91cf\u53ea\u80fd\u7531\u5728\u8be5\u7ec4\u7279\u5f81\u5bfb\u627e\u9884\u6d4b\u7684\u7a0b\u5ea6\u3002<\/span>\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0c 66 \uff05\uff0c\u5728\u7c7b\u522b\u63cf\u8ff0\u7684\u884c\u4e3a\u66f4\u663e\u8457\u53d8\u5316\u6837\u54c1\u7684\u901a\u8fc7\u68af\u5ea6\u63d0\u632f\u6811\u6728\u6b63\u786e\u5206\u7c7b\u3002<\/span>\u6b64\u5916\uff0c\u6211\u4eec\u8c03\u67e5\u7684\u5206\u7c7b\u4efb\u52a1\uff0c\u63ed\u5f00\u4e2a\u4eba\u7279\u70b9\u4ee5\u53ca\u4ed6\u4eec\u5bf9\u884c\u4e3a\u6001\u5ea6\u7684\u53d8\u5316\u4e4b\u95f4\u7684\u590d\u6742\u5173\u7cfb\u5404\u8981\u7d20\u7684\u91cd\u8981\u6027\u3002<\/span>\u6211\u4eec\u53d1\u73b0\u8fc7\u53bb\u60a3\u75c5\u7684\u90a3\u79cd\u5f3a\u5ea6\uff0c\u65b0\u65e7\u7a0b\u5ea6\uff0c\u611f\u77e5\u654f\u611f\u6027\u548c\u611f\u89c9\u4e25\u91cd\u7a0b\u5ea6\u8bc4\u7ea7\u7684\u611f\u67d3\u662f\u5728\u5206\u7c7b\u4efb\u52a1\u7684\u6700\u663e\u8457\u7684\u7279\u70b9\u3002<\/span>\u6709\u8da3\u7684\u662f\uff0c\u6700\u540e\u4e24\u4e2a\u5339\u914d\u7684\u5065\u5eb7\u4fe1\u5ff5\u6a21\u5f0f\u63d0\u51fa\u7684\u7406\u8bba\u5efa\u6784\u3002<\/span>\u603b\u4e4b\uff0c\u7814\u7a76\u6709\u52a9\u4e8e\u5c0f\u5957\u5b9e\u8bc1\u7814\u7a76\u7684\u4e13\u95e8\u7684\u4f20\u67d3\u75c5\u5f15\u8d77\u7684\u884c\u4e3a\u53d8\u5316\u7684\u6570\u636e\u9a71\u52a8\u7684\u7279\u5f81\u3002<\/span><\/section>\n

    \n

    <\/span><\/section>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u901a\u8fc7\u79d1\u5b66\u6587\u732e\u5f15\u7528\u5ea6\u91cf<\/strong><\/span><\/p>\n

    \u5730\u7406\u63a5\u8fd1\u6027\u5728\u77e5\u8bc6\u4f20\u64ad\u4e2d\u7684\u4f5c\u7528<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/section>\n<\/h3>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/span> <\/span><\/strong><\/span><\/section>\n
    The role of geographic proximity in knowledge diffusion, measured by citations to scientific literature<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    <\/span>http:\/\/arxiv.org\/abs\/2002.00742<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/span> <\/span><\/strong><\/span><\/section>\n
    Giovanni Abramo, Ciriaco Andrea D\u2019Angelo, Flavia Di Costa<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/span> <\/span><\/strong>\u672c\u6587\u5206\u6790\u5730\u7406\u8ddd\u79bb\u7684\u77e5\u8bc6\u6d41\u52a8\uff0c\u901a\u8fc7\u5f15\u7528\u79d1\u5b66\u51fa\u7248\u7269\u6d4b\u91cf\u7684\u5f71\u54cd\u3002<\/span>\u4f7f\u7528\u76f8\u540c\u7684\u65b9\u6cd5\u4e4b\u524d\u7684\u4f5c\u54c1\u4ec5\u9650\u4e8e\u5355\u4e00\u7684\u5b66\u79d1\u3002<\/span>\u5728\u8fd9\u9879\u7814\u7a76\u4e2d\uff0c\u6211\u4eec\u5206\u6790\u4e86\u57282010  –  2012\u5e74\u671f\u95f4\u5230\u671f\u7684\u6240\u6709\u5b66\u79d1\u610f\u5927\u5229\u79d1\u5b66\u751f\u4ea7\u3002<\/span>\u4e3a\u4e86\u8ba1\u7b97\u5f15\u7528\u548c\u5f15\u7528\u7684\u51fa\u7248\u7269\u4e4b\u95f4\u7684\u5730\u7406\u8ddd\u79bb\uff0c\u6bcf\u4e00\u4e2a\u4e0e\u4f5c\u8005\u7684\u96b6\u5c5e\u5173\u7cfb\u7684\u57fa\u7840\u4e0a\uff0c\u201c\u666e\u904d\u7684\u201d\u9886\u571f\u76f8\u5173\u3002<\/span>\u5f15\u529b\u6a21\u578b\u7684\u5e94\u7528\u7684\u7ed3\u679c\uff0c\u91c7\u7528\u666e\u901a\u6700\u5c0f\u4e8c\u4e58\u56de\u5f52\u4f30\u8ba1\u8868\u660e\uff0c\u5c3d\u7ba1IT\u7684\u4f20\u64ad\uff0c\u5730\u7406\u8ddd\u79bb\u4ecd\u662f\u5730\u533a\u4e4b\u95f4\u5728\u77e5\u8bc6\u7684\u8fc7\u7a0b\u4e2d\u7684\u5f71\u54cd\u56e0\u7d20\u6d41\u52a8\u3002<\/span>\u7279\u522b\u662f\uff0c\u5206\u6790\u8868\u660e\uff0c\u5728\u77e5\u8bc6\u6d41\u52a8\u5730\u7406\u8ddd\u79bb\u7684\u5f71\u54cd\u662f\u5728\u6d32\u9645\u7ea7\u522b\u5728\u56fd\u5bb6\u4e00\u7ea7\u663e\u8457\uff0c\u5728\u5927\u9646\u4e00\u7ea7\u4e0d\u5bb9\u5ffd\u89c6\u7684\uff0c\u4f46\u5b8c\u5168\u4e0d\u76f8\u5e72\u3002<\/span><\/section>\n

    \n

    <\/span><\/section>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u4e24\u8def\u5f84\u6df1\u5ea6\u534a\u76d1\u7763<\/strong><\/span><\/p>\n

    \u5b66\u4e60\u7528\u4e8e\u5373\u65f6\u5047\u65b0\u95fb\u68c0\u6d4b<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/section>\n<\/h3>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/span> <\/span><\/strong><\/span><\/section>\n
    Two-path Deep Semi-supervised Learning for Timely Fake News Detection<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    <\/span>http:\/\/arxiv.org\/abs\/2002.00763<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span> <\/span><\/section>\n
    Xishuang Dong, Uboho Victor, Lijun Qian<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong><\/span> \u5728\u793e\u4ea4\u5a92\u4f53\u5982Twitter\u6d88\u606f\u5df2\u7ecf\u5728\u9ad8\u5bb9\u91cf\u548c\u901f\u5ea6\u5df2\u7ecf\u4ea7\u751f\u3002<\/span>\u7136\u800c\uff0c\u5f88\u5c11\u6709\u4eba\u88ab\u6807\u8bb0\uff08\u5982\u5047\u6216\u771f\u65b0\u95fb\uff09\u5728\u8fd1\u5b9e\u65f6\u7684\u4e13\u4e1a\u4eba\u58eb\u3002<\/span>\u4e3a\u4e86\u5b9e\u73b0\u5728\u793e\u4f1a\u5a92\u4f53\u7684\u5047\u65b0\u95fb\u53ca\u65f6\u53d1\u73b0\uff0c\u4e00\u79cd\u65b0\u578b\u7684\u4e24\u8def\u6df1\u534a\u76d1\u7763\u5b66\u4e60\u7684\u6846\u67b6\uff0c\u63d0\u51fa\u4e86\u5176\u4e2d\u4e00\u4e2a\u8def\u5f84\u662f\u76d1\u7763\u5b66\u4e60\uff0c\u53e6\u4e00\u4e2a\u662f\u65e0\u76d1\u7763\u7684\u5b66\u4e60\u3002<\/span>\u5728\u76d1\u7763\u4e0a\u6807\u6ce8\u7684\u6570\u636e\u91cf\u6709\u9650\u7684\u5b66\u4e60\u8def\u5f84\u83b7\u6089\u540c\u65f6\u76d1\u7763\u5b66\u4e60\u8def\u5f84\u662f\u80fd\u591f\u5b66\u4e60\u4e00\u4e2a\u5de8\u5927\u7684\u672a\u6807\u8bb0\u7684\u6570\u636e\u91cf\u3002<\/span>\u6b64\u5916\uff0c\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08CNN\uff09\u5b9e\u73b0\u8fd9\u4e24\u6761\u8def\u5f84\u88ab\u8054\u5408\u4f18\u5316\uff0c\u4ee5\u5b8c\u6210\u534a\u76d1\u7763\u5b66\u4e60\u3002<\/span>\u6b64\u5916\uff0c\u6211\u4eec\u5efa\u7acb\u4e86\u4e00\u4e2a\u5171\u4eabCNN\u4ee5\u63d0\u53d6\u5728\u4e24\u4e2a\u6807\u8bb0\u7684\u6570\u636e\u548c\u672a\u6807\u8bb0\u6570\u636e\u4f4e\u7535\u5e73\u7279\u5f81\u5c06\u5b83\u4eec\u9988\u9001\u5230\u8fd9\u4e24\u6761\u8def\u5f84\u3002<\/span>\u4e3a\u4e86\u9a8c\u8bc1\u8fd9\u4e00\u6846\u67b6\u4e0b\uff0c\u6211\u4eec\u5b9e\u73b0\u4e86\u4e00\u4e2a\u57fa\u4e8e\u5b57CNN\u534a\u76d1\u7763\u5b66\u4e60\u6a21\u578b\u548c\u6d4b\u8bd5\u5b83\u4e24\u4e2a\u6570\u636e\u96c6\uff0c\u5373\u9a97\u5b50PHEME\u3002<\/span>\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0c\u5efa\u7acb\u5728\u62df\u8bae\u7684\u6846\u67b6\u6a21\u578b\u53ef\u4ee5\u7528\u5f88\u5c11\u7684\u6807\u8bb0\u6570\u636e\u6709\u6548\u8bc6\u522b\u5047\u65b0\u95fb\u3002<\/span><\/section>\n

    \n

    <\/span><\/section>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u67e5\u627e\u7b26\u53f7\u7f51\u7edc\u5927\u578b\u5747\u8861\u5b50\u56fe<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/section>\n<\/h3>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span> <\/span><\/section>\n
    Finding large balanced subgraphs in signed networks<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    <\/span>http:\/\/arxiv.org\/abs\/2002.00775<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/span> <\/span><\/strong><\/span><\/section>\n
    Bruno Ordozgoiti, Antonis Matakos, Aristides Gionis<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong><\/span> \u7b7e\u8ba2\u7f51\u7edc\u662f\u56fe\u8868\uff0c\u5176\u8fb9\u90fd\u6807\u6709\u6b63\u6216\u8d1f\u53f7\uff0c\u5e76\u53ef\u4ee5\u7531\u4ed6\u4eec\u7684\u65e0\u7b26\u53f7\u5bf9\u5e94\u9519\u8fc7\u7684\u4e92\u52a8\u6765\u6355\u6349\u7ec6\u5fae\u5dee\u522b\u3002<\/span>\u5728\u7b7e\u7f72\u56fe\u8bba\u5e73\u8861\u7684\u6982\u5ff5\u786e\u5b9a\u7f51\u7edc\u662f\u5426\u53ef\u88ab\u5212\u5206\u6210\u4e24\u4e2a\u76f8\u5bf9\u7684\u5b8c\u7f8e\u5b50\u96c6\uff0c\u5e76\u4e14\u56e0\u6b64\u5bf9\u4e8e\u5efa\u6a21\u7684\u73b0\u8c61\uff0c\u4f8b\u5982\u5728\u793e\u4f1a\u7f51\u7edc\u504f\u632f\u793e\u533a\u7684\u5b58\u5728\u662f\u6709\u7528\u7684\u3002<\/span>\u867d\u7136\u786e\u5b9a\u56fe\u662f\u5426\u5e73\u8861\u5f88\u5bb9\u6613\uff0c\u627e\u5230\u4e00\u4e2a\u5e73\u8861\u5927\u5b50\u662f\u5f88\u96be\u7684\u3002<\/span>\u5728\u6587\u732e\u4e2d\u7528\u4e8e\u6b64\u76ee\u7684\u63d0\u4f9b\u7684\u51e0\u4e2a\u542f\u53d1\u5f0f\u662f\u65e0\u6548\u6216\u4e0d\u53ef\u6269\u5c55\u3002<\/span>\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u5728\u7b7e\u8ba2\u7f51\u7edc\u5bfb\u627e\u5927\u5e73\u8861\u5b50\u56fe\u7684\u9ad8\u6548\u7b97\u6cd5\u3002<\/span>\u8be5\u7b97\u6cd5\u4f9d\u8d56\u4e8e\u7b7e\u540d\u8c31\u7406\u8bba\u548c\u5f00\u5f80\u56fe\u62c9\u666e\u62c9\u65af\u7684\u6270\u52a8\u7684\u5c0f\u8bf4\u3002<\/span>\u5728\u5404\u79cd\u5404\u6837\u7684\u73b0\u5b9e\u4e16\u754c\u7684\u6570\u636e\u5b9e\u9a8c\u8868\u660e\uff0c\u6211\u4eec\u7684\u7b97\u6cd5\u53ef\u4ee5\u627e\u5230\u5e73\u8861\u5b50\u56fe\u6bd4\u73b0\u6709\u65b9\u6cd5\u68c0\u6d4b\u5927\u5f97\u591a\uff0c\u6b64\u5916\uff0c\u5b83\u662f\u901f\u5ea6\u66f4\u5feb\u3002<\/span>\u6211\u4eec\u6d4b\u8bd5\u5176\u5728\u591a\u8fbe3400\u4e07\u4e2a\u7684\u8fb9\u66f2\u7ebf\u7684\u53ef\u6269\u5c55\u6027\u3002<\/span><\/section>\n

    \n
    <\/span>
    <\/section>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u751f\u59dc\u4e0d\u80fd\u6cbb\u6108\u764c\u75c7\uff1a\u4f7f\u7528<\/strong><\/span><\/p>\n

    \u7efc\u5408\u6570\u636e\u5b58\u50a8\u5e93\u5bf9\u6297\u865a\u5047\u5065\u5eb7\u65b0\u95fb<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/section>\n<\/h3>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span> <\/span><\/section>\n
    Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data Repository<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2002.00837<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/span> <\/span><\/span><\/strong><\/section>\n
    Enyan D<\/span>ai, Yiwei Sun, Suhang Wang<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong><\/span> \u5982\u4eca\uff0c\u4e92\u8054\u7f51\u662f\u83b7\u5f97\u5065\u5eb7\u4fe1\u606f\u7684\u4e3b\u8981\u6765\u6e90\u3002<\/span>\u8fd9\u662f\u5728\u4e92\u8054\u7f51\u4e0a\u4f20\u64ad\u5927\u91cf\u7684\u5047\u5065\u5eb7\u65b0\u95fb\uff0c\u5df2\u6210\u4e3a\u5bf9\u516c\u4f17\u5065\u5eb7\u6784\u6210\u4e86\u4e25\u91cd\u5a01\u80c1\u3002<\/span>\u5927\u91cf\u7684\u7814\u7a76\u548c\u7814\u7a76\u5de5\u4f5c\u5df2\u7ecf\u5728\u5047\u65b0\u95fb\u68c0\u6d4b\u57df\u5df2\u7ecf\u5b8c\u6210\uff0c\u4f46\u662f\uff0c\u5f88\u5c11\u6709\u4eba\u662f\u4e3a\u4e86\u5e94\u4ed8\u5065\u5eb7\u65b0\u95fb\u7684\u6311\u6218\u3002<\/span>\u4f8b\u5982\uff0c\u9700\u8981\u5047\u5065\u5eb7\u65b0\u95fb\u7684\u68c0\u6d4b\u53ef\u89e3\u91ca\u7684\u53d1\u5c55\u3002<\/span>\u4e3a\u4e86\u7f13\u89e3\u8fd9\u4e9b\u95ee\u9898\uff0c\u6211\u4eec\u6784\u5efa\u4e86\u4e00\u4e2a\u5168\u9762\u7684\u8d44\u6599\u5e93\uff0cFakeHealth\uff0c\u5176\u4e2d\u5305\u62ec\u5177\u6709\u4e30\u5bcc\u7684\u529f\u80fd\uff0c\u65b0\u95fb\u5185\u5bb9\uff0c\u65b0\u95fb\u8bc4\u8bba\uff0c\u8be6\u7ec6\u8bf4\u660e\u7406\u7531\uff0c\u5e94\u916c\u548c\u7528\u6237 – \u7528\u6237\u7684\u793e\u4f1a\u7f51\u7edc\u3002<\/span>\u6b64\u5916\uff0c\u63a2\u7d22\u6027\u5206\u6790\u662f\u4e3a\u4e86\u89e3\u6570\u636e\u96c6\u7684\u7279\u70b9\uff0c\u5206\u6790\u6709\u7528\u7684\u6a21\u5f0f\u548c\u9a8c\u8bc1\u6570\u636e\u96c6\u4fdd\u5065\u5047\u65b0\u95fb\u7684\u8d28\u91cf\u68c0\u6d4b\u3002<\/span>\u6211\u4eec\u8fd8\u8ba8\u8bba\u4e86\u5065\u5eb7\u5047\u65b0\u95fb\u7684\u68c0\u6d4b\u65b0\u7684\u548c\u6f5c\u5728\u7684\u672a\u6765\u7684\u7814\u7a76\u65b9\u5411\u3002<\/span><\/section>\n

    \n

    <\/span><\/section>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u4f7f\u7528\u503e\u5411\u8bc4\u5206\u5339\u914d\u63d0\u9ad8<\/strong><\/span><\/p>\n

    \u5047\u65b0\u95fb\u68c0\u6d4b\u65b9\u6cd5\u7684\u4e00\u822c\u6027<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n


    <\/span><\/section>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span> <\/span><\/section>\n
    Improving Generalizability of Fake News Detection Methods using Propensity Score Matching<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2002.00838<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/span> <\/span><\/strong><\/span><\/section>\n
    Bo Ni, Zhichun Guo, Jianing Li, Meng Jiang<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong><\/span> \u6700\u8fd1\uff0c\u7531\u4e8e\u5728\u7ebf\u793e\u4f1a\u7f51\u7edc\u7684\u84ec\u52c3\u53d1\u5c55\u7684\u5f71\u54cd\uff0c\u68c0\u6d4b\u5047\u65b0\u95fb\u662f\u6765\u81ea\u5b66\u672f\u754c\u548c\u516c\u4f17\u62c9\u663e\u8457\u7684\u5173\u6ce8\u3002<\/span>\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u8003\u8651\u6df7\u6742\u5728\u5047\u65b0\u95fb\u548c\u4f7f\u7528\u503e\u5411\u8bc4\u5206\u5339\u914d\uff08PSM\uff09\u7684\u7279\u5f81\u53d8\u91cf\uff0c\u4ee5\u51cf\u5c11\u6df7\u6742\u53d8\u91cf\u7684\u5f71\u54cd\uff0c\u4ee5\u9009\u62e9\u666e\u53ca\u529f\u80fd\u7684\u5b58\u5728\u3002<\/span>\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0c\u5047\u65b0\u95fb\u6cd5\u7684\u666e\u904d\u6027\u663e\u8457\u66f4\u597d\u7684\u662f\u4f7f\u7528PSM\u6bd4\u4f7f\u7528\u539f\u59cb\u9891\u7387\u9009\u62e9\u529f\u80fd\u3002<\/span>\u6211\u4eec\u7814\u7a76\u4e86\u591a\u79cd\u7c7b\u578b\u7684\u5047\u65b0\u95fb\u7684\u65b9\u6cd5\uff08\u5206\u7c7b\uff09\uff0c\u5982\u903b\u8f91\u56de\u5f52\uff0c\u968f\u673a\u68ee\u6797\u548c\u652f\u6301\u5411\u91cf\u673a\u3002<\/span>\u6211\u4eec\u62e5\u6709\u7684\u6027\u80fd\u6539\u8fdb\u4e00\u81f4\u610f\u89c1\u3002<\/span><\/section>\n


    <\/p>\n

    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u5927\u89c4\u6a21\u968f\u673a\u5757\u6a21\u578b\u7684\u968f\u673a\u8c31\u805a\u7c7b<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


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

    \u539f\u6587\u6807\u9898\uff1a<\/span><\/span> <\/span><\/strong><\/span><\/section>\n
    Randomized Spectral Clustering in Large-Scale Stochastic Block Models<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2002.00839<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/span> <\/span><\/strong><\/span><\/section>\n
    Hai Zhang, Xiao Guo, Xiangyu Chang<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong><\/span> \u8c31\u805a\u7c7b\u4e00\u76f4\u5728\u7f51\u7edc\u793e\u533a\u53d1\u73b0\u5e7f\u6cdb\u4f7f\u7528\u7684\u65b9\u6cd5\u4e4b\u4e00\u3002<\/span>\u7136\u800c\uff0c\u5927\u89c4\u6a21\u7f51\u7edc\u5e26\u6765\u7684\u8ba1\u7b97\u6311\u6218\u5b83\u3002<\/span>\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528\u968f\u673a\u7b97\u6cd5\u8349\u56fe\u4ece\u7edf\u8ba1\u5b66\u7684\u89d2\u5ea6\u6765\u770b\uff0c\u5728\u90a3\u91cc\u6211\u4eec\u901a\u5e38\u5047\u5b9a\u4e3a\u8be5\u7f51\u7edc\u6570\u636e\u4ece\u4e00\u4e2a\u968f\u673a\u5757\u6a21\u578b\u751f\u6210\u7684\u7814\u7a76\u8c31\u805a\u7c7b\u3002<\/span>\u8981\u505a\u5230\u8fd9\u4e00\u70b9\uff0c\u6211\u4eec\u9996\u5148\u4f7f\u7528\u4e86\u6700\u8fd1\u5f00\u53d1\u7684\u7d20\u63cf\u7b97\u6cd5\u63a8\u5bfc\u51fa\u4e24\u4e2a\u968f\u673a\u8c31\u805a\u7c7b\u7b97\u6cd5\uff0c\u5373\u968f\u673a\u6295\u5f71\u578b\u548c\u968f\u673a\u57fa\u4e8e\u91c7\u6837\u7684\u8c31\u805a\u7c7b\u3002<\/span>\u7136\u540e\uff0c\u6211\u4eec\u7814\u7a76\u4e86\u5bfc\u81f4\u7b97\u6cd5\u7684\u7406\u8bba\u754c\u5728\u4eba\u53e3\u90bb\u63a5\u77e9\u9635\u4e2d\uff0cmisclustering\u9519\u8bef\uff0c\u5e76\u4e3a\u8054\u7cfb\u6982\u7387\u77e9\u9635\u7684\u4f30\u8ba1\u8bef\u5dee\u903c\u8fd1\u8bef\u5dee\u7684\u6761\u6b3e\u3002<\/span>\u4e8b\u5b9e\u8bc1\u660e\uff0c\u5728\u6e29\u548c\u6761\u4ef6\u4e0b\uff0c\u968f\u673a\u5316\u8c31\u805a\u7c7b\u7b97\u6cd5\u7c7b\u4f3c\u5730\u6267\u884c\u539f\u6765\u7684\u4e00\u4e2a\u3002<\/span>\u6211\u4eec\u8fd8\u8fdb\u884c\u6570\u503c\u8bd5\u9a8c\uff0c\u4ee5\u652f\u6301\u7406\u8bba\u6210\u679c\u3002<\/span><\/section>\n

    \n
    <\/span>
    <\/section>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u5f53\u5c11\u5373\u662f\u591a\uff1a\u57fa\u4e8e<\/strong><\/span><\/p>\n

    \u7ea7\u8054\u793e\u533a\u68c0\u6d4b\u7684\u7cfb\u7edf\u5206\u6790<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/section>\n<\/h3>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/span> <\/span><\/strong><\/span><\/section>\n
    When Less is More: Systematic Analysis of Cascade-based Community Detection<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2002.00840<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/span> <\/span><\/strong><\/span><\/section>\n
    Liudmila Prokhorenkova, Alexey Tikhonov, Nelly Litvak<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong><\/span> \u4fe1\u606f\u6269\u6563\uff0c\u4f20\u67d3\u75c5\u7684\u4f20\u64ad\uff0c\u548c\u4f20\u95fb\u7684\u6269\u5c55\u662f\u5728\u73b0\u5b9e\u7f51\u7edc\u4e2d\u53d1\u751f\u57fa\u672c\u8fc7\u7a0b\u3002<\/span>\u5728\u8bb8\u591a\u5b9e\u9645\u60c5\u51b5\uff0c\u4eba\u4eec\u53ef\u4ee5\u89c2\u5bdf\u5230\uff0c\u5f53\u8282\u70b9\u88ab\u611f\u67d3\uff0c\u4f46\u5e95\u5c42\u7684\u7f51\u7edc\uff0c\u5728\u5176\u4e0a\u8513\u5ef6\u6216\u4fe1\u606f\u4f20\u64ad\uff0c\u88ab\u9690\u85cf\u3002<\/span>\u63a8\u65ad\u6240\u8ff0\u5e95\u5c42\u7f51\u7edc\u7684\u6027\u80fd\u662f\u91cd\u8981\u7684\uff0c\u56e0\u4e3a\u8fd9\u4e9b\u6027\u8d28\u53ef\u7528\u4e8e\u7ea6\u675f\u611f\u67d3\uff0c\u9884\u6d4b\uff0c\u75c5\u6bd2\u5f0f\u8425\u9500\u7b49\u3002<\/span>\u6b64\u5916\uff0c\u5bf9\u4e8e\u8bb8\u591a\u5e94\u7528\uff0c\u8fd9\u662f\u8db3\u4ee5\u6536\u56de\u8be5\u7f51\u7edc\u7684\u552f\u4e00\u7c97\u9ad8\u7ea7\u522b\u7279\u6027\uff0c\u800c\u4e0d\u662f\u5176\u6240\u6709\u7684\u8fb9\u3002<\/span>\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u8fdb\u884c\u4e86\u4ee5\u4e0b\u95ee\u9898\u7684\u7cfb\u7edf\u6027\u548c\u6df1\u5165\u7684\u5206\u6790\uff1a<\/span>\u53ea\u7ed9\u51fa\u611f\u67d3\u65f6\u95f4\uff0c\u53d1\u73b0\u9ad8\u5ea6\u4e92\u8fde\u7684\u8282\u70b9\u793e\u533a\u3002<\/span>\u6211\u4eec\u5f00\u5c55\u7684\u51e0\u4e2a\u5927\u578b\u6570\u636e\u96c6\u73b0\u6709\u7684\u548c\u65b0\u7684\u65b9\u6cd5\u4e4b\u95f4\u7684\u6bd4\u8f83\u900f\u5f7b\uff0c\u6db5\u76d6\u7279\u5b9a\u4e8e\u8fd9\u4e2a\u95ee\u9898\u7684\u65b9\u6cd5\u4e0a\u7684\u6311\u6218\u3002<\/span>\u5176\u4e2d\u4e00\u4e2a\u4e3b\u8981\u7684\u7ed3\u8bba\u662f\uff0c\u6700\u7a33\u5b9a\u7684\u6027\u80fd\u548c\u5f53\u524d\u56fd\u5bb6\u7684\u6700\u5148\u8fdb\u6700\u663e\u8457\u7684\u6539\u5584\u662f\u7531\u4e0d\u53ef\u77e5\u7684\u4e00\u4e2a\u7279\u5b9a\u7684\u56fe\u7ed3\u6784\u548c\u6d41\u884c\u75c5\u6a21\u578b\u6211\u4eec\u63d0\u51fa\u7684\u7b80\u5355\u7684\u542f\u53d1\u5f0f\u65b9\u6cd5\u6765\u5b9e\u73b0\u7684\u3002<\/span>\u6211\u4eec\u8fd8\u8868\u660e\uff0c\u4e00\u4e9b\u77e5\u540d\u793e\u533a\u68c0\u6d4b\u7b97\u6cd5\u53ef\u4ee5\u5305\u62ec\u57fa\u4e8e\u7ea7\u8054\u6570\u636e\u8fb9\u6743\u5f97\u5230\u589e\u5f3a\u3002<\/span><\/section>\n

    \n
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    <\/section>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
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    <\/p>\n

    cube2net\uff1a\u4f7f\u7528\u6570\u636e\u7acb\u65b9\u4f53\u7ec4\u7ec7<\/strong><\/span><\/p>\n

    \u8fdb\u884c\u9ad8\u6548\u7684\u9762\u5411\u67e5\u8be2\u7684\u7f51\u7edc\u6784\u5efa<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/section>\n<\/h3>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/span> <\/span><\/strong><\/span><\/section>\n
    cube2net: Efficient Query-Specific Network Construction with Data Cube Organization<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2002.00841<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/span> <\/span><\/strong><\/span><\/section>\n
    Carl Yang, Mengxiong Liu, Frank He, Jian Peng, Jiawei Han<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong><\/span> \u7f51\u7edc\u88ab\u5e7f\u6cdb\u7528\u4e8e\u6a21\u578b\u5bf9\u8c61\u4e0e\u4e92\u52a8\uff0c\u5e76\u5df2\u542f\u7528\u7684\u5404\u79cd\u4e0b\u6e38\u5e94\u7528\u3002<\/span>\u7136\u800c\uff0c\u5728\u73b0\u5b9e\u4e16\u754c\u4e2d\uff0c\u7f51\u7edc\u6316\u6398\u5f80\u5f80\u662f\u5728\u7279\u5b9a\u67e5\u8be2\u7684\u5bf9\u8c61\u96c6\u5408\uff0c\u5b83\u4e0d\u9700\u8981\u7f51\u7edc\uff0c\u5305\u62ec\u5728\u6570\u636e\u96c6\u4e2d\u7684\u6240\u6709\u5bf9\u8c61\u7684\u7ed3\u6784\u548c\u8ba1\u7b97\u5b8c\u6210\u3002<\/span>\u5728\u8fd9\u9879\u5de5\u4f5c\u4e2d\uff0c\u9996\u6b21\u63d0\u51fa\u4e86\u89e3\u51b3\u67e5\u8be2\u5177\u4f53\u7f51\u7edc\u5efa\u8bbe\u7684\u95ee\u9898\uff0c\u6253\u7834\u73b0\u6709\u7f51\u7edc\u6316\u6398\u7b97\u6cd5\u7684\u6548\u7387\u74f6\u9888\u548c\u4fc3\u8fdb\u5404\u79cd\u4e0b\u6e38\u4efb\u52a1\u3002<\/span>\u4e3a\u4e86\u5e94\u5bf9\u590d\u6742\u7684\u5c5e\u6027\uff0c\u771f\u5b9e\u4e16\u754c\u7684\u5de8\u5927\u7684\u7f51\u7edc\uff0c\u6211\u4eec\u5efa\u8bae\u5145\u5206\u5229\u7528\u53d1\u8fbe\u7684\u6570\u636e\u7acb\u65b9\u4f53\u6280\u672f\uff0c\u7ec4\u7ec7\u7f51\u7edc\u5bf9\u8c61w.r.t.\u4ed6\u4eec\u7684\u57fa\u672c\u5c5e\u6027\u3002<\/span>\u4e00\u4e2a\u6709\u6548\u7684\u5f3a\u5316\u5b66\u4e60\u7b97\u6cd5\uff0c\u7136\u540e\u53d1\u5c55\u5230\u81ea\u52a8\u53d1\u6398\u6570\u636e\u7acb\u65b9\u4f53\u7ed3\u6784\u548c\u6784\u5efa\u4f18\u5316\u67e5\u8be2\u7279\u5b9a\u7684\u7f51\u7edc\u3002<\/span>\u968f\u7740\u5bf9\u4e0d\u540c\u7684\u73b0\u5b9e\u4e16\u754c\u7684\u5927\u578b\u6570\u636e\u96c6\u4e24\u6b3e\u7ecf\u5178\u7f51\u7edc\u6316\u6398\u4efb\u52a1\u5e7f\u6cdb\u7684\u5b9e\u9a8c\uff0c\u6211\u4eec\u8bc1\u660e\u4e86\u6211\u4eec\u6240\u63d0\u51fa\u7684cube2net\u7ba1\u9053\u662f\u901a\u7528\u7684\uff0c\u5e76\u4e14\u66f4\u52a0\u6709\u6548\u548c\u9ad8\u6548\u7684\u67e5\u8be2\u7279\u5b9a\u7684\u7f51\u7edc\u5efa\u8bbe\uff0c\u4e0e\u5176\u5b83\u65b9\u6cd5\uff0c\u800c\u6570\u636e\u7acb\u65b9\u4f53\u7684\u6760\u6746\u4f5c\u7528\u6bd4\u8f83\u6216\u5f3a\u5316\u5b66\u4e60\u3002<\/span><\/section>\n

    \n
    <\/span>
    <\/section>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u6211\u7684YouTube\u548c\u4f60\u7684<\/strong><\/span><\/p>\n

    YouTube\u4e00\u6837\u5417\uff1f\u4f7f\u7528\u70ed\u95e8<\/strong><\/span><\/p>\n

    \u89c6\u9891\u7684YouTube\u7684\u7f29\u7565\u56fe\u5206\u6790\u6587\u5316<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/section>\n<\/h3>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span> <\/span><\/section>\n
    Mi YouTube es Su YouTube? Analyzing the Cultures using YouTube Thumbnails of Popular Videos<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2002.00842<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span> <\/span><\/section>\n
    S<\/span>ongyang Zhang, Tolga Aktas, Jiebo Luo<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/span> <\/span><\/strong>YouTube\u662f\u4e16\u754c\u8457\u540d\u7684\u89c6\u9891\u5171\u4eab\u7f51\u7ad9\uff0c\u7ef4\u62a4\u7684\u5e73\u53f0\u4e0a\u5bf9\u70ed\u95e8\u7684\u89c6\u9891\u5217\u8868\u3002<\/span>\u7531\u4e8e\u5176\u5de8\u5927\u7684\u7528\u6237\u91cf\uff0c\u8fd9\u4f7f\u7814\u7a76\u4eba\u5458\u901a\u8fc7\u5206\u6790\u8d8b\u52bf\u7684\u89c6\u9891\uff0c\u4e86\u89e3\u4eba\u4eec\u7684\u559c\u597d\u3002<\/span>\u5f53\u7ea2\u5f71\u7247\u56e0\u56fd\u5bb6\u800c\u5f02\u7684\u56fd\u5bb6\u3002<\/span>\u901a\u8fc7\u5206\u6790\u8fd9\u4e9b\u5dee\u5f02\u548c\u53d8\u5316\uff0c\u6211\u4eec\u53ef\u4ee5\u544a\u8bc9\u7528\u6237\u7684\u559c\u597d\u5982\u4f55\u5728\u4e0d\u540c\u7684\u4f4d\u7f6e\u3002<\/span>\u4ee5\u524d\u7684\u5de5\u4f5c\u4fa7\u91cd\u4e8e\u5206\u6790\u6765\u81ea\u89c6\u9891\u7684\u5143\u6570\u636e\uff0c\u4f8b\u5982\u6587\u5316\u7684\u504f\u597d\uff0c\u800c\u9690\u85cf\u5728\u89c6\u9891\u5185\u5bb9\u4e2d\u7684\u6587\u5316\u4fe1\u606f\u8fd8\u6ca1\u6709\u88ab\u53d1\u73b0\u3002<\/span>\u5728\u8fd9\u9879\u7814\u7a76\u4e2d\uff0c\u6211\u4eec\u63a2\u7d22\u5229\u7528YouTube\u7684\u6d41\u884c\u89c6\u9891\u7f29\u7565\u56fe\u56fd\u5bb6\u4e4b\u95f4\u7684\u6587\u5316\u504f\u597d\u3002<\/span>\u6211\u4eec\u9996\u5148\u5904\u7406\u7684\u4f7f\u7528\u5bf9\u8c61\u63a2\u6d4b\u5668\u89c6\u9891\u7684\u7f29\u7565\u56fe\u3002<\/span>\u7136\u540e\u5c06\u6536\u96c6\u7684\u5bf9\u8c61\u4fe1\u606f\u7528\u4e8e\u5404\u79cd\u7edf\u8ba1\u5206\u6790\u3002<\/span>\u7279\u522b\u662f\uff0c\u6211\u4eec\u7814\u7a76\u4ece\u4e09\u4e2a\u65b9\u9762\u7684\u6570\u636e\uff1a<\/span>\u5730\u7406\u4f4d\u7f6e\uff0c\u5f71\u7247\u7c7b\u578b\u548c\u7528\u6237\u7684\u53cd\u5e94\u3002<\/span>\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0c\u4ece\u76f8\u4f3c\u7684\u6587\u5316\u4e4b\u80a1\u672c\u6743\u76ca\u7528\u6237\u5728YouTube\u4e0a\u89c2\u770b\u7c7b\u4f3c\u7684\u5f71\u7247\u3002<\/span>\u6211\u4eec\u7684\u7814\u7a76\u8868\u660e\uff0c\u901a\u8fc7\u7f29\u7565\u56fe\u53d1\u73b0\u7684\u6587\u5316\u504f\u597d\u53ef\u4ee5\u662f\u89c6\u9891\u7684\u793e\u4ea4\u5a92\u4f53\u5206\u6790\u7684\u6709\u6548\u673a\u5236\u3002<\/span><\/section>\n

    \n
    <\/span>
    <\/section>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u793e\u533a\u68c0\u6d4b\uff08ABCD\uff09\u4eba\u9020\u57fa\u51c6\uff1a<\/strong><\/span><\/p>\n

    \u6709\u7fa4\u843d\u7ed3\u6784\u7684\u5feb\u901f\u968f\u673a\u56fe\u6a21\u578b<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/section>\n<\/h3>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/span> <\/span><\/strong><\/span><\/section>\n
    Artificial Benchmark for Community Detection (ABCD): Fast Random Graph Model with Community Structure<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2002.00843<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span> <\/span><\/section>\n
    Bogumi\u0142 Kami\u0144ski, Pawe\u0142 Pra\u0142at, Fran\u00e7ois Th\u00e9berge<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong><\/span> \u76ee\u524d\u5927\u591a\u6570\u590d\u6742\u7684\u7f51\u7edc\uff0c\u611f\u5174\u8da3\u7684\u4ece\u4e1a\u8005\u5177\u6709\u4e00\u5b9a\u793e\u4f1a\u7ed3\u6784\u4e2d\u626e\u6f14\u7740\u4e86\u89e3\u8fd9\u4e9b\u7f51\u7edc\u7684\u6027\u80fd\u5177\u6709\u91cd\u8981\u4f5c\u7528\u3002<\/span>\u800c\u4e14\uff0c\u9488\u5bf9\u590d\u6742\u7f51\u7edc\u5f00\u53d1\u4e86\u8bb8\u591a\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u548c\u5de5\u5177\uff0c\u8bd5\u56fe\u5229\u7528\u793e\u533a\u7684\u5b58\u5728\u7684\u4f18\u52bf\u6765\u63d0\u9ad8\u5b83\u4eec\u7684\u6027\u80fd\u548c\u901f\u5ea6\u3002<\/span>\u5176\u7ed3\u679c\u662f\uff0c\u6709\u5728\u5927\u578b\u7f51\u7edc\u4e2d\u68c0\u6d4b\u793e\u533a\u7684\u8bb8\u591a\u7ade\u4e89\u7b97\u6cd5\u3002<\/span>\u4e0d\u5e78\u7684\u662f\uff0c\u8fd9\u4e9b\u7b97\u6cd5\u5f80\u5f80\u76f8\u5f53\u654f\u611f\uff0c\u56e0\u6b64\u5b83\u4eec\u4e0d\u80fd\u8fdb\u884c\u5fae\u8c03\u5bf9\u4e8e\u7ed9\u5b9a\u7684\uff0c\u800c\u662f\u4e0d\u65ad\u53d8\u5316\u7684\uff0c\u771f\u5b9e\u7684\u7f51\u7edc\u5728\u773c\u524d\u3002<\/span>\u56e0\u6b64\u91cd\u8981\u7684\u662f\u8981\u6d4b\u8bd5\u8fd9\u4e9b\u7b97\u6cd5\u53ea\u80fd\u4f7f\u7528\u5df2\u7ecf\u5185\u7f6e\u7684\u7fa4\u843d\u7ed3\u6784\uff0c\u5e42\u5f8b\u5206\u5e03\uff0c\u5e76\u5728\u590d\u6742\u7f51\u7edc\u89c2\u5bdf\u7b49\u5178\u578b\u7279\u6027\u7684\u5408\u6210\u56fe\u6765\u5b8c\u6210\u5404\u79cd\u60c5\u51b5\u3002<\/span>\u7528\u4e8e\u4ea7\u751f\u4eba\u5de5\u7f51\u7edc\u7684\u6807\u51c6\u548c\u5e7f\u6cdb\u4f7f\u7528\u7684\u65b9\u6cd5\u662f\u5728LFR\u56fe\u53d1\u751f\u5668\u3002<\/span>\u4e0d\u5e78\u7684\u662f\uff0c\u8fd9\u79cd\u6a21\u5f0f\u5177\u6709\u4e00\u5b9a\u7684\u53ef\u6269\u5c55\u6027\u9650\u5236\uff0c\u5b83\u662f\u5177\u6709\u6311\u6218\u6027\u7684\u7406\u8bba\u5206\u6790\u5b83\u3002<\/span>\u6700\u540e\uff0c\u53c2\u6570 \u4ea9\uff0c\u8be5\u6a21\u578b\u5bfc\u5f15\u793e\u533a\u7684\u5f3a\u5ea6\u7684\u4e3b\u8981\u53c2\u6570\uff0c\u6df7\u5408\u5177\u6709\u975e\u663e\u800c\u6613\u89c1\u7684\u89e3\u91ca\uff0c\u56e0\u6b64\u53ef\u4ee5\u5bfc\u81f4\u4e0d\u81ea\u7136\u5730\u5b9a\u4e49\u7f51\u7edc\u3002<\/span>\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u63d0\u4f9b\u7684\u7fa4\u843d\u7ed3\u6784\u548c\u5e42\u5f8b\u5206\u5e03\u7684\u4e24\u4e2a\u5b66\u4f4d\u548c\u793e\u533a\u7684\u89c4\u6a21\uff0c\u793e\u533a\u68c0\u6d4b\uff08ABCD\uff09\u4eba\u5de5\u57fa\u51c6\u66ff\u4ee3\u968f\u673a\u56fe\u6a21\u578b\u3002<\/span>\u6211\u4eec\u8868\u660e\uff0c\u8be5\u6a21\u578b\u89e3\u51b3\u4ee5\u4e0a\uff0c\u66f4\u786e\u5b9a\u7684\u4e09\u4e2a\u95ee\u9898\u3002<\/span>\u7ed3\u8bba\u662f\uff0c\u8fd9\u4e9b\u6a21\u578b\u4ea7\u751f\u76f8\u5f53\u7684\u56fe\u8868\uff0c\u4f46\u662fABCD\u662f\u5feb\u901f\uff0c\u7b80\u5355\uff0c\u5e76\u4e14\u53ef\u4ee5\u5f88\u5bb9\u6613\u5730\u8c03\u6574\uff0c\u4ee5\u5141\u8bb8\u7528\u6237\u4f7f\u4e24\u4e2a\u6781\u7aef\u4e4b\u95f4\u7684\u5e73\u6ed1\u8fc7\u6e21\uff1a<\/span>\u7eaf\uff08\u72ec\u7acb\uff09\u793e\u533a\u968f\u673a\u56fe\u6ca1\u6709\u7fa4\u843d\u7ed3\u6784\u548c\u3002<\/span><\/section>\n

    \n
    <\/span>
    <\/section>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    DiffNet++\uff1a\u4e00\u4e2a\u7528\u4e8e\u793e\u4f1a\u63a8\u8350\u7684<\/strong><\/span><\/p>\n

    \u795e\u7ecf\u7f51\u7edc\u5f71\u54cd\u529b\u548c\u5174\u8da3\u6269\u6563\u7f51\u7edc<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/section>\n<\/h3>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span> <\/span><\/section>\n
    DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2002.00844<\/span><\/section>\n
    \u4f5c<\/span><\/strong>\u8005\uff1a<\/strong><\/span><\/section>\n
    Le Wu, Junwei Li, Peijie Sun, Yong Ge, Meng Wang<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong><\/span> \u793e\u4f1a\u5efa\u8bae\u5df2\u51fa\u73b0\u4e86\u5229\u7528\u793e\u4f1a\u5173\u7cfb\u7528\u6237\u4e4b\u95f4\u7528\u4e8e\u9884\u6d4b\u7528\u6237\u7684\u559c\u597d\u4e0d\u660e\uff0c\u8fd9\u53ef\u80fd\u4f1a\u7f13\u89e3\u6570\u636e\u7a00\u758f\u95ee\u9898\u7684\u534f\u540c\u8fc7\u6ee4\u63a8\u8350\u57fa\u7840\u3002<\/span>\u65e9\u671f\u7684\u7814\u7a76\u4f9d\u8d56\u4e8e\u5229\u7528\u6bcf\u4e2a\u7528\u6237\u7684\u4e00\u9636\u793e\u4f1a\u90bb\u56fd\u7684\u5229\u76ca\u66f4\u597d\u7684\u7528\u6237\u5efa\u6a21\uff0c\u5e76\u672a\u80fd\u5728\u793e\u4f1a\u5f71\u54cd\u529b\u6269\u6563\u8fc7\u7a0b\u4ece\u5168\u7403\u793e\u4f1a\u7f51\u7edc\u7ed3\u6784\u7684\u6a21\u578b\u3002<\/span>\u6700\u8fd1\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u4e2a\u795e\u7ecf\u5f71\u54cd\u6269\u6563\u7f51\u7edc\u301c\u7684\u524d\u671f\u5de5\u4f5c\uff08\u5373\uff0cDiffNet\uff09\u4e3a\u793e\u4ea4\u63a8\u8350\u301c\uff08Diffnet\uff09\uff0c\u9012\u5f52\u793e\u4f1a\u6269\u6563\u8fc7\u7a0b\u8981\u6355\u83b7\u7684\u6a21\u578b\u4e3a\u6bcf\u4e2a\u7528\u6237\u9ad8\u9636\u7684\u5173\u7cfb\u3002<\/span>\u7136\u800c\uff0c\u6211\u4eec\u8ba4\u4e3a\uff0c\u968f\u7740\u7528\u6237\u540c\u65f6\u64ad\u653e\u7528\u6237 – \u7528\u6237\u793e\u4f1a\u7f51\u7edc\u548c\u7528\u6237\u7684\u9879\u76ee\u5229\u76ca\u7f51\u7edc\u4e2d\u7684\u6838\u5fc3\u4f5c\u7528\uff0c\u53ea\u662f\u9020\u578b\u793e\u4f1a\u7f51\u7edc\u4e2d\u7684\u5f71\u54cd\u529b\u6269\u6563\u8fc7\u7a0b\u4e2d\u4f1a\u5ffd\u7565\u5728\u7528\u6237\u9879\u76ee\u6709\u5174\u8da3\u7684\u7528\u6237\u7684\u6f5c\u5728\u534f\u540c\u5229\u76ca\u7f51\u7edc\u3002<\/span>\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u63d0\u51faDiffNet ++\uff0cDiffNet\u7684\u6539\u8fdb\u7b97\u6cd5\u6a21\u578b\u5728\u4e00\u4e2a\u7edf\u4e00\u7684\u6846\u67b6\u795e\u7ecf\u5f71\u54cd\u6269\u6563\u548c\u5174\u8da3\u6269\u6563\u3002<\/span>\u7531\u91cd\u6574\u793e\u4ea4\u63a8\u8350\u4f5c\u4e3a\u591a\u76f8\u66f2\u7ebf\u56fe\u4e0e\u793e\u4f1a\u7f51\u7edc\u548c\u5174\u8da3\u7f51\u7edc\u4f5c\u4e3a\u8f93\u5165\uff0cDiffNet ++\u8fdb\u6b65DiffNet\u901a\u8fc7\u6ce8\u5165\u7528\u4e8e\u7528\u6237\u5d4c\u5165\u5728\u5b66\u4e60\u7684\u540c\u65f6\u8fd9\u4e24\u4e2a\u7f51\u7edc\u7684\u4fe1\u606f\u3002<\/span>\u7528\u6237\u4ee5\u524d\u7684\u5d4c\u5165\uff0c\u6765\u81ea\u793e\u4f1a\u7f51\u7edc\u7684\u793e\u4ea4\u90bb\u5c45\u7684\u5f71\u54cd\u529b\u805a\u96c6\uff0c\u5e76\u4ece\u7528\u6237\u9879\u76ee\u6709\u5174\u8da3\u7684\u7f51\u7edc\u9879\u76ee\u90bb\u56fd\u7684\u5229\u76ca\u805a\u96c6\uff1a<\/span>\u8fd9\u662f\u901a\u8fc7\u8fed\u4ee3\u4ece\u4e09\u4e2a\u65b9\u9762\u6c47\u603b\u6bcf\u4e2a\u7528\u6237\u7684\u5d4c\u5165\u6765\u5b9e\u73b0\u7684\u3002<\/span>\u6b64\u5916\uff0c\u6211\u4eec\u8fd8\u8bbe\u8ba1\u4e86\u591a\u5c42\u6b21\u7684\u5173\u6ce8\u7f51\u7edc\u4ece\u8fd9\u4e09\u4e2a\u65b9\u9762\u5b66\u4e60\u5982\u4f55\u7528\u5fc3\u805a\u5408\u7528\u6237\u7684\u5d4c\u5165\u3002<\/span>\u6700\u540e\uff0c\u5728\u4e24\u4e2a\u73b0\u5b9e\u4e16\u754c\u7684\u6570\u636e\u96c6\u5927\u91cf\u7684\u5b9e\u9a8c\u7ed3\u679c\u6e05\u695a\u5730\u8868\u660e\u6211\u4eec\u63d0\u51fa\u7684\u6a21\u578b\u7684\u6709\u6548\u6027\u3002<\/span><\/section>\n

    \n
    <\/span>
    <\/section>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
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    <\/p>\n

    \u6269\u6563\u6a21\u578b\u7684\u5b50\u6a21\u6027\uff1a<\/strong><\/span><\/p>\n

    \u7b49\u4ef7\u6761\u4ef6\u53ca\u5176\u5e94\u7528<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/section>\n<\/h3>\n
    \u539f\u6587\u6807<\/span><\/strong>\u9898<\/span>\uff1a<\/span><\/span> <\/span><\/strong><\/span><\/section>\n
    On the Submodularity of Diffusion Models: Equivalent Conditions and Applications<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2002.00845<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/span> <\/span><\/strong><\/span><\/section>\n
    Fangqi Li, Chong Di, Wenwen Xia<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/span> <\/span><\/strong>\u6269\u6563\u6a21\u578b\u4e00\u76f4\u5728\u5bf9\u793e\u4f1a\u7f51\u7edc\u7814\u7a76\u7684\u4e00\u4e2a\u91cd\u8981\u7ec4\u6210\u90e8\u5206\u3002<\/span>\u8bb8\u591a\u7814\u7a76\uff0c\u5c24\u5176\u662f\u5173\u4e8e\u8fd9\u4e9b\u5f71\u54cd\u6700\u5927\u5316\u5173\u6ce8\u7279\u5b9a\u6269\u6563\u6a21\u578b\u7684\u5b50\u6a21\u7684\u8bc1\u660e\u3002<\/span>\u8fd9\u6837\u7684\u8bc1\u636e\u4e00\u76f4\u4f9d\u8d56\u6a21\u578b\u548c\u6709\u4e9b\u4e13\u6848\u3002<\/span>\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u8bc1\u660e\u4e00\u4e2a\u5b9a\u7406\uff0c\u5b83\u63d0\u4f9b\u4e86\u4e00\u4e2a\u6269\u6563\u6a21\u578b\u662f\u4e00\u4e2a\u5b50\u6a21\u5757\u5145\u5206\u5fc5\u8981\u6761\u4ef6\u3002<\/span>\u8fd9\u4e2a\u5b9a\u7406\u53ef\u4ee5\u7528\u6765\u8bc1\u660e\u4efb\u610f\u6269\u6563\u6a21\u578b\u7684\u5b50\u6a21\u3002<\/span>\u6211\u4eec\u4e5f\u5c06\u6b64\u5b9a\u7406\u6784\u5efa\u4efb\u610f\u6269\u6563\u6a21\u578b\u6620\u5c04\u5230\u4e00\u4e2a\u5b50\u6a21\u5757\u4e00\u4e2a\u6295\u5f71\u7b97\u3002<\/span>\u6b64\u5916\uff0c\u6211\u4eec\u4f7f\u7528\u65e2\u5b9a\u7684\u5b9a\u7406\u63d0\u51fa\u7684\u90a3\u90e8\u5206\u529f\u80fd\u5b50\u6a21\u4fe1\u606f\u591a\u4e2a\u5f02\u6784\u679a\u6269\u6563\u6a21\u578b\u3002<\/span><\/section>\n

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

    \n
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    <\/p>\n

    \u5bf9\u6bd4\u75ab\u82d7\u7684\u653f\u6cbb\u6c9f\u901a\u540e\uff0c\u5728\u7ebf\u793e\u4ea4<\/strong><\/span><\/p>\n

    \u5a92\u4f53\u5bf9\u514d\u75ab\u7684\u4e0d\u4fe1\u4efb\u548c\u8ff7\u5931\u7684\u8bc1\u636e<\/strong><\/span><\/p>\n

    \u3002\u6765\u81ea\u610f\u5927\u5229\u63a8\u7279\u6570\u636e\u7684\u5206\u6790\u7ed3\u679c<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/p>\n

    \u539f\u6587\u6807\u9898\uff1a<\/span><\/span> <\/span><\/strong><\/span>
    <\/span><\/section>\n<\/h3>\n
    Evidence of distrust and disorientation towards immunization on online social media after contrasting political communication on vaccines. Results from an analysis of Twitter data in Italy<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    h<\/span>ttp:\/\/arxiv.org\/abs\/2002.00846<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span> <\/span><\/section>\n
    Samantha Ajovalasit (1), Veronica Dorgali (2), Angelo Mazza (1), Alberto D\/\u2018 Onofrio (3), Piero Manfredi (4) ((1) University of Catania, (2) University of Florence, (3) International Prevention Research Institute – Lyon, (4) University of Pisa)<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/span> <\/span><\/strong>\u80cc\u666f\u3002<\/span>\u8fd1\u65e5\uff0c\u5728\u610f\u5927\u5229\uff0c\u75ab\u82d7\u63a5\u79cd\u7387\u7684\u5173\u952e\u514d\u75ab\u63a5\u79cd\uff0c\u5982MMR\uff0c\u4e00\u76f4\u5448\u4e0b\u964d\u8d8b\u52bf\uff0c\u9ebb\u75b9\u66b4\u53d1\u3002<\/span>\u57282017\u5e74\uff0c\u610f\u5927\u5229\u653f\u5e9c\u6269\u5927\u5f3a\u5236\u514d\u75ab\u5efa\u7acb\u672a\u63a5\u79cd\u75ab\u82d7\u7684\u513f\u7ae5\u7684\u5bb6\u5ead\u5904\u7f5a\u7684\u6570\u91cf\u3002<\/span>\u57282018\u5e74\u7684\u9009\u4e3e\u6d3b\u52a8\uff0c\u514d\u75ab\u653f\u7b56\u8fdb\u5165\u4e86\u653f\u6cbb\u8fa9\u8bba\uff0c\u4e0e\u653f\u5e9c\u6307\u8d23\u52a9\u957f\u75ab\u82d7\u7684\u6000\u7591\u7684\u5bf9\u7acb\u3002<\/span>\u65b0\u653f\u5e9c\u6210\u7acb\u4e8e2018\u5e74\u6682\u65f6\u653e\u677e\u4e86\u5904\u7f5a\uff0c\u5e76\u5ba3\u5e03\u63a8\u51fa\u7684\u7075\u6d3b\u6027\u3002<\/span>\u76ee\u6807\u548c\u65b9\u6cd5\u3002<\/span>\u901a\u8fc7\u57282018\u4e0a\u516c\u5e03\u7684\u610f\u5927\u5229\u9e23\u53eb\u60c5\u7eea\u5206\u6790\uff0c\u6211\u4eec\u7684\u76ee\u7684\u5982\u4e0b\uff1a<\/span>\uff08i\uff09\u8868\u5f81\u901a\u4fe1\u5bf9\u75ab\u82d7\u7684\u65f6\u95f4\u6d41\u7a0b\uff0c\uff08\u4e8c\uff09\u8bc4\u4f30\u7684Twitter\u6570\u636e\u7684\u6709\u7528\u4f30\u8ba1\u63a5\u79cd\u53c2\u6570\uff0c\u53ca\uff08iii\uff09\u8c03\u67e5\u662f\u5426\u66a7\u6627\u653f\u6cbb\u901a\u4fe1\u53ef\u80fd\u8d77\u6e90\u5728\u516c\u4f17\u4e2d\u8ff7\u5931\u65b9\u5411\u3002<\/span>\u7ed3\u679c\u3002<\/span>\u4eba\u53e3\u4f3c\u4e4e\u88ab\u201c\u8fde\u73af\u63a8\u53cb\u201d\u5541\u557e\u7684\u4e00\u5207\uff0c\u5305\u62ec\u75ab\u82d7\u53ef\u4e3b\u8981\u7531\u3002<\/span>\u9e23\u53eb\u5229\u4e8e\u63a5\u79cd\u5360\u4fdd\u7559\u9e23\u53eb\uff0c\u672a\u5b9a\u4e3a14\uff05\u548c\u4e0d\u522911\uff05\u768475\uff05\u3002<\/span>\u610f\u5927\u5229\u516c\u5171\u536b\u751f\u673a\u6784\u7684\u5fae\u535a\u6d3b\u52a8\u662f\u53ef\u4ee5\u5ffd\u7565\u4e0d\u8ba1\u3002<\/span>\u5e73\u6ed1\u7684\u65f6\u95f4\u6a21\u5f0f\uff0c\u5411\u4e0a\u548c\u5411\u4e0b\u7684\u8d8b\u52bf\uff0c\u5728\u6709\u5229\u7684\u6bd4\u4f8b\u51fa\u73b0\uff0c\u4e0e\u653f\u5e9c\u4e4b\u95f4\u7684\u5207\u6362\u540c\u6b65\uff0c\u63d0\u4f9b\u8ff7\u5931\u65b9\u5411\u7684\u660e\u786e\u8bc1\u636e\u540e\u3002<\/span>\u7ed3\u8bba\u3002<\/span>\u8ff7\u5931\u65b9\u5411\u7684\u6587\u4ef6\u62a5\u544a\u7684\u8bc1\u636e\u8868\u660e\uff0c\u91cd\u8981\u7684\u5065\u5eb7\u8bdd\u9898\uff0c\u5982\u514d\u75ab\uff0c\u4e0d\u5e94\u8be5\u88ab\u7528\u4e8e\u653f\u6cbb\u5171\u8bc6\u3002<\/span>\u8003\u8651\u5230\u5728\u7ebf\u793e\u4ea4\u5a92\u4f53\u4f5c\u4e3a\u4fe1\u606f\u6e90\uff0c\u8fd9\u53ef\u80fd\u4f1a\u5c48\u670d\u4e8e\u793e\u4f1a\u538b\u529b\u6700\u7ec8\u75ab\u82d7\u5438\u6536\u6709\u5bb3\u7684\u8d8a\u6765\u8d8a\u5927\u7684\u4f5c\u7528\uff0c\u8fd9\u662f\u7279\u522b\u771f\u5b9e\u7684\uff0c\u7531\u4e8e\u7f3a\u4e4f\u5728Twitter\u4f53\u5236\u5b58\u5728\u7684\u6076\u5316\u3002<\/span>\u8fd9\u5c31\u9700\u8981\u52aa\u529b\u7684\u5bf9\u6bd4\u5ea6\u8bef\u4f20\u548c\u72b9\u8c6b\u7684\u968f\u540e\u8513\u5ef6\u3002<\/span><\/section>\n

    \n

    <\/span><\/section>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u4e00\u4e2a\u4f17\u7b79\u7684\u52a8\u6001\u534f\u540c\u8ddf\u8e2a\u7cfb\u7edf<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/p>\n<\/h3>\n

    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong><\/span> <\/span><\/section>\n
    A Dynamic and Cooperative Tracking System for Crowdfunding<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    <\/span>http:\/\/arxiv.org\/abs\/2002.00847<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/span> <\/span><\/strong><\/span><\/section>\n
    Kai Zhang, Hongke Zhao, Qi Liu, Zhen Pan, Enhong Chen<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong><\/span> \u4f17\u7b79\u662f\u4e00\u4e2a\u65b0\u5174\u7684\u91d1\u878d\u5e73\u53f0\uff0c\u4e3a\u521b\u4f5c\u8005\u901a\u8fc7\u5e7f\u6cdb\u5f81\u6c42\u5927\u91cf\u4f7f\u7528\u4e92\u8054\u7f51\u7684\u4e2a\u4eba\u6350\u52a9\u91cf\u76f8\u5bf9\u8f83\u5c11\u7684\u52aa\u529b\u63d0\u4f9b\u8d44\u91d1\u3002<\/span>\u7531\u4e8e\u72ec\u7279\u7684\u89c4\u5219\uff0c\u7ade\u9009\u6210\u529f\u7684\u4ea4\u6613\uff0c\u53ea\u6709\u5f53\u5b83\u5728\u7ed9\u5b9a\u7684\u65f6\u95f4\u6536\u96c6\u8db3\u591f\u7684\u8d44\u91d1\u3002<\/span>\u4e3a\u4e86\u9632\u6b62\u5931\u8d25\u8fd0\u52a8\u7684\u521b\u9020\u8005\u548c\u6d6a\u8d39\u65f6\u95f4\u7684\u652f\u6301\u8005\u548c\u52aa\u529b\uff0c\u52a8\u6001\u4f30\u8ba1\u6d3b\u52a8\u7684\u6210\u529f\u6982\u7387\u662f\u975e\u5e38\u91cd\u8981\u7684\u3002<\/span>\u4f46\u662f\uff0c\u73b0\u6709\u7684\u7fa4\u4f17\u96c6\u8d44\u7cfb\u7edf\u65e2\u5177\u6709\u52a8\u6001\u9884\u6d4b\u8ddf\u8e2a\u7684\u673a\u5236\uff0c\u4e5f\u4e0d\u9700\u8981\u5728\u5e73\u53f0\u4e0a\u521b\u9020\u8005\u548c\u652f\u6301\u8005\u63d0\u4f9b\u5b9e\u65f6\u7684\u8fd0\u52a8\u72b6\u6001\u3002<\/span>\u4e3a\u4e86\u89e3\u51b3\u8fd9\u4e9b\u95ee\u9898\uff0c\u6211\u4eec\u5f00\u53d1\u4e86\u4e00\u4e2a\u65b0\u7684\u7cfb\u7edf\uff0c\u5b83\u5305\u542b\u4e00\u4e2a\u52a8\u6001\u6570\u636e\u9a71\u52a8\u7684\u65b9\u6cd5\u6765\u8ffd\u8e2a\u6210\u529f\u6982\u7387\u548c\u72b6\u6001\u3002<\/span>\u6211\u4eec\u8bc1\u660e\u4f7f\u7528\u6211\u4eec\u7684\u7cfb\u7edf\u5728\u4ee5\u4e0b\u60c5\u51b5\u4e0b\u3002<\/span>\u9996\u5148\uff0c\u7528\u6237\u53ef\u4ee5\u5229\u7528\u6211\u4eec\u7684\u7cfb\u7edf\u6765\u5206\u6790\u7684\u589e\u91cf\u8bc4\u8bba\u60c5\u611f\uff0c\u4ee5\u4fbf\u4e86\u89e3\u652f\u6301\u8005\u6d3b\u52a8\u7684\u89c2\u70b9\u5728\u65f6\u95f4\u4e0a\u3002<\/span>\u540c\u65f6\uff0c\u6211\u4eec\u7684\u7cfb\u7edf\u53ef\u89c6\u5316\u7684\u6b63\u9762\u548c\u8d1f\u9762\u8bc4\u4ef7\u7684\u7edf\u8ba1\u6570\u3002<\/span>\u5728\u6b64\u57fa\u7840\u4e0a\uff0c\u6211\u4eec\u7684\u7cfb\u7edf\u80fd\u591f\u52a8\u6001\u8ddf\u8e2a\u6bcf\u4e2a\u6d3b\u52a8\u7684\u6210\u529f\u6982\u7387\u3002<\/span><\/section>\n

    \n

    <\/span><\/section>\n
    \n
    \n


    <\/p>\n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u57fa\u4e8e\u7ed3\u6784\u7279\u5f81\u7684\u56fe\u81ea\u9002\u5e94\u6c60\u5316<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

    <\/span>
    <\/section>\n<\/h3>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/span> <\/span><\/strong><\/span><\/section>\n
    Structure-Feature based Graph Self-adaptive Pooling<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    <\/span>http:\/\/arxiv.org\/abs\/2002.00848<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/span> <\/span><\/strong><\/span><\/section>\n
    Liang Zhang, Xudong Wang, Hongsheng Li, Guangming Zhu, Peiyi Shen, Ping Li, Xiaoyuan Lu, Syed Afaq Ali Shah, Mohammed Bennamoun<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong><\/span> \u4e0d\u540c\u7684\u65b9\u6cd5\u6765\u5904\u7406\u56fe\u6570\u636e\u5728\u8fd1\u51e0\u5e74\u88ab\u63d0\u51fa\u3002<\/span>\u7136\u800c\uff0c\u8fd9\u4e9b\u65b9\u6cd5\u5927\u591a\u96c6\u4e2d\u5728\u56fe<\/span>\u529f\u80fd\u7684\u805a\u96c6\uff0c\u800c\u4e0d\u662f\u56fe\u6c60\u3002<\/span>\u6b64\u5916\uff0c\u73b0\u6709\u7684\u524dk\u9009\u56fe\u6c60\u7684\u65b9\u6cd5\u6709\u51e0\u4e2a\u95ee\u9898\u3002<\/span>\u9996\u5148\uff0c\u4e3a\u4e86\u6784\u5efa\u6c47\u96c6\u56fe\u62d3\u6251\uff0c\u5f53\u524d\u7684top-k\u9009\u62e9\u65b9\u6cd5\u4ece\u53ea\u6709\u4e00\u4e2a\u5355\u4e00\u7684\u89d2\u5ea6\u6765\u770b\uff0c\u8fd9\u662f\u7b80\u5355\u7684\u548c\u4e0d\u5ba2\u89c2\u7684\u8bc4\u4f30\u8282\u70b9\u7684\u91cd\u8981\u6027\u3002<\/span>\u7b2c\u4e8c\uff0c\u672a\u88ab\u9009\u62e9\u7684\u8282\u70b9\u7684\u529f\u80fd\u7684\u4fe1\u606f\u4e2d\u6c47\u96c6\u8fc7\u7a0b\u4e2d\uff0c\u88ab\u76f4\u63a5\u635f\u5931\uff0c\u8fd9\u4e0d\u53ef\u907f\u514d\u5730\u5bfc\u81f4\u7684\u56fe\u7279\u5f81\u7684\u4fe1\u606f\u7684\u5de8\u5927\u7684\u635f\u5931\u3002<\/span>\u4e3a\u4e86\u89e3\u51b3\u4e0a\u8ff0\u8fd9\u4e9b\u95ee\u9898\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u79cd\u56fe\u81ea\u9002\u5e94\u8f6e\u8be2\u65b9\u6cd5\uff0c\u5176\u76ee\u6807\u5982\u4e0b\uff1a<\/span>\uff081\uff09\u4ee5\u6784\u5efa\u540c\u65f6\u8003\u8651\u56fe\u7684\u4e00\u4e2a\u5408\u7406\u7684\u5408\u5e76\u56fe\u62d3\u6251\uff0c\u7ed3\u6784\u548c\u529f\u80fd\u7684\u4fe1\u606f\uff0c\u5176\u63d0\u4f9b\u9644\u52a0\u7684\u771f\u5b9e\u6027\u548c\u5ba2\u89c2\u6027\u5728\u8282\u70b9\u9009\u62e9;\u548c\uff082\uff09\uff0c\u4ee5\u4f7f\u6c47\u96c6\u8282\u70b9\u5305\u542b\u8db3\u591f\u6709\u6548\u56fe\u4fe1\u606f\uff0c\u8282\u70b9\u7279\u5f81\u4fe1\u606f\u4e22\u5f03\u4e0d\u91cd\u8981\u8282\u70b9\u4e4b\u524d\u805a\u96c6;\u56e0\u6b64\uff0c\u6240\u9009\u62e9\u7684\u8282\u70b9\u5305\u542b\u4ece\u90bb\u5c45\u8282\u70b9\uff0c\u5b83\u53ef\u4ee5\u63d0\u9ad8\u4f7f\u7528\u7684\u672a\u9009\u5b9a\u7684\u8282\u70b9\u7684\u529f\u80fd\u7684\u4fe1\u606f\u3002<\/span>\u5728\u56db\u4e2a\u4e0d\u540c\u7684\u6570\u636e\u96c6\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0c\u6211\u4eec\u7684\u65b9\u6cd5\u662f\u6709\u6548\u7684\u56fe\u5206\u7c7b\uff0c\u5e76\u4f18\u4e8e\u56fd\u5bb6\u7684\u6700\u5148\u8fdb\u7684\u56fe\u6c60\u7684\u65b9\u6cd5\u3002<\/span><\/section>\n
    <\/span><\/section>\n

    \n

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    \n
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    \u5728\u81ea\u903b\u8f91\u89d2\u8272\u5c5e\u6027\u6a21\u578b<\/strong><\/span><\/p>\n

    \u4e2d\u4f7f\u7528\u57fa\u4e8e\u91c7\u6837\u7684\u7f51\u7edc\u6570\u636e<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/section>\n<\/h3>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/span> <\/span><\/strong><\/span><\/section>\n
    Using Sampled Network Data With The Autologistic Actor Attribute Model<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    <\/span>http:\/\/arxiv.org\/abs\/2002.00849<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/span> <\/span><\/strong><\/span><\/section>\n
    Alex D. Stivala, H. Colin Gallagher, David A. Rolls, Peng Wang, Garry L. Robins<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/span> <\/span><\/strong>\u793e\u4f1a\u79d1\u5b66\u7684\u7814\u7a76\uff0c\u4ece\u7edf\u8ba1\u65b9\u6cd5\u8d8a\u6765\u8d8a\u591a\u7684\u597d\u5904\u7406\u89e3\u793e\u4f1a\u751f\u6d3b\u7684\u7ed3\u6784\u5316\u7279\u6027\uff0c\u5305\u62ec\u793e\u4f1a\u7f51\u7edc\u6570\u636e\u3002<\/span>\u7136\u800c\uff0c\u7edf\u8ba1\u7f51\u7edc\u6a21\u578b\u7684\u5927\u578b\u793e\u533a\u7814\u7a76\u4e2d\u7684\u5e94\u7528\u662f\u7531\u4ed6\u4eec\u63a8\u8bba\u7684\u73b0\u5b9e\u6570\u636e\u7684\u91c7\u96c6\u6761\u4ef6\uff0c\u5305\u62ec\u91c7\u6837\u6216\u4e22\u5931\u7684\u7f51\u7edc\u6570\u636e\u4e0b\u7684\u6709\u6548\u6027\u7684\u4e86\u89e3\u592a\u5c11\u963b\u788d\u3002<\/span>\u8be5autologistic\u6f14\u5458\u5c5e\u6027\u6a21\u578b\uff08ALAAM\uff09\u662f\u4e00\u79cd\u57fa\u4e8e\u793e\u4f1a\u7f51\u7edc\u7684\u6210\u719f\u6307\u6570\u968f\u673a\u56fe\u6a21\u578b\uff08\u589e\u7a0b\u5236\u5bfc\u5f39\u836f\uff09\u7684\u7edf\u8ba1\u6a21\u578b\u3002<\/span> ALAAMs\u53ef\u89c6\u4e3a\u4e00\u79cd\u793e\u4f1a\u5f71\u54cd\u529b\u6a21\u578b\uff0c\u9884\u6d4b\u57fa\u4e8e\u6f14\u5458\u7684\u7f51\u7edc\u8054\u7cfb\uff0c\u4ed6\/\u5979\u7684\u7f51\u7edc\u5408\u4f5c\u4f19\u4f34\u7684\u5e76\u53d1\u7ed3\u679c\uff0c\u548c\u6f14\u5458\u7684\u5c5e\u6027\u4ed6\/\u5979\u7684\u7f51\u7edc\u5408\u4f5c\u4f19\u4f34\u7684\u4e2a\u4f53\u6c34\u5e73\u7684\u7ed3\u679c\u3002<\/span>\u7279\u522b\u5730\uff0c\u53ef\u4ee5ALAAM\u7528\u4e8e\u6d4b\u91cf\u6269\u6563\u6548\u5e94\uff0c\u5373\uff0c\u901a\u8fc7\u793e\u4f1a\u7f51\u7edc\u8fde\u63a5\u8fde\u63a5\u5230\u4e24\u4e2a\u4e24\u4e2a\u6f14\u5458\u7684\u503e\u5411\u6709\u4e00\u4e2a\u5c5e\u6027\u7684\u76f8\u540c\u7684\u503c\u3002<\/span>\u6211\u4eec\u8c03\u67e5\u4f7f\u7528\u7b80\u5355\u968f\u673a\u6837\u672c\u548cALAAM\u53c2\u6570\u63a8\u65ad\u7f51\u7edc\u6570\u636e\u7684\u5feb\u901f\u589e\u957f\u6837\u7684\u6548\u679c\uff0c\u53d1\u73b0\u53c2\u6570\u63a8\u65ad\u4f9d\u7136\u53ef\u4ee5\u5373\u4f7f\u7f3a\u5c11\u7684\u8282\u70b9\u7684\u5e73\u51e1\u5c0f\u90e8\u5206\u5de5\u4f5c\u3002<\/span>\u7136\u800c\uff0c\u5b83\u662f\u5b89\u5168\u7684\u53d6\u7f51\u7edc\u7684\u96ea\u7403\u6837\u54c1\u5e76\u4f30\u8ba1\u5bf9\u96ea\u7403\u91c7\u6837\u7ed3\u6784\u4e3a\u6761\u4ef6\u3002<\/span><\/section>\n

    \n
    <\/span>
    <\/section>\n
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    \n
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    \u771f\u7406\u7684\u5185\u6838\uff1a\u53ea\u4f7f\u7528Twitter<\/strong><\/span><\/p>\n

    \u4e0a\u7684\u6269\u6563\u6a21\u5f0f\u786e\u5b9a\u4f20\u95fb\u51c6\u786e\u6027<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/section>\n<\/h3>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/span> <\/span><\/strong><\/span><\/section>\n
    A Kernel of Truth: Determining Rumor Veracity on Twitter by Diffusion Pattern Alone<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    <\/span>http:\/\/arxiv.org\/abs\/2002.00850<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/span> <\/span><\/strong><\/span><\/section>\n
    Aron Szanto, Nir Rosenfeld, David C. Parkes<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong><\/span> \u5728\u8bef\u4f20\u68c0\u6d4b\u9886\u57df\u6700\u8fd1\u7684\u5de5\u4f5c\u5df2\u7ecf\u5229\u7528\u4e30\u5bcc\u7684\u4e0e\u793e\u4ea4\u5a92\u4f53\u5185\u5bb9\u76f8\u5173\u7684\u6587\u672c\u548c\u7528\u6237\u8eab\u4efd\u7684\u4fe1\u53f7\u3002<\/span>\u4f46\u662f\uff0c\u6587\u672c\u53ef\u7b56\u7565\u6027\u64cd\u4f5c\uff0c\u5e76\u5728\u4e0d\u540c\u7684\u522b\u540d\u91cd\u5f00\u8d26\u6237\uff0c\u8fd9\u8868\u660e\u8fd9\u4e9b\u65b9\u6cd5\u672c\u8eab\u6613\u788e\u3002<\/span>\u5728\u8fd9\u9879\u5de5\u4f5c\u4e2d\uff0c\u6211\u4eec\u7814\u7a76\u4e86\u53e6\u4e00\u79cd\u65b9\u5f0f\u662f\u81ea\u7136\u7a33\u5065\uff1a<\/span>\u8be5\u6a21\u5f0f\u4e2d\u7684\u4fe1\u606f\u4f20\u64ad\u3002<\/span>\u53ef\u4ee5\u672a\u7ecf\u9a8c\u8bc1\u7684\u4f20\u95fb\u7684\u771f\u5b9e\u6027\u7f51\u4e0a\u6d41\u4f20\u7684\u5355\u72ec\u7684\u6269\u6563\u6a21\u5f0f\u7684\u57fa\u7840\u4e0a\uff0c\u901a\u8fc7\u793e\u4f1a\u7f51\u7edc\u770b\u51fa\u7aef\u502a\uff1f<\/span>\u4f7f\u7528\u56fe\u5185\u6838\u6765\u63d0\u53d6Twitter\u7684\u7ea7\u8054\u7ed3\u6784\u590d\u6742\u7684\u62d3\u6251\u4fe1\u606f\uff0c\u6211\u4eec\u8bad\u7ec3\u7cbe\u786e\u7684\u9884\u6d4b\u6a21\u578b\u662f\u76f2\u76ee\u7684\u8bed\u8a00\uff0c\u7528\u6237\u8eab\u4efd\u548c\u65f6\u95f4\uff0c\u8fd9\u8868\u660e\u9996\u6b21\uff0c\u8fd9\u79cd\u201c\u6d88\u6bd2\u201d\u6269\u6563\u6a21\u5f0f\u662f\u975e\u5e38\u7fd4\u5b9e\u7684\u771f\u5b9e\u6027\u3002<\/span>\u6211\u4eec\u7684\u7814\u7a76\u7ed3\u679c\u8868\u660e\uff0c\u5728\u9002\u5f53\u7684\u805a\u96c6\uff0c\u4eba\u7fa4\u7684\u96c6\u4f53\u5171\u4eab\u6a21\u5f0f\u53ef\u4ee5\u63ed\u793a\u4f20\u95fb\u771f\u6216\u5047\u7684\u4e86\u6709\u529b\u7684\u4fe1\u53f7\uff0c\u5373\u4f7f\u662f\u5728\u4f20\u64ad\u7684\u65e9\u671f\u9636\u6bb5\u3002<\/span><\/section>\n

    \n

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

    \n
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    <\/p>\n

    \u57fa\u4e8e\u788e\u7247\u51dd\u7ed3\u7684<\/strong><\/span><\/p>\n

    \u6df7\u5408\u6210\u5458\u968f\u673a\u5757\u6a21\u578b<\/span><\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


    <\/section>\n<\/h3>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/span> <\/span><\/strong><\/span><\/section>\n
    Fragmentation Coagulation Based Mixed Membership Stochastic Blockmodel<\/span><\/section>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    <\/span>http:\/\/arxiv.org\/abs\/2002.00901<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/span> <\/span><\/strong><\/span><\/section>\n
    Zheng Yu, Xuhui Fan, Marcin Pietrasik, Marek Reformat<\/span><\/section>\n

    <\/span><\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong><\/span> \u6df7\u5408\u6210\u5458\u968f\u673a\u5757\u6a21\u578b\u301c\uff08MMSB\uff09\uff0c\u63d0\u51fa\u4e86\u4f5c\u4e3a\u5408\u9002\u7684\u7528\u4e8e\u5b66\u4e60\u590d\u6742\u7684\u9690\u85cf\u7ed3\u6784\u7684\u7f51\u7edc\u6570\u636e\u7684\u57fa\u7840\u7684\u72b6\u6001\u7684\u6700\u5148\u8fdb\u7684\u8d1d\u53f6\u65af\u5173\u7cfb\u7684\u65b9\u6cd5\u4e4b\u4e00\u3002<\/span>\u7136\u800c\uff0cMMSB\u7684\u5f53\u524d\u5236\u5242\u4ece\u4ee5\u4e0b\u4e24\u4e2a\u95ee\u9898\u906d\u53d7\uff1a<\/span>\uff081\uff09\uff0c\u5728\u73b0\u6709\u7684\u4fe1\u606f\u301c\uff08e.g\u5b9e\u4f53\u7684\u793e\u4f1a\u7ed3\u6784\u4fe1\u606f\uff09\u4e0d\u80fd\u5f88\u597d\u5730\u5d4c\u5165\u5728\u5efa\u6a21; \uff082\uff09\uff0c\u793e\u533a\u6f14\u5316\u4e0d\u80fd\u5f88\u597d\u5730\u63cf\u8ff0\u4e8e\u6587\u732e\u4e2d\u3002<\/span>\u56e0\u6b64\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u79cd\u975e\u53c2\u6570\u788e\u7247\u51dd\u7ed3\u57fa\u4e8e\u6df7\u5408\u968f\u673a\u6210\u5458\u5757\u6a21\u578b\uff08fcMMSB\uff09\u3002<\/span>\u6211\u4eec\u57fa\u4e8e\u5b9e\u4f53\u6a21\u578b\u8fdb\u884c\u805a\u7c7b\uff0c\u4ee5\u6355\u83b7\u5b9e\u4f53\u548c\u57fa\u7840\u8fde\u63a5\u7fa4\u96c6\u7684\u793e\u533a\u4fe1\u606f\u540c\u65f6\u5bfc\u51fa\u94fe\u63a5\u7ec4\u4fe1\u606f\u3002<\/span>\u6b64\u5916\uff0c\u8be5\u6a21\u578b\u63a8\u65ad\u7f51\u7edc\u7ed3\u6784\u548c\u6a21\u578b\u793e\u533a\u53d1\u5c55\uff0c\u901a\u8fc7\u5916\u89c2\u548c\u793e\u533a\u7684\u5931\u8e2a\uff0c\u4f7f\u7528\u79bb\u6563\u788e\u7247\u51dd\u8840\u8fc7\u7a0b\uff08DFCP\uff09\u8868\u73b0\u3002<\/span>\u901a\u8fc7\u4e0e\u7ec4\u517c\u5bb9\u6027\u77e9\u9635\u6574\u5408\u793e\u4f1a\u7ed3\u6784\uff0c\u6211\u4eec\u5f97\u51faMMSB\u7684\u4e00\u822c\u5316\u7248\u672c\u3002<\/span>\u4e0e\u73bb\u5229\u8036\u4f3d\u739b\uff08PG\uff09\u7684\u65b9\u6cd5\u7684\u9ad8\u6548Gibbs\u62bd\u6837\u65b9\u6848\u7528\u4e8e\u540e\u63a8\u8bba\u5b9e\u73b0\u3002<\/span>\u6211\u4eec\u9a8c\u8bc1\u6211\u4eec\u5bf9\u5408\u6210\u548c\u771f\u5b9e\u4e16\u754c\u7684\u6570\u636e\u6a21\u578b\u3002<\/span><\/section>\n


    <\/p>\n

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    <\/p>\n

    \u7f16\u8f91\uff1a\u5f20\u723d<\/p>\n<\/section>\n<\/blockquote>\n


    <\/p>\n

    \n

    \u58f0\u660e\uff1aArxiv\u6587\u7ae0\u6458\u8981\u7248\u6743\u5f52\u8bba\u6587\u539f\u4f5c\u8005\u6240\u6709\uff0c\u7531\u672c\u4eba\u8fdb\u884c\u7ffb\u8bd1\u6574\u7406\uff0c\u672a\u7ecf\u540c\u610f\u8bf7\u52ff\u968f\u610f\u8f6c\u8f7d\u3002\u672c\u7cfb\u5217\u5728\u5fae\u4fe1\u516c\u4f17\u53f7\u201c\u7f51\u7edc\u79d1\u5b66\u7814\u7a76\u901f\u9012\u201d\uff08\u5fae\u4fe1\u53f7netsci\uff09\u548c\u4e2a\u4eba\u535a\u5ba2 https:\/\/www.complexly.me \uff08\u63d0\u4f9bRSS\u8ba2\u9605\uff09\u8fdb\u884c\u540c\u6b65\u66f4\u65b0\u3002<\/p>\n<\/blockquote>\n


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    \u8fd1\u671f\u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u9012<\/strong><\/span><\/p>\n

    <\/strong><\/section>\n<\/section>\n<\/section>\n<\/section>\n


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    \u75ab\u82d7\u63a5\u79cd\u548c\u75be\u75c5\u8513\u5ef6\u4e4b\u95f4\u7684\u7ade\u4e89 | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901216\u7bc7<\/a>
    <\/p>\n

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    \u8054\u5408\u63a8\u65ad\u771f\u76f8\/\u8c23\u8a00\u53ca\u5176\u793e\u4f1a\u7f51\u7edc\u6e90 | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901225\u7bc7<\/a><\/p>\n

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    \u6316\u6398\u865a\u5047\u4fe1\u606f\u548c\u865a\u5047\u65b0\u95fb\uff1a\u6982\u5ff5\u3001\u65b9\u6cd5\u548c\u6700\u65b0\u8fdb\u5c55 | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901225\u7bc7<\/a>
    <\/p>\n

    \u6709\u5411\u7f51\u7edc\u65b9\u5411\u6027\u5982\u4f55\uff1f| \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901220\u7bc7<\/a><\/p>\n

    \u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01<\/a><\/span><\/strong>
    <\/section>\n

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    \u96c6\u667a\u4ff1\u4e50\u90e8QQ\u7fa4\uff5c877391004<\/span><\/strong><\/p>\n

    \u5546\u52a1\u5408\u4f5c\u53ca\u6295\u7a3f\u8f6c\u8f7d\uff5cswarma@swarma.org
    <\/span><\/strong><\/p>\n

    \n

    \u25c6 <\/span>\u25c6 <\/span>\u25c6<\/span><\/span><\/strong><\/strong><\/h1>\n<\/section>\n

    \u641c\u7d22\u516c\u4f17\u53f7\uff1a\u96c6\u667a\u4ff1\u4e50\u90e8<\/span><\/strong><\/span><\/p>\n


    <\/p>\n

    \u52a0\u5165\u201c\u6ca1\u6709\u56f4\u5899\u7684\u7814\u7a76\u6240\u201d<\/span><\/strong><\/span><\/p>\n

    \n

    <\/p>\n<\/section>\n

    \u8ba9\u82f9\u679c\u7838\u5f97\u66f4\u731b\u70c8\u4e9b\u5427\uff01<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section><\/div>\n","protected":false},"excerpt":{"rendered":"

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