{"id":64700,"date":"2025-09-23T16:44:01","date_gmt":"2025-09-23T08:44:01","guid":{"rendered":"https:\/\/swarma.org\/?p=64700"},"modified":"2025-09-23T16:44:01","modified_gmt":"2025-09-23T08:44:01","slug":"%e7%a4%be%e4%ba%a4%e7%bd%91%e7%bb%9c%e4%b8%ad%e4%bc%a0%e6%92%ad%e5%bd%b1%e5%93%8d%e5%8a%9b%e6%9c%80%e5%a4%a7%e5%8c%96%e9%97%ae%e9%a2%98%e7%a0%94%e7%a9%b6-%e5%91%a8%e5%85%ad%e7%9b%b4%e6%92%ad%c2%b7ai","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=64700","title":{"rendered":"\u793e\u4ea4\u7f51\u7edc\u4e2d\u4f20\u64ad\u5f71\u54cd\u529b\u6700\u5927\u5316\u95ee\u9898\u7814\u7a76 | \u5468\u516d\u76f4\u64ad\u00b7AI\u00d7\u4f20\u64ad\u8bfb\u4e66\u4f1a"},"content":{"rendered":"
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    \u6df1\u5ea6\u5b66\u4e60\u548c\u5f3a\u5316\u5b66\u4e60\u5728\u4f20\u64ad\u5173\u952e\u8282\u70b9\u95ee\u9898\u7684\u5e94\u7528\u6269\u5c55<\/span><\/span><\/p>\n<\/li>\n<\/ol>\n


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      \n
    1. \n

      Maximizing the Spread of Influence through a Social Network (2003)<\/span><\/span><\/strong>  Kempe, D., Kleinberg, J., & Tardos, \u00c9. (2003). Maximizing the Spread of Influence through a Social Network. SIGKDD \u201903, Washington, DC, USA.   https:\/\/doi.org\/10.1145\/956750.956769 \u8be5\u7814\u7a76\u5c06\u5f71\u54cd\u529b\u6700\u5927\u5316\u95ee\u9898\u5b9a\u4e49\u4e3a\u79bb\u6563\u4f18\u5316\u95ee\u9898\uff0c\u5e76\u8bc1\u660e\u4e3aNP-hard\u95ee\u9898\uff0c\u5229\u7528\u5f71\u54cd\u529b\u51fd\u6570\u7684\u6b21\u6a21\u6027\uff0c\u8bc1\u660e\u4e86\u4e00\u4e2a\u7b80\u5355\u7684\u8d2a\u5fc3\u7b97\u6cd5\u80fd\u4ee5(1-1\/e)\u7684\u8fd1\u4f3c\u7387\u63a5\u8fd1\u6700\u4f18\u89e3\uff0c\u4e3a\u5f71\u54cd\u529b\u6700\u5927\u5316\u95ee\u9898\u7684\u7814\u7a76\u63d0\u4f9b\u4e86\u9996\u4e2a\u9ad8\u6548\u4e14\u6709\u7406\u8bba\u4fdd\u8bc1\u7684\u8ba1\u7b97\u6846\u67b6\u3002<\/span><\/span><\/span><\/p>\n<\/li>\n

    2. \n

      Scalable Influence Maximization for Prevalent Viral Marketing in Large-Scale Social Networks (2010)<\/span><\/span><\/strong>Chen, W., Wang, C., & Wang, Y. (2010). Scalable Influence Maximization for Prevalent Viral Marketing in Large-Scale Social Networks. SIGKDD \u201910, Washington, DC, USA.   https:\/\/doi.org\/10.1145\/1835804.1835934 \u8be5\u7814\u7a76\u63d0\u51faMIA\/PMIA\u542f\u53d1\u5f0f\u7b97\u6cd5\uff0c\u901a\u8fc7\u6784\u5efa\u5c40\u90e8\u5f71\u54cd\u6811\u5c06\u8be5\u95ee\u9898\u8ba1\u7b97\u590d\u6742\u5ea6\u964d\u4f4e\u6570\u4e2a\u6570\u91cf\u7ea7\uff0c\u89e3\u51b3\u4e86\u5927\u89c4\u6a21\u7f51\u7edc\u4e2d\u7684\u53ef\u6269\u5c55\u6027\u96be\u9898\uff0c\u540c\u65f6\u5b9e\u73b0\u4e86\u6027\u80fd\u7684\u5927\u5e45\u63d0\u5347\u3002<\/span><\/span><\/span><\/p>\n<\/li>\n

    3. \n

      Popularity Ratio Maximization: Surpassing Competitors through Influence Propagation (2023) <\/span><\/span><\/strong>Liao, H., Bi, S., et al. (2023). Popularity Ratio Maximization: Surpassing Competitors through Influence Propagation. SIGMOD ’23, Seattle, WA, USA. https:\/\/doi.org\/10.1145\/3589309  \u8be5\u7814\u7a76\u63d0\u51fa\u4e86PA-IC\u6a21\u578b\uff0c\u6574\u5408\u504f\u597d\u8fde\u63a5\uff08PA\uff09\u6a21\u578b\u4e0e\u72ec\u7acb\u7ea7\u8054\uff08IC\uff09\u6a21\u578b\uff0c\u5e76\u9488\u5bf9\u6d41\u884c\u5ea6\u6bd4\u7387\u6700\u5927\u5316\uff08PRM\uff09\u95ee\u9898\uff0c\u4e3a\u65b0\u624b\u9879\u76ee\u5728\u52a8\u6001\u7ade\u4e89\u73af\u5883\u4e2d\u5236\u5b9a\u6700\u4f18\u7684\u591a\u8f6e\u6b21\u63a8\u5e7f\u7b56\u7565\uff0c\u63d0\u4f9b\u4e86\u9996\u4e2a\u517c\u5177\u7406\u8bba\u5206\u6790\u548c\u9ad8\u6548\u8ba1\u7b97\u7684\u6846\u67b6\u3002<\/span><\/span><\/span><\/p>\n<\/li>\n<\/ol>\n


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

      \u4e8c\u3001\u590d\u6742\u7f51\u7edc\u5206\u6790\u4e0e\u4f18\u5316\uff5c\u9762\u5411\u56e2\u8d2d\u5ba2\u6237\u7684\u4f20\u64ad\u5f71\u54cd\u529b\u6700\u5927\u5316\u95ee\u9898\u53d8\u578b\u7814\u7a76<\/span><\/span><\/strong><\/p>\n

        \n
      1. \n

        Motif-oriented influence maximization for viral marketing in large-scale social networks (2024)<\/span><\/span><\/strong>Zhou, M., Cao, W., Liao, H., & Mao, R. (2024). Motif-oriented influence maximization for viral marketing in large-scale social networks. 38th Conference on Neural Information Processing Systems (NeurIPS 2024).  \u8be5\u7814\u7a76\u5c06\u5f71\u54cd\u529b\u6700\u5927\u5316\u95ee\u9898\u4ece\u4f20\u7edf\u4e2a\u4f53\u7528\u6237\u76ee\u6807\uff0c\u521b\u65b0\u6027\u5730\u6269\u5c55\u5230\u9762\u5411\u56e2\u4f53\u7528\u6237\u7684\u573a\u666f\u3002\u7531\u4e8e\u5f71\u54cd\u529b\u51fd\u6570\u4e0d\u5177\u5907\u6b21\u6a21\u6027\uff0c\u8bba\u6587\u5efa\u7acb\u4e86\u5f71\u54cd\u529b\u51fd\u6570\u7684\u6b21\u6a21\u4e0a\u3001\u4e0b\u754c\uff0c\u5e76\u901a\u8fc7\u8d2a\u5fc3\u7b56\u7565\u540c\u65f6\u4f18\u5316\u4e0a\u4e0b\u754c\uff0c\u89e3\u51b3\u4e86\u9762\u5411\u56e2\u4f53\u7528\u6237\u7684\u4f20\u64ad\u5f71\u54cd\u529b\u6700\u5927\u5316\u95ee\u9898\u3002<\/span><\/span><\/span><\/p>\n<\/li>\n

      2. \n

        Group Influence Maximization Problem in Social Networks (2019). <\/span><\/span><\/strong>Zhu, J., Ghosh, S., & Wu, W. (2019). Group Influence Maximization Problem in Social Networks. IEEE Transactions on Computational Social Systems, 6(6), 1156-1168. https:\/\/doi.org\/10.1109\/TCSS.2019.2938575 \u672c\u6587\u7814\u7a76\u4e86\u793e\u4ea4\u7f51\u7edc\u4e2d\u7684\u7fa4\u4f53\u5f71\u54cd\u529b\u6700\u5927\u5316\uff08GIM\uff09\u95ee\u9898\uff0c\u5176\u76ee\u6807\u4e0d\u518d\u662f\u6700\u5927\u5316\u6fc0\u6d3b\u7684\u4e2a\u4f53\u7528\u6237\u6570\uff0c\u800c\u662f\u6700\u5927\u5316\u88ab\u6fc0\u6d3b\u7684\u7fa4\u7ec4\u6570\u91cf\u3002\u901a\u8fc7\u6784\u9020\u5177\u6709\u6b21\u6a21\u6027\u7684\u4e0a\u754c\u548c\u4e0b\u754c\u51fd\u6570\u6765\u903c\u8fd1\u539f\u95ee\u9898\uff0c\u5e76\u63d0\u51fa\u4e86GCMA\u7b97\u6cd5\uff0c\u4e3a\u89e3\u51b3\u975e\u6b21\u6a21\u5f71\u54cd\u529b\u4f18\u5316\u95ee\u9898\u63d0\u4f9b\u4e86\u7406\u8bba\u652f\u6491\u3002<\/span><\/span><\/span><\/p>\n<\/li>\n<\/ol>\n


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

        \u4e09\u3001\u590d\u6742\u7f51\u7edc\u5206\u6790\u4e0e\u4f18\u5316\uff5c\u6df1\u5ea6\u5b66\u4e60\u548c\u5f3a\u5316\u5b66\u4e60\u5728\u4f20\u64ad\u5173\u952e\u8282\u70b9\u95ee\u9898\u7684\u5e94\u7528\u6269\u5c55<\/span><\/span><\/strong><\/p>\n

          \n
        1. \n

          Deep graph representation learning and optimization for influence maximization (2023)<\/span><\/span><\/strong>Ling, C., Jiang, J., Wang, J., Thai, M., Xue, L., Song, J., Qiu, M., & Zhao, L. (2023). Deep graph representation learning and optimization for influence maximization. In Proceedings of the 40th International Conference on Machine Learning (ICML). https:\/\/proceedings.mlr.press\/v202\/ling23b\/ling23b.pdf \u672c\u6587\u901a\u8fc7\u81ea\u7f16\u7801\u5668\u5c06\u79cd\u5b50\u96c6\u9009\u62e9\u95ee\u9898\u6620\u5c04\u5230\u4f4e\u7ef4\u8fde\u7eed\u7684\u6f5c\u5728\u7a7a\u95f4\u8fdb\u884c\u4f18\u5316\uff0c\u4e0e\u7ecf\u5178\u65b9\u6cd5\u4f9d\u6b21\u9009\u62e9\u4f20\u64ad\u6e90\u4e0d\u540c\u7684\u662f\uff0c\u8be5\u65b9\u6848\u4e00\u6b21\u6027\u9009\u62e9\u591a\u4e2a\u4f20\u64ad\u6e90\u8282\u70b9\uff0c\u89e3\u51b3\u4e86\u73b0\u6709\u5f71\u54cd\u529b\u6700\u5927\u5316\u65b9\u6cd5\u7684\u53ef\u6269\u5c55\u6027\u3001\u6a21\u578b\u5931\u771f\u4e0e\u7ea6\u675f\u9002\u5e94\u6027\u95ee\u9898\u3002<\/span><\/span><\/span><\/p>\n<\/li>\n

        2. \n

          Finding key players in complex networks through deep reinforcement learning(2020)<\/span><\/span><\/strong>Fan, C., Zeng, L., Sun, Y. & Liu, Y.-Y. Finding key players in complex networks through deep reinforcement learning. Nature Machine Intelligence 2, 317-324 (2020).  https:\/\/www.nature.com\/articles\/s42256-020-0177-2 \u672c\u6587\u6784\u5efa\u4e86\u4e00\u4e2a\u5f3a\u5316\u5b66\u4e60\u6a21\u578b\uff0c\u8be5\u6a21\u578b\u5c06\u5f71\u54cd\u529b\u6700\u5927\u5316\u95ee\u9898\u6784\u5efa\u4e3a\u9a6c\u5c14\u53ef\u592b\u51b3\u7b56\u8fc7\u7a0b\uff0c\u5e76\u80fd\u9002\u914d\u5230\u591a\u79cd\u5173\u952e\u8282\u70b9\u9009\u62e9\u95ee\u9898\uff0c\u901a\u8fc7\u5728\u5c0f\u7f51\u7edc\u4e0a\u8fdb\u884c\u79bb\u7ebf\u8bad\u7ec3\uff0c\u5bf9\u5927\u89c4\u6a21\u590d\u6742\u7f51\u7edc\u8fdb\u884c\u5728\u7ebf\u63a8\u7406\uff0c\u5728\u6548\u7387\u548c\u51c6\u786e\u5ea6\u4e0a\u8fbe\u5230\u4e86\u5f88\u597d\u7684\u5e73\u8861\u3002<\/span><\/span><\/span><\/p>\n<\/li>\n

        3. \n

          Deep-learning-aided dismantling of interdependent networks. (2025)<\/span><\/span><\/strong>Gu, W., Yang, C., Li, L., Hou, J., & Radicchi, F. (2025). Deep-learning-aided dismantling of interdependent networks. Nature Machine Intelligence(2025). https:\/\/www.nature.com\/articles\/s42256-025-01070-2 \u672c\u6587\u9996\u6b21\u5b9e\u73b0\u591a\u5c42\u7f51\u7edc\u8868\u793a\u5b66\u4e60\u4e0e\u6df1\u5ea6\u5f3a\u5316\u5b66\u4e60\u7684\u7ed3\u5408\uff0c\u7528\u4e8e\u89e3\u51b3\u591a\u5c42\u76f8\u4e92\u4f9d\u8d56\u7f51\u7edc\u7684\u62c6\u89e3\u95ee\u9898\uff0c\u5176\u6cdb\u5316\u80fd\u529b\u548c\u6027\u80fd\u5728\u75be\u75c5\u63a7\u5236\u3001\u57fa\u7840\u8bbe\u65bd\u4fdd\u62a4\u7b49\u5b9e\u9645\u5e94\u7528\u4e2d\u5f97\u5230\u9a8c\u8bc1\uff0c\u53ef\u7528\u4e8e\u4f20\u64ad\u4e2d\u7684\u5173\u952e\u8282\u70b9\u9009\u62e9\u95ee\u9898\u3002<\/span><\/span><\/span><\/p>\n<\/li>\n<\/ol>\n


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


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

          \u53c2\u4e0e\u65f6\u95f4\uff1a<\/span><\/span><\/strong>2025\u5e749\u670827\u65e5\uff08\u5468\u516d\uff0910:00-12:00 \u5317\u4eac\u65f6\u95f4<\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

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          \u62a5\u540d\u52a0\u5165\u793e\u7fa4\u4ea4\u6d41<\/span><\/span><\/strong><\/p>\n

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          \u626b\u7801\u62a5\u540d\uff08\u53ef\u5f00\u53d1\u7968\uff09<\/span><\/span><\/span><\/p>\n

          \u62a5\u540d\u94fe\u63a5\uff1ahttps:\/\/pattern.swarma.org\/study_group\/67?from=wechat<\/span><\/span><\/span><\/p>\n


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

          \u626b\u7801\u53c2\u4e0e<\/span>AI\u00d7\u4f20\u64ad\u8bfb\u4e66\u4f1a\u793e\u533a<\/span><\/a>\uff0c\u52a0\u5165\u7fa4\u804a\uff0c\u83b7\u53d6\u7cfb\u5217\u8bfb\u4e66\u4f1a\u56de\u770b\u6743\u9650\uff0c\u52a0\u5165AI\u00d7\u4f20\u64ad\u793e\u533a\uff0c\u4e0e\u793e\u533a\u7684\u4e00\u7ebf\u79d1\u7814\u5de5\u4f5c\u8005\u6c9f\u901a\u4ea4\u6d41\uff0c\u5171\u540c\u63a2\u7d22AI\u4e0e\u4f20\u64ad\u7684\u524d\u6cbf\u4ea4\u53c9\uff0c\u6765\u6df1\u5ea6\u7406\u89e3\u4f20\u64ad\u673a\u5236\u548c\u4f20\u64ad\u751f\u6001\u3002<\/span><\/span><\/p>\n


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

          \u89c6\u9891\u53f7\u76f4\u64ad\u9884\u7ea6\uff1a<\/span><\/span><\/p>\n

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          AI\u00d7\u4f20\u64ad\u8bfb\u4e66\u4f1a<\/span><\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


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

          \u5728AI\u5feb\u901f\u53d1\u5c55\u7684\u5f53\u4e0b\uff0cAI\u4e0d\u4ec5\u6df1\u523b\u5f71\u54cd\u7740\u4fe1\u606f\u4f20\u64ad\u7684\u65b9\u5f0f\uff0c\u4e5f\u4e3a\u4f20\u64ad\u5b66\u7814\u7a76\u5e26\u6765\u4e86\u5168\u65b0\u89c6\u89d2\u548c\u65b9\u6cd5\u3002\u57fa\u4e8e\u6b64\uff0c\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u5317\u4eac\u5e08\u8303\u5927\u5b66\u8bb8\u5c0f\u53ef\u6559\u6388\u3001\u6d59\u6c5f\u5927\u5b66\u5f20\u5b50\u67ef\u6559\u6388\u3001\u5357\u4eac\u5927\u5b66\u738b\u6210\u519b\u6559\u6388\u3001\u6df1\u5733\u5927\u5b66\u5ed6\u597d\u526f\u6559\u6388\u5171\u540c\u53d1\u8d77<\/span>\u201cAI\u00d7\u4f20\u64ad\u201d\u8bfb\u4e66\u4f1a<\/span><\/a>\uff0c\u4ece\u8ba1\u7b97\u53d9\u4e8b\u3001\u667a\u80fd\u4f20\u64ad\u3001\u4eba\u673a\u4f20\u64ad\u4e0e\u4f20\u64ad\u4eff\u771f\u56db\u4e2a\u677f\u5757\u5411\u6765\u5171\u540c\u63a2\u7d22AI\u4e0e\u4f20\u64ad\u7684\u524d\u6cbf\u4ea4\u53c9\uff0c\u6765\u6df1\u5ea6\u7406\u89e3\u4f20\u64ad\u673a\u5236\u548c\u4f20\u64ad\u751f\u6001\u3002\u8bfb\u4e66\u4f1a\u81ea8\u670823\u65e5\u8d77\uff0c\u6bcf\u5468\u516d10:00-12:00\u4e3e\u884c\uff0c\u9884\u8ba1\u6301\u7eed12\u5468\u3002<\/span><\/span><\/p>\n

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          1. \n

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          2. \n

            \u5728\u590d\u6742\u793e\u4ea4\u7f51\u7edc\u73af\u5883\u4e2d\uff0c\u5982\u4f55\u6784\u5efa\u667a\u80fd\u5316\u7684\u4fe1\u606f\u53ef\u4fe1\u5ea6\u8bc4\u4f30\u4e0e\u865a\u5047\u4fe1\u606f\u9632\u63a7\u673a\u5236\uff1f<\/span><\/span><\/p>\n<\/li>\n

          3. \n

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          4. \n

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          5. \n

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

            <\/span><\/section>\n
            \u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u62a5\u540d\u8bfb\u4e66\u4f1a<\/span><\/span><\/section>\n<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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