{"id":52222,"date":"2024-08-24T22:32:11","date_gmt":"2024-08-24T14:32:11","guid":{"rendered":"https:\/\/swarma.org\/?p=52222"},"modified":"2024-08-24T22:32:11","modified_gmt":"2024-08-24T14:32:11","slug":"%e9%a6%96%e5%b1%8a%e7%a4%be%e4%bc%9a%e6%99%ba%e8%83%bd%e5%a4%a7%e4%bc%9a%e8%ae%b2%e4%b9%a0%e7%8f%ad%e8%ae%b2%e5%b8%88%e9%98%b5%e5%ae%b9%e5%85%ac%e5%bc%80%ef%bc%8c%e5%be%81%e7%a8%bf%e8%bf%9b%e8%a1%8c","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=52222","title":{"rendered":"\u9996\u5c4a\u793e\u4f1a\u667a\u80fd\u5927\u4f1a\u8bb2\u4e60\u73ed\u8bb2\u5e08\u9635\u5bb9\u516c\u5f00\uff0c\u5f81\u7a3f\u8fdb\u884c\u4e2d\uff01"},"content":{"rendered":"
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\u8bb2\u4e60<\/strong>\u9898\u76ee\uff1a<\/strong><\/section>\n
\u590d\u6742\u7f51\u7edc\u9c81\u68d2\u6027\u4e0e\u97e7\u6027<\/strong><\/section>\n

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\u8bb2\u4e60\u73ed\u8bb2\u5e08<\/strong>\uff1a<\/strong>Naoki Masuda<\/strong>
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Naoki Masuda has been full Professor at the Department of Mathematics and Institute for Artificial Intelligence and Data Science, State University of New York at Buffalo, since 2021. His research interests include network science and mathematical biology. He particularly focuses on temporal networks, analysis of biological and medical network data, models of contagion processes, and random walks on networks. He received a PhD in Mathematical Engineering in 2002 from the University of Tokyo, Japan. He worked as Lecturer and then Associate Professor at the University of Tokyo between 2006 and 2014. He worked as Senior Lecturer and then Associate Professor at the University of Bristol, UK, between 2014 and 2019. He moved to State University of New York at Buffalo in 2019 as Associate Professor in 2019 and became full Professor in 2021. His current h-index is 55 and his work has received over 9950 citations (sourced from google scholar statistics).<\/section>\n

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\u8bb2\u4e60<\/strong>\u9898\u76ee\uff1a<\/strong><\/section>\n
Network science, temporal networks, and interaction among manga characters<\/strong><\/section>\n

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\u5173\u952e\u8bcd\uff1anetwork science, temporal network, character network, bipartite graph, hub<\/strong><\/strong><\/section>\n

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3.\u540d\u5e08\u5b9e\u6218\u201c\u6a21\u5757\u5e94\u7528\u5b9e\u6218\u201d\u6a21\u5757<\/strong><\/span><\/section>\n<\/section>\n
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\u8bb2\u4e60<\/strong>\u9898\u76ee\uff1a<\/strong><\/section>\n
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4.\u201c\u5b66\u672f\u6d77\u62a5\u5c55+\u4f18\u79c0\u6d77\u62a5\u8bc4\u9009\u201d\u6a21\u5757<\/span><\/strong><\/span><\/section>\n<\/section>\n
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\u63d0\u4ea4\u65f6\u95f4\uff1a8\u670810\u65e5–8\u670830\u65e5<\/strong><\/span><\/section>\n
\u63d0\u4ea4\u65b9\u5f0f\uff1a\u90ae\u4ef6\u63d0\u4ea4<\/span><\/section>\n
\u90ae\u4ef6\u4e3b\u9898\u987b\u5305\u542b\uff1a\u59d3\u540d+\u8054\u7cfb\u65b9\u5f0f+\u804c\u79f0\/\u5b66\u751f+\u5355\u4f4d<\/span><\/section>\n
\u90ae\u4ef6\u9644\u4ef6\u5185\u5bb9\u987b\u5305\u542b\uff1a\u8bba\u6587\u77ed\u6458\u8981\uff08Word\uff09+\u6d77\u62a5\uff08PPT\uff09<\/span><\/section>\n
\u90ae\u4ef6\u63d0\u4ea4\u5730\u5740\uff1ahuazelin@idata.ah.cn  \u534e\u8001\u5e08<\/span><\/section>\n<\/section>\n
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\u4e09 \u4f1a\u8bae\u6ce8\u518c\u548c\u8d39\u7528 \u2726<\/strong><\/p>\n<\/section>\n

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

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\u6ce8\uff1a\u8bb2\u4e60\u73ed\u63d0\u4f9b11\u65e5\u5348\u9910\u548c\u665a\u9910+12\u65e5\u5348\u9910\uff0c\u5927\u4f1a\u63d0\u4f9b13\u65e5\u5348\u9910\u548c\u665a\u5bb4\uff0c\u5dee\u65c5\u548c\u4f4f\u5bbf\u8d39\u7528\u81ea\u7406\u3002<\/span>\u5927\u4f1a\u4e0d\u8bbe\u73b0\u573a\u652f\u4ed8\u8bbe\u5907\uff0c\u4e34\u65f6\u5230\u573a\u4e5f\u9700\u7ebf\u4e0a\u652f\u4ed8\u6ce8\u518c\u3002<\/span><\/section>\n

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\u4f1a\u8bae\u6ce8\u518c\u94fe\u63a5&\u4e8c\u7ef4\u7801\uff1a<\/span><\/strong><\/section>\n
https:\/\/www.cacpaper.com\/register\/106\/user\/preRegist<\/span><\/section>\n
\u63d0\u793a\uff1a\u6ce8\u518c\u4e2d\u56fd\u81ea\u52a8\u5316\u4f1a\u5458\u540e\u518d\u6ce8\u518c\u5927\u4f1a\u66f4\u4f18\u60e0\uff0c\u975e\u5b66\u4f1a\u4f1a\u5458\u65e0\u6cd5\u4eab\u53d7\u4f1a\u5458\u6298\u6263<\/span><\/section>\n

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\u53ef\u957f\u6309\u8bc6\u522b\u4e8c\u7ef4\u7801\u6ce8\u518c\u4f1a\u8bae<\/span><\/strong><\/span><\/section>\n<\/section>\n
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\u6ce8\u518c\u4e2d\u56fd\u81ea\u52a8\u5316\u5b66\u4f1a\u4f1a\u5458<\/span><\/strong>\u8bf7\u626b\u63cf\u4e0b\u65b9\u4e8c\u7ef4\u7801<\/span><\/section>\n
\u586b\u5199\u8d44\u6599\uff0c\u52a1\u5fc5\u9009\u62e9\u53c2\u52a0\u8ba1\u7b97\u793e\u4f1a\u4e0e\u793e\u4f1a\u667a\u80fd\u4e13\u59d4\u4f1a\uff01\u5e76\u7f34\u7eb3\u81f3\u5c11\u4e00\u5e74\u4f1a\u8d39<\/span>
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\u56db \u5927\u4f1a\u534f\u8bae\u9152\u5e97 \u2726<\/strong><\/p>\n<\/section>\n

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

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\u53cc\u5e8a\u623f  420\u5143\/\u665a \u5355\u65e9 468\u5143\/\u665a \u53cc\u65e9\uff1b<\/section>\n
\uff08\u5e02\u573a\u53c2\u8003\u4ef7\uff1a600-700\u5143\/\u665a\uff09<\/span><\/section>\n
\u5927\u5e8a\u623f  458\u5143\/\u665a \u5355\u65e9 506\u5143\/\u665a \u53cc\u65e9\uff1b<\/section>\n
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\u9884\u5b9a\u7535\u8bdd\uff1a0411-62628888<\/section>\n

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13\u516c\u91cc \u6253\u8f66\u7ea635\u5206\u949f \u7ea630\u5143<\/section>\n
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13\u516c\u91cc \u6253\u8f66\u7ea635\u5206\u949f \u7ea630\u5143<\/section>\n

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\u706b\u8f66\u51fa\u884c  \u5927\u8fde\u7ad9<\/strong><\/section>\n
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12\u516c\u91cc \u6253\u8f6635\u5206\u949f \u7ea630\u5143<\/section>\n
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8\u516c\u91cc \u6253\u8f6625\u5206\u949f \u7ea625\u5143<\/section>\n

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8\u516c\u91cc \u6253\u8f66\u7ea620\u5206\u949f \u7ea620\u5143<\/section>\n<\/section>\n
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9\u670811\u65e5\u81f313\u65e5\uff0c\u671f\u5f85\u4e0e\u60a8\u5728\u5927\u8fde\u7684\u78a7\u6d77\u84dd\u5929\u4e4b\u4e0b\uff0c\u4e66\u5199\u4e00\u6bb5\u96be\u5fd8\u7684\u5b66\u672f\u65c5\u7a0b\uff01<\/section>\n

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\u968f\u7740\u5bf9\u73b0\u5b9e\u4e16\u754c\u63a2\u7d22\u7684\u4e0d\u65ad\u6df1\u5165\uff0c\u4eba\u4eec\u53d1\u73b0\u5728\u8bb8\u591a\u771f\u5b9e\u7684\u590d\u6742\u7cfb\u7edf\u4e2d\uff0c\u7ec4\u6210\u7cfb\u7edf\u7684\u4e2a\u4f53\u4e4b\u95f4\u4e0d\u4ec5\u5b58\u5728\u4e8c\u5143\u4ea4\u4e92\u5173\u7cfb\uff0c\u4e5f\u5e7f\u6cdb\u5b58\u5728\u591a\u4e2a\u4f53\u540c\u65f6\uff08\u6216\u4ee5\u7279\u5b9a\u987a\u5e8f\uff09\u8fdb\u884c\u4ea4\u4e92\uff0c\u5373\u9ad8\u9636\u4ea4\u4e92\u73b0\u8c61\u3002\u4e3a\u6b64\uff0c\u7814\u7a76\u4eba\u5458\u5206\u522b\u53d1\u5c55\u51fa\u4e86\u57fa\u4e8e\u8d85\u56fe\u3001\u5355\u7eaf\u590d\u5f62\u3001\u4f9d\u8d56\u5173\u7cfb\u7b49\u7684\u7f51\u7edc\u9ad8\u9636\u8868\u793a\u6a21\u578b\uff0c\u4e3a\u590d\u6742\u7f51\u7edc\u5206\u6790\u548c\u7814\u7a76\u63d0\u4f9b\u4e86\u65b0\u7684\u601d\u8def\u3002<\/span><\/section>\n

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\u7531\u7535\u5b50\u79d1\u6280\u5927\u5b66\u5415\u7433\u5a9b\u8001\u5e08\u3001\u4efb\u6653\u9f99\u8001\u5e08\u53ca\u4e2d\u56fd\u5730\u8d28\u5927\u5b66\uff08\u5317\u4eac\uff09\u7ba1\u9752\u8001\u5e08\u5728\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u53d1\u8d77\u4e86\u3010\u9ad8\u9636\u7f51\u7edc\u8bfb\u4e66\u4f1a<\/a><\/span>\u3011\u3002\u8bfb\u4e66\u4f1a\u56f4\u7ed5\u9ad8\u9636\u4ea4\u4e92\u7f51\u7edc\u7684\u57fa\u672c\u6982\u5ff5\u3001\u6a21\u578b\u3001\u65b9\u6cd5\u4e0e\u5e94\u7528\u7b49\u7814\u7a76\u8fdb\u884c\u7814\u8ba8\uff0c\u6309\u7167\u300c\u57fa\u7840\u7406\u8bba\u300d+\u300c\u6df1\u5165\u7406\u8bba\u300d+\u300c\u6848\u4f8b\u7814\u8ba8\u300d\u7684\u6a21\u5f0f\u5c55\u5f00\u3002\u8bfb\u4e66\u4f1a\u7b2c\u4e00\u5b63\u5df2\u7ecf\u5706\u6ee1\u7ed3\u675f\uff0c\u7b2c\u4e8c\u5b63\u6b63\u5728\u7b79\u5907\u4e2d\u3002\u73b0\u5728\u62a5\u540d\u52a0\u5165\u53ef\u4ee5\u89e3\u9501\u7b2c\u4e00\u5b63\u5168\u90e8\u5f55\u64ad\u89c6\u9891\u5e76\u52a0\u5165\u793e\u7fa4\u4ea4\u6d41\u3002<\/span><\/section>\n


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