{"id":20879,"date":"2020-08-28T22:46:37","date_gmt":"2020-08-28T14:46:37","guid":{"rendered":"https:\/\/swarma.org\/?p=20879"},"modified":"2020-08-28T22:46:37","modified_gmt":"2020-08-28T14:46:37","slug":"%e5%9c%a8%e7%ba%bf%e6%b4%bb%e5%8a%a8%e4%b8%8e%e7%89%a9%e7%90%86%e7%8e%af%e5%a2%83%e8%81%94%e5%90%88%e5%bb%ba%e6%a8%a1%e6%8f%90%e9%ab%98%e6%b8%b8%e5%ae%a2%e8%a1%8c%e4%b8%ba%e9%a2%84%e6%b5%8b%e8%83%bd","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=20879","title":{"rendered":"\u5728\u7ebf\u6d3b\u52a8\u4e0e\u7269\u7406\u73af\u5883\u8054\u5408\u5efa\u6a21\u63d0\u9ad8\u6e38\u5ba2\u884c\u4e3a\u9884\u6d4b\u80fd\u529b | \u7f51\u7edc\u79d1\u5b66\u8bba\u6587\u901f\u901213\u7bc7"},"content":{"rendered":"
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\u96c6\u667a\u6591\u56fe\u6700\u65b0\u8bba\u6587\u680f\u76ee\uff0c\u5173\u6ce8\u590d\u6742\u7cfb\u7edf\u3001\u7f51\u7edc\u79d1\u5b66\u3001\u8ba1\u7b97\u793e\u4f1a\u79d1\u5b66\u3001\u7edf\u8ba1\u7269\u7406\u7b49\u9886\u57df\u7684\u524d\u6cbf\u8fdb\u5c55\uff0c\u6bcf\u5929\u5373\u65f6\u66f4\u65b0\u76f8\u5173\u9876\u520a\u8bba\u6587\uff0c\u548c\u6700\u65b0arXiv\u9884\u5370\u672c\u8bba\u6587\u3002<\/span>
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\u672c\u6587\u662f\u5bf9\u8fd1\u671f<\/span>arX<\/span>iv<\/span>\u8bba\u6587\u7684<\/span>\u6c47\u603b\u7f16\u8bd1\uff08by \u5f69\u4e91\u5c0f\u8bd1\uff09\u3002\u66f4\u591a\u6700\u65b0\u8bba\u6587\uff0c\u8bf7\u626b\u4e8c\u7ef4\u7801\u83b7\u53d6\u3002<\/span><\/section>\n

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    \u5728\u7ebf\u6d3b\u52a8\u4e0e\u7269\u7406\u73af\u5883\u8054\u5408\u5efa\u6a21\u63d0\u9ad8\u6e38\u5ba2\u884c\u4e3a\u9884\u6d4b\u80fd\u529b\uff1b<\/span><\/section>\n<\/h2>\n<\/li>\n
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    \u5229\u7528\u6295\u5f71\u5bc6\u5ea6\u56fe\u6df1\u5ea6\u5b66\u4e60\u6d4b\u91cf\u6e4d\u6d41\u6c14\u4f53\u7684\u5149\u8c31\u6307\u6570\uff1b<\/span><\/h2>\n<\/li>\n
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  • \n

    Spotify \u7f51\u7edc\u4e2d\u7684\u6d41\u884c\u5ea6\u548c\u4e2d\u5fc3\u5ea6: \u7279\u5f81\u5411\u91cf\u4e2d\u5fc3\u5ea6\u7684\u5173\u952e\u8dc3\u8fc1\uff1b<\/span><\/h2>\n<\/li>\n
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    \u4ece Twitter \u884d\u751f\u51fa\u6765\u7684\u957f\u671f\u8bcd\u9891\u52a8\u529b\u5b66\u5df2\u7ecf\u88ab\u7834\u574f: \u4e00\u79cd\u5b9a\u5236\u7684\u65b9\u6cd5\u6765\u68c0\u6d4b\u548c\u6d88\u9664\u65f6\u95f4\u5e8f\u5217\u96c6\u5408\u4e2d\u7684\u75c5\u7406\uff1b<\/span><\/h2>\n

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    \u5728\u7ebf\u6d3b\u52a8\u4e0e\u7269\u7406\u73af\u5883\u8054\u5408\u5efa\u6a21<\/strong><\/span><\/p>\n

    \u63d0\u9ad8\u6e38\u5ba2\u884c\u4e3a\u9884\u6d4b\u80fd\u529b<\/strong><\/span><\/strong><\/p>\n

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


    <\/section>\n<\/h2>\n
    \u539f\u6587\u6807\u9898\uff1a
    <\/span><\/strong><\/section>\n

    Joint Mode<\/span>lling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors<\/span><\/h2>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    https:\/\/arxiv.org\/abs\/2008.11400<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Manpreet Kaur,Flora D. Salim,Yongli Ren,Jeffrey Chan,Martin Tomko,Mark Sanderson<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u672c\u6587\u5229\u7528\u533f\u540d(opt in) Wi-Fi \u5173\u8054\u548c\u5546\u573a\u8fd0\u8425\u5546\u8bb0\u5f55\u7684\u6d4f\u89c8\u8bb0\u5f55\uff0c\u7814\u7a76\u4e86\u5927\u578b\u5ba4\u5185\u8d2d\u7269\u4e2d\u5fc3\u7528\u6237\u7684\u7f51\u7edc\u7269\u7406\u884c\u4e3a\u3002\u6211\u4eec\u7684\u5206\u6790\u8868\u660e\uff0c\u8bb8\u591a\u7528\u6237\u5728\u4ed6\u4eec\u7684\u7f51\u7edc\u6d3b\u52a8\u548c\u4ed6\u4eec\u7684\u7269\u7406\u73af\u5883\u4e4b\u95f4\u8868\u73b0\u51fa\u9ad8\u5ea6\u7684\u76f8\u5173\u6027\u3002\u4e3a\u4e86\u627e\u5230\u8fd9\u79cd\u76f8\u5173\u6027\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u79cd\u673a\u5236\uff0c\u7528 DBPedia \u6982\u5ff5\u4e2d\u4e30\u5bcc\u7684\u5206\u7c7b\u4fe1\u606f\u5bf9\u7269\u7406\u7a7a\u95f4\u8fdb\u884c\u8bed\u4e49\u6807\u8bb0\uff0c\u5e76\u8ba1\u7b97\u4e0a\u4e0b\u6587\u76f8\u4f3c\u5ea6\u6765\u8868\u793a\u7528\u6237\u5728\u5546\u573a\u4e0a\u4e0b\u6587\u4e2d\u7684\u6d3b\u52a8\u3002\u6211\u4eec\u8bba\u8bc1\u4e86\u7f51\u7edc\u7269\u7406\u8bed\u5883\u76f8\u4f3c\u6027\u5728\u4e24\u79cd\u60c5\u51b5\u4e0b\u7684\u5e94\u7528: \u7528\u6237\u8bbf\u95ee\u610f\u56fe\u5206\u7c7b\u548c\u672a\u6765\u4f4d\u7f6e\u9884\u6d4b\u3002\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0c\u5229\u7528\u8bed\u5883\u76f8\u4f3c\u6027\u53ef\u4ee5\u663e\u8457\u63d0\u9ad8\u5e94\u7528\u7a0b\u5e8f\u7684\u51c6\u786e\u6027\u3002<\/span><\/section>\n


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    \u5229\u7528\u6295\u5f71\u5bc6\u5ea6\u56fe\u6df1\u5ea6\u5b66\u4e60<\/strong><\/span><\/p>\n

    \u6d4b\u91cf\u6e4d\u6d41\u6c14\u4f53\u7684\u5149\u8c31\u6307\u6570<\/strong><\/span><\/p>\n

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

    <\/span>
    <\/h2>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong>
    <\/span><\/section>\n

    Measuring the <\/span>spectral index of turbulent gas with deep learning from projected density maps<\/span><\/h2>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2008.11287<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Piero Trevisan,Mario Pasquato,Alessandro Ballone,Michela Mapelli<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u6e4d\u6d41\u5728\u5206\u5b50\u4e91\u4e2d\u7684\u6052\u661f\u5f62\u6210\u8fc7\u7a0b\u4e2d\u8d77\u7740\u5173\u952e\u4f5c\u7528\uff0c\u5f71\u54cd\u7740\u661f\u56e2\u7684\u539f\u59cb\u5c5e\u6027\u3002\u7531\u4e8e\u5efa\u7acb\u5f53\u4eca\u7269\u4f53\u7684\u6a21\u578b\u53d6\u51b3\u4e8e\u6211\u4eec\u5bf9\u5176\u521d\u59cb\u6761\u4ef6\u7684\u7406\u89e3\uff0c\u5bf9\u6e4d\u6d41\u7684\u66f4\u597d\u7ea6\u675f\u53ef\u4ee5\u5bfc\u81f4\u94f6\u6cb3\u8003\u53e4\u5b66\u3001\u661f\u56e2\u52a8\u529b\u5b66\u548c\u6052\u661f\u5f62\u6210\u65b9\u9762\u7684\u610f\u5916\u6536\u83b7\u3002\u5728\u89c2\u6d4b\u4e0a\uff0c\u7ea6\u675f\u6e4d\u6d41\u6c14\u4f53\u7684\u5149\u8c31\u6307\u6570\u901a\u5e38\u9700\u8981\u6839\u636e\u901f\u5ea6\u56fe\u8ba1\u7b97\u5149\u8c31\u3002\u8fd9\u91cc\u6211\u4eec\u5efa\u8bae\uff0c\u5149\u8c31\u6307\u6570\u7684\u4fe1\u606f\u53ef\u4ee5\u76f4\u63a5\u63a8\u65ad\u4ece\u67f1\u5bc6\u5ea6\u56fe(\u53ef\u80fd\u83b7\u5f97\u7684\u5c18\u57c3\u53d1\u5c04\/\u5438\u6536)\u901a\u8fc7\u6df1\u5165\u5b66\u4e60\u3002\u6211\u4eec\u4f7f\u7528\u6c34\u6587\u6a21\u62df\u7a0b\u5e8f RAMSES\uff0c\u4ece\u5927\u91cf\u7684\u81ea\u9002\u5e94\u7f51\u683c\u7ec6\u5316\u6e4d\u6d41\u6c14\u4f53\u6a21\u62df\u751f\u6210\u6a21\u62df\u5bc6\u5ea6\u56fe\u3002\u6211\u4eec\u8bad\u7ec3\u4e86\u4e00\u4e2a\u7f8e\u56fd\u6709\u7ebf\u7535\u89c6\u65b0\u95fb\u7f51\u7684\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u6765\u9884\u6d4b\u6e4d\u6d41\u6307\u6570\uff0c\u5728\u9a8c\u8bc1\u548c\u6d4b\u8bd5\u4e2d\u4f18\u5316\u8d85\u53c2\u6570\u7684\u62d2\u7edd\u96c6\u3002\u6211\u4eec\u91c7\u7528\u7684 CNN \u6a21\u578b\u5728\u6211\u4eec\u575a\u6301\u96c6\u7684\u9884\u6d4b\u4e0a\u8fbe\u5230\u4e860.024\u7684\u5747\u65b9\u5dee\uff0c\u8d85\u8fc7\u4e86\u57fa\u672c\u7684\u9891\u8c31\u6307\u6570\uff0c\u8303\u56f4\u4ece3\u52304.5\u3002\u6211\u4eec\u8fd8\u901a\u8fc7\u5c06\u6211\u4eec\u7684\u6a21\u578b\u5e94\u7528\u4e8e\u4fee\u6539\u540e\u7684\u62b5\u6297\u96c6\u56fe\u50cf\uff0c\u4ee5\u53ca\u5728\u4e0d\u540c\u5206\u8fa8\u7387\u4e0b\u8fd0\u884c\u6a21\u62df\u83b7\u5f97\u7684\u56fe\u50cf\u6765\u6267\u884c\u9c81\u68d2\u6027\u6d4b\u8bd5\u3002\u5728\u6a21\u62df\u5bc6\u5ea6\u56fe\u4e0a\u7684\u8fd9\u4e2a\u521d\u6b65\u7ed3\u679c\u9f13\u52b1\u4e86\u5728\u771f\u5b9e\u6570\u636e\u4e0a\u7684\u8fdb\u4e00\u6b65\u53d1\u5c55\uff0c\u5728\u8fd9\u4e9b\u6570\u636e\u4e0a\u9700\u8981\u8003\u8651\u89c2\u6d4b\u504f\u5dee\u548c\u5176\u4ed6\u95ee\u9898\u3002<\/span><\/section>\n


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    \u7528\u4e8e\u65b0\u6d6a\u5fae\u535a\u7528\u6237\u6291\u90c1<\/strong><\/span><\/p>\n

    \u68c0\u6d4b\u7684\u591a\u4efb\u52a1\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5<\/strong><\/span><\/p>\n

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

    <\/span>
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    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong>
    <\/span><\/section>\n

    A Multitask Deep Learning Approach for User Depression Detection on Sina Weibo<\/span><\/h2>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    https:\/\/arxiv.org\/abs\/2008.11708<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Yiding Wang,Zhenyi Wang,Chenghao Li,Yilin Zhang,Haizhou Wang<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u8fd1\u5e74\u6765\uff0c\u7531\u4e8e\u6291\u90c1\u75c7\u7684\u7cbe\u795e\u8d1f\u62c5\uff0c\u5371\u53ca\u751f\u547d\u5b89\u5168\u7684\u4eba\u6570\u6025\u5267\u589e\u52a0\u3002\u5728\u7ebf\u793e\u4ea4\u7f51\u7edc(OSN)\u4e3a\u7814\u7a76\u4eba\u5458\u63d0\u4f9b\u4e86\u68c0\u6d4b\u6291\u90c1\u75c7\u60a3\u8005\u7684\u53e6\u4e00\u4e2a\u89c6\u89d2\u3002\u7136\u800c\uff0c\u73b0\u6709\u7684\u57fa\u4e8e\u673a\u5668\u5b66\u4e60\u7684\u6291\u90c1\u75c7\u68c0\u6d4b\u7814\u7a76\u4ecd\u7136\u5b58\u5728\u8f83\u4f4e\u7684\u5206\u7c7b\u6027\u80fd\uff0c\u8fd9\u8868\u660e\u5b83\u4eec\u5728\u7279\u5f81\u5de5\u7a0b\u65b9\u9762\u5177\u6709\u663e\u8457\u7684\u6539\u8fdb\u6f5c\u529b\u3002\u5728\u8fd9\u7bc7\u8bba\u6587\u4e2d\uff0c\u6211\u4eec\u5728\u65b0\u6d6a\u5fae\u535a\u4e0a\u624b\u5de5\u5efa\u7acb\u4e86\u4e00\u4e2a\u5927\u7684\u6570\u636e\u96c6\uff0c\u5373\u5fae\u535a\u7528\u6237\u6291\u90c1\u68c0\u6d4b\u6570\u636e\u96c6(WU3D)\u3002\u5b83\u5305\u62ec\u8d85\u8fc720,000\u4e2a\u6b63\u5e38\u7528\u6237\u548c\u8d85\u8fc710,000\u4e2a\u6291\u90c1\u7528\u6237\uff0c\u8fd9\u4e24\u8005\u90fd\u662f\u7531\u4e13\u4e1a\u4eba\u5458\u624b\u52a8\u6807\u8bb0\u548c\u590d\u67e5\u7684\u3002\u901a\u8fc7\u5206\u6790\u7528\u6237\u7684\u6587\u672c\u3001\u793e\u4f1a\u884c\u4e3a\u548c\u4e0a\u4f20\u7684\u56fe\u7247\uff0c\u5f52\u7eb3\u5e76\u63d0\u51fa\u4e86\u5341\u4e2a\u7edf\u8ba1\u7279\u5f81\u3002\u540c\u65f6\uff0c\u5229\u7528\u6d41\u884c\u7684\u9884\u8bad\u7ec3\u6a21\u578b XLNet \u63d0\u53d6\u57fa\u4e8e\u6587\u672c\u7684\u8bcd\u7279\u5f81\u3002\u5728\u6b64\u57fa\u7840\u4e0a\uff0c\u63d0\u51fa\u4e86\u4e00\u79cd\u65b0\u7684\u6df1\u5c42\u795e\u7ecf\u7f51\u7edc\u5206\u7c7b\u6a21\u578b\u2014\u2014\u878d\u5408\u7f51\u7edc(FN) \uff0c\u5e76\u5229\u7528\u4e0a\u8ff0\u7279\u5f81\u5bf9\u878d\u5408\u7f51\u7edc\u8fdb\u884c\u8bad\u7ec3\u3002\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\uff0c\u5728\u6d4b\u8bd5\u6570\u636e\u96c6\u4e0a\uff0cFusionNet \u83b7\u5f97\u4e86\u6700\u9ad8\u7684 f1\u5206\u65700.9772\u3002\u4e0e\u5df2\u6709\u7684\u7814\u7a76\u76f8\u6bd4\uff0c\u8be5\u65b9\u6cd5\u5bf9\u4e0d\u5e73\u8861\u8bad\u7ec3\u6837\u672c\u5177\u6709\u66f4\u597d\u7684\u5206\u7c7b\u6027\u80fd\u548c\u9c81\u68d2\u6027\u3002\u6211\u4eec\u7684\u5de5\u4f5c\u8fd8\u63d0\u4f9b\u4e86\u4e00\u79cd\u65b0\u7684\u65b9\u6cd5\u6765\u68c0\u6d4b\u6291\u90c1\u75c7\u5728\u5176\u4ed6 OSN \u5e73\u53f0\u3002<\/span><\/section>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    Spotify \u7f51\u7edc\u4e2d\u7684\u6d41\u884c\u5ea6\u548c\u4e2d\u5fc3\u5ea6: <\/strong><\/span><\/p>\n

    \u7279\u5f81\u5411\u91cf\u4e2d\u5fc3\u5ea6\u7684\u5173\u952e\u8dc3\u8fc1<\/strong><\/span><\/p>\n

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

    <\/span>
    <\/h2>\n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong>
    <\/span><\/section>\n

    Popularity and Centrality in Spotify Networks: Critical transitions in eigenvector centrality<\/span><\/h2>\n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    http:\/\/arxiv.org\/abs\/2008.11428<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Tobin South,Matthew Roughan,Lewis Mitchell<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u6570\u5b57\u97f3\u4e50\u63a5\u5165\u7684\u73b0\u4ee3\u65f6\u4ee3\u589e\u52a0\u4e86\u6709\u5173\u97f3\u4e50\u6d88\u8d39\u548c\u521b\u4f5c\u7684\u6570\u636e\u7684\u53ef\u7528\u6027\uff0c\u4fc3\u8fdb\u4e86\u5bf9\u8fde\u63a5\u97f3\u4e50\u7684\u590d\u6742\u7f51\u7edc\u7684\u5927\u89c4\u6a21\u5206\u6790\u3002\u5173\u4e8e\u7528\u6237\u6d41\u5a92\u4f53\u884c\u4e3a\u7684\u6570\u636e\uff0c\u4ee5\u53ca\u97f3\u4e50\u534f\u4f5c\u7f51\u7edc\u5bf9\u4e8e\u65b0\u7684\u6570\u636e\u9a71\u52a8\u7684\u63a8\u8350\u7cfb\u7edf\u5c24\u4e3a\u91cd\u8981\u3002\u5982\u679c\u6ca1\u6709\u5f7b\u5e95\u7684\u5206\u6790\uff0c\u8fd9\u6837\u7684\u534f\u4f5c\u56fe\u53ef\u80fd\u4f1a\u5bfc\u81f4\u9519\u8bef\u6216\u8bef\u5bfc\u6027\u7684\u7ed3\u8bba\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u5c55\u793a\u4e86\u6765\u81ea\u5728\u7ebf\u97f3\u4e50\u6d41\u5a92\u4f53\u670d\u52a1 Spotify \u7684\u827a\u672f\u5bb6\u4eec\u7684\u4e00\u4e2a\u65b0\u7684\u5408\u4f5c\u7f51\u7edc\uff0c\u5e76\u5c55\u793a\u4e86\u827a\u672f\u5bb6\u4eec\u7684\u7279\u5f81\u5411\u91cf\u4e2d\u5fc3\u6027\u7684\u4e00\u4e2a\u91cd\u8981\u53d8\u5316\uff0c\u56e0\u4e3a\u4f4e\u6d41\u884c\u5ea6\u7684\u827a\u672f\u5bb6\u4eec\u88ab\u79fb\u9664\u4e86\u3002\u4ece\u53e4\u5178\u827a\u672f\u5bb6\u5230\u8bf4\u5531\u827a\u672f\u5bb6\uff0c\u4e2d\u5fc3\u5730\u4f4d\u7684\u91cd\u5927\u53d8\u5316\u8868\u660e\u4e86\u7f51\u7edc\u66f4\u6df1\u5c42\u6b21\u7684\u7ed3\u6784\u7279\u6027\u3002\u63d0\u51fa\u4e86\u4e00\u4e2a\u793e\u4f1a\u7fa4\u4f53\u4e2d\u5fc3\u6027\u6a21\u578b\u6765\u6a21\u62df\u8fd9\u79cd\u4e34\u754c\u8f6c\u79fb\u884c\u4e3a\uff0c\u5e76\u89c2\u5bdf\u5230\u4e3b\u8981\u7279\u5f81\u5411\u91cf\u4e4b\u95f4\u7684\u5207\u6362\u3002\u8fd9\u4e2a\u6a21\u578b\u63d0\u51fa\u4e86\u4e00\u4e2a\u65b0\u7684\u7814\u7a76\u7684\u5f71\u54cd\uff0c\u6d41\u884c\u504f\u89c1\u7684\u4e2d\u5fc3\u6027\u548c\u91cd\u8981\u6027\u662f\u5982\u4f55\u8861\u91cf\uff0c\u5e76\u63d0\u4f9b\u4e86\u4e00\u4e2a\u65b0\u7684\u5de5\u5177\uff0c\u68c0\u67e5\u8fd9\u79cd\u7f3a\u9677\u7684\u7f51\u7edc\u3002<\/span>\u57fa\u4e8e\u4e0d\u771f\u5b9e\u7b54\u6848\u67e5\u8be2\u7684\u8c23\u8a00\u6e90\u68c0\u6d4b\u3002<\/span><\/section>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u7279\u5f81\u5411\u91cf\u4e2d\u5fc3\u6027\u6392\u5e8f\u7684\u76f2\u63a8\u65ad<\/strong><\/span><\/strong><\/p>\n

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


    <\/p>\n

    \n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong>
    <\/span><\/section>\n<\/h2>\n

    Blind Inference of Eigenvector Centrality Rankings<\/span><\/h2>\n

    \n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    https:\/\/arxiv.org\/abs\/2008.11330<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    T. Mitch<\/span>ell Roddenberry,Santiago Segarra<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u6211\u4eec\u8003\u8651\u7684\u95ee\u9898\u662f\u4f30\u8ba1\u7f51\u7edc\u7684\u7279\u5f81\u5411\u91cf\u4e2d\u5fc3\u6027\u53ea\u4ece\u8282\u70b9\u4e0a\u7684\u6570\u636e\uff0c\u6ca1\u6709\u4fe1\u606f\u7684\u7f51\u7edc\u62d3\u6251\u3002\u5229\u7528\u56fe\u5f62\u8fc7\u6ee4\u5668\u7684\u901a\u7528\u6027\u6765\u5efa\u7acb\u7f51\u7edc\u8fc7\u7a0b\u6a21\u578b\uff0c\u8282\u70b9\u4e0a\u652f\u6301\u7684\u6570\u636e\u88ab\u5efa\u6a21\u4e3a\u4e00\u4e2a\u56fe\u5f62\u4fe1\u53f7\uff0c\u8be5\u4fe1\u53f7\u901a\u8fc7\u5e94\u7528\u4e8e\u767d\u566a\u58f0\u7684\u56fe\u5f62\u8fc7\u6ee4\u5668\u7684\u8f93\u51fa\u83b7\u5f97\u3002\u6211\u4eec\u8bd5\u56fe\u7b80\u5316\u4e2d\u5fc3\u6027\u6392\u5e8f\u7684\u4e0b\u6e38\u4efb\u52a1\uff0c\u7ed5\u8fc7\u7f51\u7edc\u62d3\u6251\/\u63a8\u7406\u65b9\u6cd5\uff0c\u800c\u662f\u76f4\u63a5\u4ece\u56fe\u4fe1\u53f7\u63a8\u65ad\u56fe\u7684\u4e2d\u5fc3\u6027\u7ed3\u6784\u3002\u4e3a\u6b64\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u4e24\u4e2a\u7b80\u5355\u7684\u7b97\u6cd5\u6392\u5e8f\u4e00\u7ec4\u8282\u70b9\u8fde\u63a5\u7684\u4e00\u4e2a\u672a\u89c2\u6d4b\u7684\u8fb9\u96c6\u3002\u6211\u4eec\u7ed9\u51fa\u4e86\u8fd9\u4e9b\u7b97\u6cd5\u7684\u6e10\u8fd1\u548c\u975e\u6e10\u8fd1\u4fdd\u8bc1\uff0c\u63ed\u793a\u4e86\u51b3\u5b9a\u624b\u5934\u4efb\u52a1\u590d\u6742\u6027\u7684\u5173\u952e\u7279\u5f81\u3002\u6700\u540e\uff0c\u6211\u4eec\u6f14\u793a\u4e86\u6240\u63d0\u51fa\u7684\u7b97\u6cd5\u5728\u5408\u6210\u6570\u636e\u96c6\u548c\u771f\u5b9e\u6570\u636e\u96c6\u4e0a\u7684\u884c\u4e3a\u3002<\/span><\/section>\n<\/h2>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u201c\u6211\u7684\u670b\u53cb\u60f3\u8c08\u8bba\u5b83\uff0c\u800c\u6211\u6ca1\u6709\u201d<\/strong><\/span><\/p>\n

    \u2014\u2014\u5bf9\u793e\u4ea4\u5e73\u53f0\u4e0a\u5220\u9664\u9690\u79c1\u7684\u7406\u89e3<\/strong><\/span><\/p>\n

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

    <\/span>
    <\/h2>\n

    \n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong>
    <\/span><\/section>\n<\/h2>\n

    “My Friend Wanted to Talk About It and I Didn’t”: Understanding Perceptions of Deletion Privacy in Social Platforms<\/span><\/h2>\n

    \n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    https:\/\/arxiv.org\/abs\/2008.11317<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Mohsen Minaei,Mainack Mondal,Aniket Kate<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u5168\u7403\u76d1\u7ba1\u673a\u6784\u548c\u7528\u6237\u5bf9\u88ab\u9057\u5fd8\u6743\u95ee\u9898\u7684\u5173\u6ce8\u548c\u610f\u8bc6\u65e5\u76ca\u589e\u5f3a\u3002\u4e3a\u4e86\u89e3\u51b3\u8fd9\u4e9b\u9690\u79c1\u95ee\u9898\uff0c\u793e\u4ea4\u5e73\u53f0\u63d0\u4f9b\u4e86\u5220\u9664\u673a\u5236\uff0c\u8ba9\u7528\u6237\u6709\u673a\u4f1a\u5220\u9664\u4ed6\u4eec\u7684\u5185\u5bb9\uff0c\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u793e\u4ea4\u5e73\u53f0\u4f1a\u81ea\u52a8\u5220\u9664\u4ed6\u4eec\u3002\u7136\u800c\uff0c\u8fd9\u4f7f\u5f97\u7528\u6237\u5f88\u5bb9\u6613\u53d7\u5230\u654c\u4eba\u7684\u653b\u51fb\uff0c\u8fd9\u4e9b\u654c\u4eba\u4e13\u95e8\u5bfb\u627e\u5177\u6709\u7834\u574f\u6027\u7684\u7528\u6237\u5185\u5bb9\uff0c\u5e76\u5229\u7528\u5220\u9664\u884c\u4e3a\u4f5c\u4e3a\u4e00\u4e2a\u5f3a\u70c8\u7684\u4fe1\u53f7\u3002\u672c\u6587\u901a\u8fc7\u5bf9191\u540d\u88ab\u8bd5\u7684\u7528\u6237\u8c03\u67e5\uff0c\u7814\u7a76\u4e86\u4ed6\u4eec\u4e4b\u524d\u7684\u5220\u9664\u7ecf\u5386\u3001\u5bf9\u5220\u9664\u9690\u79c1\u7684\u671f\u671b\u4ee5\u53ca\u4ed6\u4eec\u5bf9\u73b0\u6709\u5220\u9664\u673a\u5236\u7684\u8ba4\u8bc6\u3002\u6211\u4eec\u53d1\u73b0\u8d85\u8fc780% \u7684\u7528\u6237\u81f3\u5c11\u5220\u9664\u4e86\u4e00\u7bc7\u793e\u4ea4\u5a92\u4f53\u5e16\u5b50\uff0c35% \u7684\u5220\u9664\u53d1\u751f\u5728\u53d1\u5e03\u4e00\u5468\u4e4b\u540e\u3002\u867d\u7136\u4e0e\u4f1a\u8005\u8ba4\u4e3a\u5220\u9664\u5185\u5bb9\u7684\u4e3b\u8981\u539f\u56e0\u662f\u7531\u4e8e\u65f6\u95f4\u6d41\u901d\u800c\u5bfc\u81f4\u5185\u5bb9\u4e0d\u76f8\u5173\uff0c\u4f46\u5927\u591a\u6570\u4e0e\u4f1a\u8005\u8ba4\u4e3a\u5220\u9664\u5185\u5bb9\u8868\u660e\u88ab\u5220\u9664\u7684\u5185\u5bb9\u5305\u62ec\u5bf9\u6240\u6709\u8005\u6709\u5bb3\u7684\u4fe1\u606f\u3002\u91cd\u8981\u7684\u662f\uff0c\u76f8\u5bf9\u4e8e\u793e\u4ea4\u5708\u4e2d\u7684\u4efb\u4f55\u5176\u4ed6\u4e2a\u4eba\uff0c\u53c2\u4e0e\u8005\u66f4\u52a0\u5173\u5fc3\u4ed6\u4eec\u7684\u5220\u9664\u4f1a\u88ab\u5927\u578b\u6570\u636e\u6536\u96c6\u8005(\u4f8b\u5982\uff0c\u7b2c\u4e09\u65b9\u6570\u636e\u6536\u96c6\u516c\u53f8\u6216\u653f\u5e9c)\u6ce8\u610f\u5230\u3002\u6b64\u5916\uff0c\u4e09\u5206\u4e4b\u4e00\u7684\u53c2\u4e0e\u8005\u8ba4\u4e3a\u4ed6\u4eec\u53ef\u80fd\u53d7\u5230\u8fd9\u4e9b\u5927\u89c4\u6a21\u6570\u636e\u6536\u96c6\u5668\u7684\u653b\u51fb\u3002\u6700\u540e\uff0c\u4e0e\u4f1a\u8005\u8ba4\u4e3a\u76ee\u524d\u7684\u5220\u9664\u673a\u5236\u4e0d\u8db3\u4ee5\u4fdd\u62a4\u5176\u5220\u9664\u7684\u9690\u79c1\uff0c\u5e76\u4e3a\u4eca\u540e\u7684\u5220\u9664\u673a\u5236\u63d0\u4f9b\u6307\u5bfc\u3002<\/span><\/section>\n<\/h2>\n


    <\/span><\/h2>\n
    \n
    \n
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    <\/p>\n

    \n
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    <\/p>\n

    \u8bc6\u522b\u865a\u5047\u4fe1\u606f\u6d3b\u52a8\u4e2d\u7684\u534f\u8c03\u8d26\u6237<\/strong><\/span><\/p>\n

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

    <\/span>
    <\/h2>\n

    \n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong>
    <\/span><\/section>\n<\/h2>\n

    Identifying Coordinated Accounts in Disinformation Campaigns<\/span><\/h2>\n

    \n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    https:\/\/arxiv.org\/abs\/2008.11308<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Karishma Sharma,Emilio Ferrara,Yan Liu<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u793e\u4ea4\u5a92\u4f53\u4e0a\u7684\u865a\u5047\u4fe1\u606f\u6d3b\u52a8\uff0c\u5305\u62ec\u4ece\u6076\u610f\u8d26\u6237\u5230\u64cd\u7eb5\u516c\u4f17\u8206\u8bba\u7684\u534f\u8c03\u6d3b\u52a8\uff0c\u5df2\u7ecf\u53d8\u5f97\u8d8a\u6765\u8d8a\u666e\u904d\u3002\u8d8a\u6765\u8d8a\u591a\u7684\u8bc1\u636e\u8868\u660e\uff0c\u793e\u4ea4\u5a92\u4f53\u6ee5\u7528\u5f71\u54cd\u4e86\u5176\u4ed6\u56fd\u5bb6\u7684\u653f\u6cbb\u548c\u793e\u4f1a\u95ee\u9898\uff0c\u5f15\u8d77\u4e86\u8bb8\u591a\u5173\u5207\u3002\u67e5\u660e\u548c\u9884\u9632\u534f\u8c03\u4e00\u81f4\u7684\u8fd0\u52a8\u5bf9\u4e8e\u4ece\u6e90\u5934\u4e0a\u5904\u7406\u865a\u5047\u4fe1\u606f\u81f3\u5173\u91cd\u8981\u3002\u73b0\u6709\u7684\u68c0\u6d4b\u6076\u610f\u6d3b\u52a8\u7684\u65b9\u6cd5\u5bf9\u534f\u8c03\u884c\u4e3a\u4f5c\u51fa\u4e25\u683c\u7684\u5047\u8bbe\uff0c\u4f8b\u5982\u6076\u610f\u8d26\u6237\u6267\u884c\u540c\u6b65\u884c\u52a8\u6216\u5171\u4eab\u88ab\u8ba4\u4e3a\u8868\u660e\u534f\u8c03\u7684\u529f\u80fd\u3002\u53e6\u4e00\u4e9b\u5219\u8981\u6c42\u5728\u8fd0\u52a8\u4e2d\u66b4\u9732\u4e00\u90e8\u5206\u6076\u610f\u8d26\u6237\uff0c\u4ee5\u68c0\u6d4b\u5176\u4f59\u90e8\u5206\u3002\u8fd9\u4e9b\u5047\u8bbe\u5927\u5927\u9650\u5236\u4e86\u73b0\u6709\u65b9\u6cd5\u7684\u6709\u6548\u6027\u3002\u76f8\u6bd4\u4e4b\u4e0b\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u57fa\u4e8e\u65f6\u95f4\u70b9\u8fc7\u7a0b\u7684 AMDN (concentrated Mixture Density Network)\u6765\u81ea\u52a8\u63ed\u793a\u8d26\u6237\u6d3b\u52a8\u548c\u8d26\u6237\u95f4\u4ea4\u4e92\u4e2d\u7684\u534f\u8c03\u7fa4\u4f53\u884c\u4e3a\u3002\u6b64\u5916\uff0c\u6211\u4eec\u5229\u7528\u5b66\u5230\u7684\u6a21\u578b\u6765\u7406\u89e3\u548c\u89e3\u91ca\u865a\u5047\u4fe1\u606f\u6d3b\u52a8\u4e2d\u534f\u8c03\u8d26\u6237\u7684\u884c\u4e3a\u3002\u6211\u4eec\u53d1\u73b0\uff0c\u534f\u8c03\u8d26\u6237\u4e4b\u95f4\u7684\u5e73\u5747\u5f71\u54cd\u529b\u6700\u5927\uff0c\u800c\u8fd9\u4e9b\u8d26\u6237\u5e76\u6ca1\u6709\u53d7\u5230\u5e38\u89c4\u8d26\u6237\u7684\u592a\u5927\u5f71\u54cd\u3002\u6211\u4eec\u5bf9\u4fc4\u7f57\u65af\u5e72\u6d89\u7f8e\u56fd\u5927\u9009\u7684 Twitter \u6570\u636e\u8fdb\u884c\u4e86\u6709\u6548\u6027\u8bc4\u4f30\u3002\u6b64\u5916\uff0c\u6211\u4eec\u4ece Twitter \u4e0a\u6536\u96c6\u7684\u65b0\u578b\u51a0\u72b6\u75c5\u6bd2\u80ba\u708e\u536b\u751f\u7ec4\u7ec7\u7684\u6570\u636e\u4e2d\u53d1\u73b0\u4e86\u865a\u5047\u4fe1\u606f\u6d3b\u52a8\uff0c\u5e76\u63d0\u4f9b\u4e86\u7b2c\u4e00\u4e2a\u8bc1\u636e\u548c\u5206\u6790\uff0c\u8bc1\u660e\u5728\u6b63\u5728\u8fdb\u884c\u7684\u6d41\u884c\u75c5\u4e2d\u5b58\u5728\u7740\u534f\u8c03\u7684\u865a\u5047\u4fe1\u606f\u6d3b\u52a8\u3002<\/span><\/section>\n<\/h2>\n


    <\/span><\/h2>\n
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    <\/p>\n

    \n
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    <\/p>\n

    \u901a\u8fc7\u793e\u4ea4\u5a92\u4f53\u6570\u636e<\/strong><\/span><\/p>\n

    \u5206\u6790\u4e86\u89e3\u4e73\u623f\u690d\u5165\u7269\u75be\u75c5<\/strong><\/span><\/p>\n

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

    <\/span>
    <\/h2>\n

    \n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong>
    <\/span><\/section>\n<\/h2>\n

    Understanding Breast Implant Illness via Social Media Data Analysis<\/span><\/h2>\n

    \n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    https:\/\/arxiv.org\/abs\/2008.11238<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/section>\n
    Vishal Dey,Peter Krasniak,Minh Nguyen,Clara Lee,Xia Ning<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u80cc\u666f: \u5728\u8fc7\u53bb\u768420\u5e74\u91cc\uff0c\u9686\u80f8\u624b\u672f\u8d8a\u6765\u8d8a\u6d41\u884c\u3002\u4eba\u4eec\u8d8a\u6765\u8d8a\u5173\u6ce8\u9686\u80f8\u624b\u672f\u7684\u98ce\u9669\u3002\u4e0e\u6b64\u540c\u65f6\uff0c\u4e00\u79cd\u88ab\u79f0\u4e3a\u201c\u4e73\u623f\u5047\u4f53\u75be\u75c5\u201d(BII)\u7684\u5a92\u4f53\u73b0\u8c61\u5df2\u7ecf\u51fa\u73b0\u3002\u76ee\u7684: \u5229\u7528\u793e\u4f1a\u5a92\u4f53\u6570\u636e\u8bc6\u522b\u548c\u603b\u7ed3 BII \u7684\u5173\u952e\u5c5e\u6027\u3002\u6750\u6599\u548c\u65b9\u6cd5: \u6211\u4eec\u4f7f\u7528\u81ea\u7136\u8bed\u8a00\u5904\u7406(NLP)\u548c\u4e3b\u9898\u5efa\u6a21\u8fdb\u884c\u793e\u4f1a\u5a92\u4f53\u6570\u636e\u5206\u6790\uff0c\u4ee5\u66f4\u597d\u5730\u7406\u89e3\u4e0e BII \u76f8\u5173\u7684\u75c7\u72b6\u3001\u4f53\u5f81\u7b49\u3002\u6211\u4eec\u4f7f\u7528\u4e34\u5e8a\u6587\u672c\u5206\u6790\u548c\u77e5\u8bc6\u63d0\u53d6\u7cfb\u7edf(cdes)\u63d0\u53d6\u4e0e\u4f53\u5f81\/\u75c7\u72b6\u3001\u75be\u75c5\/\u969c\u788d\u548c\u533b\u7597\u7a0b\u5e8f\u76f8\u5173\u7684\u63d0\u53ca\u3002\u63d0\u53d6\u7684\u63d0\u53ca\u88ab\u6620\u5c04\u5230\u6807\u51c6\u7684\u533b\u5b66\u6982\u5ff5\u3002\u6211\u4eec\u4f7f\u7528\u9690\u542b\u72c4\u5229\u514b\u96f7\u5206\u5e03\u8bed\u8a00(LDA)\u5c06\u6620\u5c04\u7684\u6982\u5ff5\u5f52\u7eb3\u5230\u4e3b\u9898\u4e2d\u3002\u7ed3\u679c: \u6211\u4eec\u7684\u5206\u6790\u786e\u5b9a\u4e86\u4e0e\u4e73\u623f\u5047\u4f53\u75be\u75c5\u9ad8\u5ea6\u76f8\u5173\u7684\u6bd2\u6027\u3001\u764c\u75c7\u548c\u7cbe\u795e\u5065\u5eb7\u95ee\u9898\u3002\u6211\u4eec\u8fd8\u53d1\u73b0\u75bc\u75db\u548c\u5176\u4ed6\u75be\u75c5\u901a\u5e38\u4e0e\u4e73\u623f\u690d\u5165\u7269\u75be\u75c5\u6709\u5173\u3002\u8ba8\u8bba: \u6211\u4eec\u7684\u5206\u6790\u8868\u660e\uff0c\u4e73\u623f\u690d\u5165\u7269\u75be\u75c5\u53ef\u80fd\u5bfc\u81f4\u4e25\u91cd\u7684\u5065\u5eb7\u95ee\u9898\uff0c\u5982\u81ea\u8eab\u514d\u75ab\u6027\u75be\u75c5\uff0c\u764c\u75c7\uff0c\u75bc\u75db\uff0c\u75b2\u52b3\u3002\u6211\u4eec\u8fd8\u53d1\u73b0\u7845\u80f6\u690d\u5165\u7269\u7684\u6bd2\u6027\u548c\u5fc3\u7406\u5065\u5eb7\u95ee\u9898\u662f\u5f71\u54cd BII \u7684\u4e00\u4e9b\u6f5c\u5728\u56e0\u7d20\u3002\u672c\u7814\u7a76\u5bf9\u8fdb\u4e00\u6b65\u7814\u7a76 BII \u7684\u75c7\u72b6\u548c\u5f71\u54cd\u56e0\u7d20\u5177\u6709\u4e00\u5b9a\u7684\u6307\u5bfc\u610f\u4e49\u3002\u7ed3\u8bba: \u6211\u4eec\u901a\u8fc7\u5bf9\u793e\u4ea4\u5a92\u4f53\u6570\u636e\u7684\u5206\u6790\uff0c\u786e\u5b9a\u4e86\u8bf8\u5982\u7834\u88c2\u3001\u611f\u67d3\u3001\u75bc\u75db\u548c\u75b2\u52b3\u7b49\u88ab\u8ba4\u4e3a\u662f\u516c\u4f17\u4e2d\u5e38\u89c1\u7684\u81ea\u6211\u62a5\u544a\u95ee\u9898\u3002\u6211\u4eec\u7684\u5206\u6790\u8fd8\u663e\u793a\uff0c\u764c\u75c7\u3001\u81ea\u8eab\u514d\u75ab\u6027\u75be\u75c5\u548c\u5fc3\u7406\u5065\u5eb7\u95ee\u9898\u6b63\u5728\u5f15\u8d77\u4eba\u4eec\u7684\u5173\u6ce8\uff0c\u5c3d\u7ba1\u5bf9\u9686\u80f8\u624b\u672f\u7684\u7814\u7a76\u8fd8\u5f88\u5c11\u3002<\/span><\/section>\n<\/h2>\n


    <\/span><\/h2>\n
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    <\/p>\n

    \n
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    <\/p>\n

    \u8f6c\u6362\u6a21\u578b\u4e2d\u7684\u6d88\u5931\u9519\u8bef<\/strong><\/span><\/p>\n

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

    <\/span>
    <\/h2>\n

    \n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong>
    <\/span><\/section>\n<\/h2>\n

    Disappearing errors in a conversion model<\/span><\/h2>\n

    \n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    https:\/\/arxiv.org\/abs\/2008.11696<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    David P. Fan<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u540c\u6837\u7684\u57fa\u672c\u5fae\u5206\u65b9\u7a0b\u6a21\u578b\u4e5f\u9002\u7528\u4e8e\u4e0d\u540c\u5dde\u4e4b\u95f4\u4eba\u53e3\u6210\u5458\u968f\u65f6\u95f4\u53d8\u5316\u7684\u8f6c\u5316\u3002\u8fd9\u79cd\u8f6c\u6362\u6a21\u5f0f\u5df2\u7ecf\u88ab\u5e94\u7528\u4e8e\u4e0d\u540c\u7684\u73af\u5883\uff0c\u4f8b\u5982\u6d41\u884c\u75c5\u5b66\u4f20\u67d3\u75c5\uff0c\u521b\u65b0\u4ea7\u54c1\u6e17\u900f\u7406\u8bba\u7684\u5df4\u65af\u6a21\u5f0f\uff0c\u4ee5\u53ca\u516c\u4f17\u8206\u8bba\u7684\u610f\u8bc6\u5f62\u6001\u52a8\u6001\u6a21\u5f0f\u3002\u4f8b\u5982\uff0c\u6a21\u578b\u7684\u610f\u8bc6\u5f62\u6001\u7248\u672c\u9884\u6d4b\u4e86\u516c\u4f17\u8206\u8bba\u7684\u53d8\u5316\uff0c\u4ee5\u54cd\u5e94\u53ef\u4ee5\u8ffd\u6eaf\u5230\u4e0d\u786e\u5b9a\u8fc7\u53bb\u7684\u529d\u8bf4\u6027\u4fe1\u606f\u3002\u6240\u6709\u7684\u4fe1\u606f\u90fd\u662f\u7528\u8bef\u5dee\u6765\u5ea6\u91cf\u7684\uff0c\u672c\u7ae0\u8ba8\u8bba\u4e86\u4fe1\u606f\u5ea6\u91cf\u4e2d\u7684\u8bef\u5dee\u5982\u4f55\u968f\u7740\u65f6\u95f4\u7684\u63a8\u79fb\u800c\u6d88\u5931\uff0c\u4ece\u800c\u4f7f\u9884\u6d4b\u7684\u89c2\u70b9\u503c\u9010\u6e10\u4e0d\u53d7\u8fc7\u53bb\u5ea6\u91cf\u8bef\u5dee\u7684\u5f71\u54cd\u3002\u5229\u7528\u5f62\u5f0f\u7edf\u8ba1\u3001\u654f\u611f\u5ea6\u5206\u6790\u548c\u81ea\u4e3e\u65b9\u5dee\u8ba1\u7b97\u8ba8\u8bba\u4e86\u9884\u6d4b\u7684\u4e0d\u786e\u5b9a\u6027\u3002\u8fd9\u4e00\u7ae0\u5c55\u793a\u4e86\u5bf9\u4e30\u7530\u6c7d\u8f66\u5236\u9020\u5546\u7684\u610f\u8bc6\u5f62\u6001\u65f6\u95f4\u5e8f\u5217\u7684\u52a8\u6001\u9884\u6d4b\uff0c\u8fd9\u4e9b\u9884\u6d4b\u662f\u6839\u636e\u4e24\u5e74\u534a\u4ee5\u6765\u7684\u6bcf\u65e5 Twitter \u5f97\u5206\u8ba1\u7b97\u51fa\u6765\u7684\u3002\u5728\u6b64\u671f\u95f4\uff0c\u4e30\u7530\u7a81\u7136\u906d\u9047\u4e86\u4e00\u8fde\u4e32\u7684\u574f\u6d88\u606f\uff0c\u8be5\u6a21\u578b\u53ef\u4ee5\u51c6\u786e\u5730\u9884\u6d4b\u968f\u4e4b\u800c\u6765\u7684\u5bf9\u4e30\u7530\u7684\u597d\u8bc4\u548c\u4e0d\u5229\u8bc4\u4ef7\u7684\u4e0b\u964d\u3002<\/span><\/section>\n<\/h2>\n


    <\/span><\/h2>\n
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    <\/p>\n

    \u534f\u8c03\u5bb9\u91cf\u6269\u5f20\u95ee\u9898\u7684<\/strong><\/span><\/p>\n

    \u6f6e\u6d41\u548c\u8f93\u7535\u635f\u8017\u8fd1\u4f3c\u89e3<\/strong><\/span><\/span><\/p>\n

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

    <\/span>
    <\/h2>\n

    \n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong>
    <\/span><\/section>\n<\/h2>\n

    Approximating Power Flow and Transmission Losses in Coordinated Capacity Expansion Problems<\/span><\/h2>\n

    \n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    https:\/\/arxiv.org\/abs\/2008.11510<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Fabian Neumann,Veit Hagenmeyer,Tom Brown<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u968f\u7740\u53ef\u518d\u751f\u80fd\u6e90\u7684\u4efd\u989d\u4e0d\u65ad\u4e0a\u5347\uff0c\u4ee5\u53ca\u9700\u8981\u9002\u5f53\u8bc4\u4f30\u8f93\u7535\u3001\u50a8\u80fd\u548c\u90e8\u95e8\u4e00\u4f53\u5316\u4e4b\u95f4\u7684\u6743\u8861\u4f5c\u4e3a\u5e73\u8861\u9009\u9879\uff0c\u5728\u80fd\u6e90\u7cfb\u7edf\u6a21\u578b\u548c\u8be6\u7ec6\u7684\u7535\u529b\u6d41\u7814\u7a76\u4e4b\u95f4\u67b6\u8d77\u4e00\u5ea7\u6865\u6881\u53d8\u5f97\u8d8a\u6765\u8d8a\u91cd\u8981\uff0c\u4f46\u5728\u8ba1\u7b97\u65b9\u9762\u5177\u6709\u6311\u6218\u6027\u3002W \u6bd4\u8f83\u8fd1\u4f3c\u7684\u4e24\u4e2a\u975e\u7ebf\u6027\u73b0\u8c61\uff0c\u6f6e\u6d41\u548c\u4f20\u8f93\u635f\u5931\uff0c\u5728\u7ebf\u6027\u5bb9\u91cf\u6269\u5c55\u95ee\u9898\uff0c\u5171\u540c\u4f18\u5316\u6295\u8d44\u5728\u53d1\u7535\uff0c\u5b58\u50a8\u548c\u4f20\u8f93\u57fa\u7840\u8bbe\u65bd\u3002\u6211\u4eec\u8bc4\u4f30\u4e0d\u540c\u7684\u6d41\u91cf\u8868\u793a\uff0c\u8ba8\u8bba\u5728\u6295\u8d44\u51b3\u7b56\u7684\u5dee\u5f02\uff0c\u8282\u70b9\u4ef7\u683c\uff0c\u504f\u5dee\u7684\u4f18\u5316\u6d41\u91cf\u548c\u635f\u5931\u6a21\u62df\u4ea4\u6d41\u7535\u529b\u6d41\uff0c\u4ee5\u53ca\u8ba1\u7b97\u6027\u80fd\u3002\u901a\u8fc7\u4f7f\u7528\u5f00\u653e\u7684\u6b27\u6d32\u7535\u529b\u7cfb\u7edf\u6a21\u578b PyPSA-Eur\uff0c\u6211\u4eec\u5f97\u5230\u4e86\u8be6\u7ec6\u7684\u548c\u53ef\u91cd\u590d\u7684\u7ed3\u679c\uff0c\u65e8\u5728\u4fc3\u8fdb\u9009\u62e9\u4e00\u4e2a\u5408\u9002\u7684\u6f6e\u6d41\u6a21\u578b\u3002\u8003\u8651\u5230\u590d\u6742\u5ea6\u7684\u5dee\u5f02\uff0c\u6700\u4f18\u9009\u62e9\u53d6\u51b3\u4e8e\u5e94\u7528\u7a0b\u5e8f\u3001\u7528\u6237\u53ef\u7528\u7684\u8ba1\u7b97\u8d44\u6e90\u4ee5\u53ca\u8003\u8651\u7684\u7a7a\u95f4\u7ec6\u8282\u7ea7\u522b\u3002\u867d\u7136\u901a\u5e38\u4f7f\u7528\u7684\u8fd0\u8f93\u6a21\u578b\u5728\u8fdb\u884c\u8ba1\u7b97\u65f6\u5df2\u7ecf\u80fd\u591f\u786e\u5b9a\u4e00\u4e2a\u5177\u6709\u6210\u672c\u6548\u76ca\u7684\u7cfb\u7edf\u7684\u5173\u952e\u7279\u5f81\uff0c\u4f46\u5728\u9ad8\u8d1f\u8377\u6761\u4ef6\u4e0b\uff0c\u7531\u4e8e\u7f3a\u4e4f\u7269\u7406\u7f51\u683c\u8868\u793a\uff0c\u4ecd\u7136\u5b58\u5728\u7f3a\u9677\u3002\u6b64\u5916\uff0c\u4e0d\u8003\u8651\u8f93\u7535\u635f\u5931\uff0c\u6700\u4f18\u7535\u7f51\u6269\u5f20\u9ad8\u4f30\u4e8620% \u3002\u5728\u7ebf\u6027\u5316\u6f6e\u6d41\u65b9\u7a0b\u4e2d\u589e\u52a0\u4e24\u4e2a\u6216\u4e09\u4e2a\u5207\u7ebf\u7684\u4e8c\u6b21\u635f\u8017\u51f8\u677e\u5f1b\uff0c\u5e76\u8003\u8651\u7f51\u7edc\u52a0\u5f3a\u65f6\u7ebf\u963b\u6297\u7684\u53d8\u5316\uff0c\u8db3\u4ee5\u5728\u8bbe\u8ba1\u7814\u7a76\u4e2d\u5145\u5206\u8868\u793a\u6f6e\u6d41\u548c\u635f\u8017\u3002\u6211\u4eec\u8bc1\u660e\uff0c\u6240\u83b7\u5f97\u7684\u6295\u8d44\u548c\u8c03\u5ea6\u51b3\u7b56\u8db3\u591f\u7269\u7406\uff0c\u7528\u4e8e\u66f4\u8be6\u7ec6\u7684\u4ea4\u6d41\u6f6e\u6d41\u975e\u7ebf\u6027\u6a21\u62df\uff0c\u4ee5\u4fbf\u66f4\u597d\u5730\u8bc4\u4f30\u5176\u6280\u672f\u53ef\u884c\u6027\u3002<\/span><\/section>\n<\/h2>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u57ce\u5e02\u89c4\u6a21\u5206\u5e03\u7684\u5206\u6790\u6709\u4ec0\u4e48\u5171\u540c\u70b9\uff1f<\/strong><\/span><\/p>\n

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

    <\/span>
    <\/h2>\n

    \n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong>
    <\/span><\/section>\n<\/h2>\n

    MetaMetaZipf. What do analyses of city size distributions have in common?<\/span><\/h2>\n

    \n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    https:\/\/arxiv.org\/abs\/2008.11473<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Cl\u00e9mentine Cottineau<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u5728\u672c\u6587\u4e2d\uff0c\u6211\u5bf9\u5173\u4e8e\u57ce\u5e02 Zipf \u5b9a\u5f8b\u7684\u5b9e\u8bc1\u6587\u732e\u8fdb\u884c\u4e86\u6587\u672c\u548c\u8bed\u5883\u5206\u6790\u3002\u5728\u4ee5\u524d\u516c\u5f00\u7684\u5143\u5206\u6790\u6750\u6599\u7684\u57fa\u7840\u4e0a\uff0c\u6211\u6536\u96c6\u4e8666\u7bc7\u4ee5\u82f1\u8bed\u53d1\u8868\u7684\u79d1\u5b66\u6587\u7ae0\u7684\u5168\u6587\u548c\u53c2\u8003\u4e66\u76ee\uff0c\u5e76\u6784\u5efa\u4e86\u4ed6\u4eec\u4f7f\u7528\u7684\u672f\u8bed\u4ee5\u53ca\u5f15\u7528\u7684\u53c2\u8003\u6587\u732e\u548c\u5b66\u79d1\u7684\u76f8\u4f3c\u7f51\u7edc\u3002\u6211\u7528\u8fd9\u4e9b\u7f51\u7edc\u4f5c\u4e3a\u89e3\u91ca\u53d8\u91cf\uff0c\u572866\u7bc7\u6587\u7ae0\u4e2d\u62a5\u9053\u4e86 Zipf \u4f30\u8ba1\u5206\u5e03\u7684\u76f8\u4f3c\u6027\u7f51\u7edc\u6a21\u578b\u3002\u6211\u53d1\u73b0\uff0c\u4f5c\u8005\u7ecf\u5e38\u4f7f\u7528\u7684\u8bcd\u8bed\u7684\u63a5\u8fd1\u7a0b\u5ea6\u4e0e\u4ed6\u4eec\u62a5\u544a Zipf \u4f30\u8ba1\u503c\u7684\u76f8\u4f3c\u503c\u548c\u5206\u6563\u7a0b\u5ea6\u7684\u503e\u5411\u6b63\u76f8\u5173\u3002\u6587\u7ae0\u7684\u53c2\u8003\u6846\u67b6\u4e5f\u8d77\u5230\u4e86\u4e00\u5b9a\u4f5c\u7528\uff0c\u56e0\u4e3a\u5f15\u7528\u7c7b\u4f3c\u53c2\u8003\u7684\u6587\u7ae0\u503e\u5411\u4e8e\u62a5\u544a\u7c7b\u4f3c\u7684 Zipf \u4f30\u8ba1\u7684\u5e73\u5747\u503c\u3002\u4f5c\u4e3a\u5bf9\u4ee5\u524d\u7684\u5143\u5206\u6790\u7684\u8865\u5145\uff0c\u76ee\u524d\u7684\u65b9\u6cd5\u9610\u660e\u4e86\u79d1\u5b66\u6587\u672c\u548c\u80cc\u666f\u52a8\u5458\u62a5\u544a\u57ce\u5e02\u89c4\u6a21\u5206\u5e03\u3002\u5b83\u5141\u8bb8\u8bc6\u522b\u8bed\u6599\u5e93\u4e2d\u7684\u7a7a\u767d\u548c\u53ef\u80fd\u88ab\u5ffd\u7565\u7684\u6587\u7ae0\u3002<\/span><\/section>\n<\/h2>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u7528\u5c5e\u6027\u7f51\u7edc<\/strong><\/span><\/p>\n

    \u91cf\u5316\u793e\u4f1a\u7f51\u7edc\u4e89\u8bba\u7684\u4e00\u4e2a\u6846\u67b6: <\/strong><\/span><\/p>\n

    \u6709\u504f\u5dee\u7684\u968f\u673a\u6e38\u8d70(BRW)<\/strong><\/span><\/p>\n

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

    <\/span>
    <\/h2>\n

    \n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong>
    <\/span><\/section>\n<\/h2>\n

    A Framework for Quantifying Controversy of Social Network Debates Using Attributed Networks: Biased Random Walk (BRW)<\/span><\/h2>\n

    \n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    https:\/\/arxiv.org\/abs\/2008.11473<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    Hanif Emamgholizadeh,Milad Noorizadeh,Saman Tajbakhsh,Mahdieh Hashminezhad,Farzaneh Nasr Esfahani<\/span><\/section>\n

    <\/section>\n
    \u6458\u8981\uff1a<\/span><\/strong>\u5728\u8fc7\u53bb\u7684\u51e0\u5e74\u91cc\uff0c\u6240\u6709\u7684\u793e\u4f1a\uff0c\u90fd\u53d8\u5f97\u66f4\u52a0\u4e24\u6781\u5316\uff0c\u7279\u522b\u662f\u5728\u7f51\u7edc\u793e\u4ea4\u7f51\u7edc\u548c\u5a92\u4f53\u51fa\u73b0\u4e4b\u540e\u3002\u4e8b\u5b9e\u4e0a\uff0c\u968f\u7740\u65b0\u5a92\u4f53\u7684\u666e\u53ca\uff0c\u793e\u4f1a\u9636\u5c42\u4e24\u7aef\u4e4b\u95f4\u7684\u5dee\u8ddd\u5c06\u8fdb\u4e00\u6b65\u6269\u5927\u3002\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u683c\u5dee\u793e\u4f1a\u5df2\u7ecf\u6210\u4e3a\u793e\u4f1a\u4e3b\u4e49\u8005\u548c\u8ba1\u7b97\u673a\u79d1\u5b66\u4e13\u5bb6\u65e5\u76ca\u5173\u6ce8\u7684\u95ee\u9898\uff0c\u56e0\u4e3a\u5728\u7ebf\u793e\u4ea4\u7f51\u7edc\u53ef\u4ee5\u901a\u8fc7\u7ed9\u6781\u7aef\u4e3b\u4e49\u706b\u4e0a\u6d47\u6cb9\u800c\u5bf9\u793e\u4f1a\u4ea7\u751f\u4e0d\u5229\u5f71\u54cd\u3002\u4e3a\u4e86\u8ba1\u7b97\u793e\u4ea4\u7f51\u7edc\u4e2d\u7684\u4e89\u8bae\u7a0b\u5ea6\uff0c\u4ee5\u51cf\u5c11\u76f8\u4e92\u77db\u76fe\u7684\u89c2\u70b9\u4e4b\u95f4\u7684\u4e89\u8bae\uff0c\u4eba\u4eec\u8fdb\u884c\u4e86\u51e0\u79cd\u7c7b\u578b\u7684\u7814\u7a76\uff0c\u4f8b\u5982\uff0c\u5c06\u4e00\u65b9\u7684\u89c2\u70b9\u66b4\u9732\u7ed9\u53e6\u4e00\u65b9\u7684\u6210\u5458\u3002\u5927\u591a\u6570\u91cf\u5316\u793e\u4ea4\u7f51\u7edc\u4e89\u8bae\u7684\u5c1d\u8bd5\u90fd\u628a\u793e\u4ea4\u7f51\u7edc\u770b\u4f5c\u662f\u6700\u57fa\u672c\u7684\u5f62\u5f0f\uff0c\u6ca1\u6709\u4efb\u4f55\u5c5e\u6027\u3002\u867d\u7136\u8fd9\u4e9b\u7814\u7a76\u4e3a\u4e0d\u540c\u7684\u793e\u4f1a\u7f51\u7edc\u63d0\u4f9b\u4e86\u65e0\u5e73\u53f0\u7684\u7b97\u6cd5\uff0c\u4f46\u662f\u5b83\u4eec\u6ca1\u6709\u8003\u8651\u5230\u7528\u6237\u63d0\u4f9b\u7684\u5927\u91cf\u6709\u7528\u4fe1\u606f(\u8282\u70b9\u5c5e\u6027)\u3002\u4e3a\u4e86\u514b\u670d\u8fd9\u4e00\u7f3a\u70b9\uff0c\u6211\u4eec\u63d0\u51fa\u4e86\u4e00\u4e2a\u5728\u4e0d\u540c\u5c5e\u6027\u7684\u7f51\u7edc\u4e2d\u4f7f\u7528\u7684\u6846\u67b6\u3002\u6211\u4eec\u63a8\u5bfc\u4e86\u4e00\u4e9b\u504f\u5411\u968f\u673a\u6e38\u52a8(BRW) \uff0c\u4ee5\u6c42\u51fa\u5b83\u4eec\u4ece\u8d77\u59cb\u70b9\u5230\u521d\u59cb\u672a\u77e5\u7ec8\u70b9\u7684\u8def\u5f84\uff0c\u5b83\u4eec\u5173\u4e8e\u8d77\u59cb\u8282\u70b9\u7684\u521d\u59cb\u80fd\u91cf\u548c\u8def\u5f84\u4e0a\u8282\u70b9\u7684\u80fd\u91cf\u635f\u5931\u3002\u5229\u7528\u8282\u70b92vec \u63d0\u53d6\u7f51\u7edc\u7684\u7ed3\u6784\u5c5e\u6027\uff0c\u5e76\u4e0e\u73b0\u6709\u7b97\u6cd5\u8fdb\u884c\u6bd4\u8f83\uff0c\u9a8c\u8bc1\u4e86\u7b97\u6cd5\u7684\u6b63\u786e\u6027\u3002\u7136\u540e\uff0c\u63d0\u53d6\u7528\u6237\u7684\u4e00\u4e9b\u5185\u5bb9\u5c5e\u6027\uff0c\u5e76\u5206\u6790\u5b83\u4eec\u5bf9\u7b97\u6cd5\u7ed3\u679c\u7684\u5f71\u54cd\u3002BRW \u4e0e\u53e6\u4e00\u79cd\u6700\u5148\u8fdb\u7684\u6709\u4e89\u8bae\u7684\u6d4b\u91cf\u7b97\u6cd5\u76f8\u6bd4\u8f83\u3002\u7136\u540e\uff0c\u5728\u6ce2\u65af\u8bed\u4e2d\uff0c\u5b83\u5728\u4e0d\u540c\u7a0b\u5ea6\u7684\u4e89\u8bae\u4e2d\u7684\u53d8\u5316\u88ab\u8ba4\u4e3a\u662f\u5b83\u5728\u4e0d\u540c\u60c5\u51b5\u4e0b\u5982\u4f55\u5de5\u4f5c\u7684\u5c55\u793a\u3002<\/span><\/section>\n<\/h2>\n


    <\/span><\/h2>\n
    \n
    \n
    \n


    <\/p>\n

    \n
    \n
    <\/p>\n

    \u4ece Twitter \u884d\u751f\u51fa\u6765\u7684<\/strong><\/span><\/p>\n

    \u957f\u671f\u8bcd\u9891\u52a8\u529b\u5b66\u5df2\u7ecf\u88ab\u7834\u574f: <\/strong><\/span><\/p>\n

    \u4e00\u79cd\u5b9a\u5236\u7684\u65b9\u6cd5\u6765<\/strong><\/span><\/p>\n

    \u68c0\u6d4b\u548c\u6d88\u9664\u65f6\u95f4\u5e8f\u5217\u96c6\u5408\u4e2d\u7684\u75c5\u7406<\/strong><\/span><\/p>\n

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

    <\/span>
    <\/h2>\n

    \n
    \u539f\u6587\u6807\u9898\uff1a<\/span><\/strong>
    <\/span><\/section>\n<\/h2>\n

    Long-term word frequency dynamics derived from Twitter are corrupted: A bespoke approach to detecting and removing pathologies in ensembles of time series<\/span><\/h2>\n

    \n
    \u5730\u5740\uff1a<\/span><\/strong><\/span><\/section>\n
    https:\/\/arxiv.org\/abs\/2008.11473<\/span><\/section>\n
    \u4f5c\u8005\uff1a<\/span><\/strong><\/span><\/section>\n
    P. S. Dodds,J. R. Minot,M. V. Arnold,T. Alshaabi,J. L. Adams,D. R. Dewhurst,A. J. Reagan,C. M. Danforth<\/span><\/section>\n

    <\/section>\n
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    \u5546\u52a1\u5408\u4f5c\u53ca\u6295\u7a3f\u8f6c\u8f7d\uff5cswarma@swarma.org
    <\/span><\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h2>\n

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

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    \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>\n


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