{"id":8431,"date":"2016-12-03T01:00:00","date_gmt":"2016-12-02T17:00:00","guid":{"rendered":"http:\/\/swarma.org\/%swarma-paper%\/"},"modified":"2018-12-06T00:46:58","modified_gmt":"2018-12-05T16:46:58","slug":"%e4%bb%8e%e5%a4%a7%e6%95%b0%e6%8d%ae%e5%88%b0%e9%87%8d%e8%a6%81%e4%bf%a1%e6%81%af-%e5%a4%8d%e6%9d%82%e6%96%87%e6%91%98%e7%bf%bb%e8%af%91","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=8431","title":{"rendered":"\u4ece\u5927\u6570\u636e\u5230\u91cd\u8981\u4fe1\u606f | \u590d\u6742\u6587\u6458\u7ffb\u8bd1"},"content":{"rendered":"
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\u5982\u4f55\u523b\u753b\u5171\u751f\u6f14\u5316\u7684\u81ea\u9002\u5e94\u7f51\u7edc\u4e0a\u7531\u4e2a\u4f53\u7b56\u7565\u81ea\u7ec4\u7ec7\u6240\u4ea7\u751f\u7684\u5168\u79cd\u7fa4\u8303\u56f4\u7684\u96c6\u4f53\u52a8\u529b\u5b66\uff1f<\/span><\/strong><\/span><\/p>\n

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\u96c6\u667a\u590d\u6742\u6587\u6458\u7ffb\u8bd1\u5c0f\u7ec4\u4e3a\u4f60\u5448\u73b0\u65b0\u9c9c\u7684\u7814\u7a76\u5185\u5bb9\uff01<\/strong><\/p>\n<\/section>\n

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\u4ece\u5927\u6570\u636e\u5230\u91cd\u8981\u4fe1\u606f<\/span><\/strong><\/span><\/p>\n

\uff08From Big Data To Important Information\uff09<\/span><\/strong><\/span><\/p>\n

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April 15, 10:34 PM<\/span><\/p>\n<\/blockquote>\n

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BY Yaneer Bar-Yam<\/span><\/p>\n<\/blockquote>\n

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(Translated by – \u732a\u54e5)<\/span><\/strong><\/p>\n<\/blockquote>\n

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\u4e0d\u65ad\u53d1\u5c55\u7740\u7684\u79d1\u5b66\u6b63\u5728\u5bfb\u627e\u65b0\u7684\u5951\u673a\u53bb\u6536\u96c6\u5927\u91cf\u5173\u4e8e\u590d\u6742\u7cfb\u7edf\u7684\u6570\u636e\u3002\u4eba\u4eec\u867d\u7136\u5728\u7cfb\u7edf\u7684\u7ec6\u8282\u7ed3\u6784\u4e0a\u53d6\u5f97\u4e86\u91cd\u8981\u8fdb\u5c55\uff0c\u4f46\u8fd8\u4e0d\u6e05\u695a\u5982\u4f55\u8fd0\u7528\u8fd9\u4e9b\u6570\u636e\u53bb\u89e3\u51b3\u4eba\u7c7b\u6240\u9762\u4e34\u7684\u6311\u6218\u3002\u6211\u4eec\u5e0c\u671b\u89e3\u51b3\u7684\u95ee\u9898\u901a\u5e38\u9700\u8981\u786e\u5b9a\u4eba\u4e3a\u5e72\u9884\u5982\u4f55\u5bf9\u7cfb\u7edf\u4ea7\u751f\u5f71\u54cd\uff0c\u800c\u8fd9\u4e9b\u5f71\u54cd\u5728\u73b0\u6709\u7684\u8be6\u7ec6\u6570\u636e\u4e2d\u5e76\u4e0d\u660e\u663e\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u5bf9\u4e00\u4e9b\u91cd\u8981\u6982\u5ff5\u8fdb\u884c\u56de\u987e\uff0c\u5e76\u8bd5\u56fe\u5efa\u7acb\u4e00\u4e2a\u4e00\u822c\u7684\u6846\u67b6\u6765\u6784\u5efa\u590d\u6742\u7cfb\u7edf\u7684\u5927\u578b\u89c6\u56fe\uff0c\u5e76\u523b\u753b\u51fa\u4fe1\u606f\u5728\u7269\u7406\u3001\u751f\u7269\u548c\u793e\u4f1a\u7cfb\u7edf\u4e2d\u7684\u91cd\u8981\u6027\u3002\u6211\u4eec\u63d0\u4f9b\u4e86\u5c06\u5176\u5e94\u7528\u4e8e\u4e0e\u751f\u6001\u3001\u751f\u7269\u591a\u6837\u6027\u3001\u6d41\u884c\u75c5\u5b66\u4ee5\u53ca\u4eba\u7c7b\u5bff\u547d\u76f8\u5173\u7684\u8fdb\u5316\u751f\u7269\u5b66\u4e4b\u4e2d\uff1b\u4ee5\u53ca\u4e0e\u79cd\u65cf\u66b4\u529b\u3001\u5168\u7403\u7cae\u98df\u4ef7\u683c\u548c\u80a1\u5e02\u6050\u614c\u76f8\u5173\u7684\u793e\u4f1a\u7cfb\u7edf\u4e4b\u4e2d\u7684\u6848\u4f8b\u3002\u901a\u8fc7\u5c06\u79d1\u5b66\u63a2\u7a76\u8f6c\u5316\u4e3a\u4e00\u79cd\u786e\u5b9a\u4ec0\u4e48\u91cd\u8981\u4ec0\u4e48\u4e0d\u91cd\u8981\u7684\u95ee\u9898\uff0c\u6211\u4eec\u5bf9\u4e8e\u8bb8\u591a\u5b9e\u9645\u95ee\u9898\u5982\u7ecf\u6d4e\u53d1\u5c55\u6216\u75be\u75c5\u6cbb\u7597\u4f1a\u6709\u66f4\u6df1\u7684\u7406\u89e3\u3002<\/span><\/p>\n

\u4e0d\u65ad\u53d1\u5c55\u7740\u7684\u79d1\u5b66\u6b63\u5728\u5bfb\u627e\u65b0\u7684\u5951\u673a\u53bb\u6536\u96c6\u5927\u91cf\u5173\u4e8e\u590d\u6742\u7cfb\u7edf\u7684\u6570\u636e\u3002\u4eba\u4eec\u867d\u7136\u5728\u7cfb\u7edf\u7684\u8be6\u7ec6\u7ed3\u6784\u4e0a\u53d6\u5f97\u4e86\u91cd\u8981\u8fdb\u5c55\uff0c\u4f46\u8fd8\u4e0d\u6e05\u695a\u5982\u4f55\u8fd0\u7528\u8fd9\u4e9b\u6570\u636e\u53bb\u89e3\u51b3\u4eba\u7c7b\u6240\u9762\u4e34\u7684\u6311\u6218\u3002\u6211\u4eec\u5e0c\u671b\u89e3\u51b3\u7684\u95ee\u9898\u9700\u8981\u786e\u5b9a\u4eba\u4e3a\u5e72\u9884\u5bf9\u7cfb\u7edf\u7684\u5f71\u54cd\uff0c\u800c\u8fd9\u4e9b\u5f71\u54cd\u5728\u73b0\u6709\u7684\u8be6\u7ec6\u6570\u636e\u4e2d\u5e76\u4e0d\u660e\u663e\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u5ba1\u89c6\u91cd\u8981\u6982\u5ff5\uff0c\u4fc3\u4f7f\u5efa\u7acb\u4e00\u4e2a\u4e00\u822c\u7684\u6846\u67b6\u6765\u6784\u5efa\u590d\u6742\u7cfb\u7edf\u7684\u5927\u578b\u89c6\u56fe\uff0c\u5e76\u8868\u5f81\u7269\u7406\u3001\u751f\u7269\u548c\u793e\u4f1a\u7cfb\u7edf\u4e2d\u4fe1\u606f\u7684\u91cd\u8981\u6027\u3002\u6211\u4eec\u63d0\u4f9b\u4e86\u5176\u5e94\u7528\u4e8e\u4e0e\u751f\u6001\u5b66\u3001\u751f\u7269\u591a\u6837\u6027\u3001\u6d41\u884c\u75c5\u548c\u4eba\u7c7b\u5bff\u547d\u76f8\u5173\u7684\u8fdb\u5316\u751f\u7269\u5b66\uff0c\u4ee5\u53ca\u4e0e\u79cd\u65cf\u66b4\u529b\u3001\u5168\u7403\u7cae\u98df\u4ef7\u683c\u548c\u80a1\u5e02\u6050\u614c\u76f8\u5173\u7684\u793e\u4f1a\u7cfb\u7edf\u80cc\u666f\u4e0b\u7684\u4f8b\u5b50\u3002\u52aa\u529b\u8ba9\u79d1\u5b66\u63a2\u7a76\u6210\u4e3a\u786e\u5b9a\u4fe1\u606f\u91cd\u8981\u8fd8\u662f\u4e0d\u91cd\u8981\u7684\u4f9d\u636e\uff0c\u6709\u5229\u4e8e\u4fc3\u8fdb\u6211\u4eec\u5bf9\u8bb8\u591a\u5b9e\u9645\u5173\u5fc3\u7684\u95ee\u9898\u7684\u7406\u89e3\u548c\u89e3\u51b3\uff0c\u6bd4\u5982\u7ecf\u6d4e\u7684\u53d1\u5c55\u6216\u75be\u75c5\u7684\u6cbb\u7597\u3002<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n

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Advances in science are being sought in newly available opportunities to collect massive quantities of data about complex systems. While key advances are being made in detailed mapping of systems, how to relate this data to solving many of the challenges facing humanity is unclear. The questions we often wish to address require identifying the impact of interventions on the system and that impact is not apparent in the detailed data that is available. Here we review key concepts and motivate a general framework for building larger scale views of complex systems and for characterizing the importance of information in physical, biological and social systems. We provide examples of its application to evolutionary biology with relevance to ecology, biodiversity, pandemics, and human lifespan, and in the context of social systems with relevance to ethnic violence, global food prices, and stock market panic. Framing scientific inquiry as an effort to determine what is important and unimportant is a means for advancing our understanding and addressing many practical concerns, such as economic development or treating disease.<\/span><\/p>\n<\/section>\n

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\u539f\u6587\u94fe\u63a5\uff1a<\/span>http:\/\/arxiv.org\/abs\/1604.00976<\/a><\/span><\/p>\n<\/section>\n<\/blockquote>\n<\/section>\n<\/section>\n


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

\u81ea\u9002\u5e94\u793e\u4f1a\u7f51\u7edc\u4e2d\u4ece\u4e2a\u4f53\u5230\u96c6\u4f53\u884c\u4e3a\u7684\u8fde\u63a5 <\/span><\/strong><\/p>\n

\uff08Linking Individual and Collective Behavior in Adaptive Social Networksv\uff09<\/span><\/strong><\/p>\n

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<\/span>Phys. Rev. Lett. 116, 128702 April 15, 11:28 PM<\/span><\/p>\n<\/blockquote>\n

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BY Fl\u00e1vio L. Pinheiro, Francisco C. Santos, and Jorge M. Pacheco<\/span><\/p>\n<\/blockquote>\n

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(Translated by -\u9ad8\u5fb7\u534e)<\/span><\/strong><\/p>\n<\/blockquote>\n

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Adaptive social structures are known to promote the evolution of cooperation. However, up to now the characterization of the collective, population-wide dynamics resulting from the self-organization of individual strategies on a coevolving, adaptive network has remained unfeasible. Here we establish a (reversible) link between individual (micro)behavior and collective (macro)behavior for coevolutionary processes. We demonstrate that an adaptive network transforms a two-person social dilemma locally faced by individuals into a collective dynamics that resembles that associated with an N-person coordination game, whose characterization depends sensitively on the relative time scales between the entangled behavioral and network evolutions. In particular, we show that the faster the relative rate of adaptation of the network, the smaller the critical fraction of cooperators required for cooperation to prevail, thus establishing a direct link between network adaptation and the evolution of cooperation. The framework developed here is general and may be readily applied to other dynamical processes occurring on adaptive networks, notably, the spreading of contagious diseases or the diffusion of innovations.<\/span><\/p>\n

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\u539f\u6587\u94fe\u63a5\uff1a <\/span>http:\/\/journals.plos.org\/plosbiology\/article?id=10.1371\/journal.pbio.1002433<\/span><\/a><\/p>\n<\/blockquote>\n


<\/p>\n


<\/p>\n

\u591a\u5c42\u7f51\u7edc\u4e0a\u7684\u7269\u7406<\/span><\/strong><\/p>\n

\uff08The physics of multilayers networks\uff09<\/span><\/strong><\/p>\n


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April 16, 3:33 PM<\/span><\/p>\n<\/blockquote>\n

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BY Manlio De Domenico, Clara Granell, Mason A. Porter, Alex Arenas<\/span><\/p>\n<\/blockquote>\n

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(Translated by <\/span>\u8521\u5609\u6587<\/span>)<\/span><\/span><\/strong><\/p>\n<\/blockquote>\n

\u7f51\u7edc\u7814\u7a76\u662f\u8c03\u67e5\u65e0\u6570\u5b66\u79d1\u4e2d\u591a\u79cd\u7c7b\u7684\u590d\u6742\u7cfb\u7edf\u7684\u7ed3\u6784\uff0c\u52a8\u529b\u5b66\uff0c\u529f\u80fd\u7684\u5173\u952e\u3002\u5c3d\u7ba1\u4f20\u7edf\u7f51\u7edc\u5206\u6790\u53d6\u5f97\u4e86\u6210\u529f\uff0c\u4f46\u662f\u7531\u4e8e\u590d\u6742\u7cfb\u7edf\u4e2d\u7684\u7ec4\u6210\u7ed3\u6784\u548c\u5927\u91cf\u4e92\u76f8\u4f5c\u7528\u7684\u5b50\u7cfb\u7edf\uff08\u591a\u5143\u590d\u6742\u6027 multiplexity\uff09\uff0c\u666e\u901a\u7f51\u7edc\u96be\u4ee5\u5bf9\u5176\u8fdb\u884c\u5b8c\u5584\u7684\u8868\u793a\u3002\u8fd9\u79cd\u7ed3\u6784\u4e0a\u7684\u590d\u6742\u6027\u5bf9\u52a8\u529b\u5b66\u548c\u529f\u80fd\u90fd\u6709\u7740\u91cd\u8981\u7684\u4f5c\u7528\u3002\u5982\u679c\u7b80\u5355\u5730\u4e22\u6389\u6216\u8005\u805a\u5408\u53ef\u7528\u7684\u7ed3\u6784\u4fe1\u606f\u53ef\u80fd\u4ea7\u751f\u9519\u8bef\u7684\u7ed3\u679c\u5e76\u5bf9\u7cfb\u7edf\u7684\u5185\u5728\u673a\u5236\u7684\u7406\u89e3\u9020\u6210\u963b\u788d\u3002\u6700\u8fd1\u7684\u201c\u591a\u5c42\u7f51\u7edc\u201d\u6a21\u578b\u80fd\u591f\u4f7f\u6211\u4eec\u80fd\u591f\u6e05\u6670\u5730\u5efa\u6a21\u51fa\u8fd9\u79cd\u591a\u5143\u590d\u6742\u6027\u4ee5\u53ca\u5176\u4ed6\u771f\u5b9e\u7f51\u7edc\u7cfb\u7edf\u7684\u7279\u5f81\u3002\u4e00\u65b9\u9762\uff0c\u8fd9\u79cd\u65b9\u6cd5\u4f7f\u5f97\u6211\u4eec\u53ef\u4ee5\u5c06\u4e0d\u540c\u7684\u7ed3\u6784\u5173\u7cfb\u7f16\u7801\u5230\u4e00\u4e2a\u6613\u7528\u7684\u6570\u5b66\u5bf9\u8c61\u3002\u53e6\u4e00\u65b9\u9762\uff0c\u6211\u4eec\u53ef\u4ee5\u5728\u8fd9\u79cd\u76f8\u4e92\u8fde\u63a5\u7684\u7ed3\u6784\u4e0a\u5c1d\u8bd5\u4e0d\u540c\u79cd\u7c7b\u7684\u52a8\u529b\u5b66\u8fc7\u7a0b\u3002\u8fd9\u4e2a\u6846\u67b6\u662f\u5bf9\u590d\u6742\u7cfb\u7edf\u5efa\u7acb\u5b8c\u5584\u800c\u51c6\u786e\u7684\u7406\u89e3\u7684\u5173\u952e\u3002\u5bf9\u591a\u5c42\u7f51\u7edc\u7684\u7814\u7a76\u4e5f\u63ed\u793a\u51fa\u4e86\u4e00\u4e9b\u5728\u4f20\u7edf\u7f51\u7edc\u7ed3\u6784\u7684\u56fe\u8868\u793a\u4e0b\u88ab\u9690\u85cf\u7684\u7269\u7406\u8fc7\u7a0b\u3002\u5728\u8fd9\u91cc\u6211\u4eec\u8bd5\u56fe\u5bf9\u591a\u5c42\u7f51\u7edc\u4e0a\u7684\u52a8\u529b\u5b66\u8fc7\u7a0b\u5efa\u7acb\u66f4\u6df1\u523b\u7684\u7406\u89e3\uff0c\u5e76\u4e14\u7740\u91cd\u7a81\u51fa\u4e86\u4e00\u4e9b\u968f\u591a\u5c42\u7f51\u7edc\u7ed3\u6784\u53ca\u5176\u52a8\u529b\u5b66\u800c\u6d8c\u73b0\u51fa\u6765\u7684\u7269\u7406\u73b0\u8c61\u3002<\/span><\/p>\n

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The study of networks plays a crucial role in investigating the structure, dynamics, and function of a wide variety of complex systems in myriad disciplines. Despite the success of traditional network analysis, standard networks provide a limited representation of these systems, which often includes different types of relationships (i.e., “multiplexity”) among their constituent components and\/or multiple interacting subsystems. Such structural complexity has a significant effect on both dynamics and function. Throwing away or aggregating available structural information can generate misleading results and provide a major obstacle towards attempts to understand the system under analysis. The recent “multilayer’ approach for modeling networked systems explicitly allows the incorporation of multiplexity and other features of realistic networked systems. On one hand, it allows one to couple different structural relationships by encoding them in a convenient mathematical object. On the other hand, it also allows one to couple different dynamical processes on top of such interconnected structures. The resulting framework plays a crucial role in helping to achieve a thorough, accurate understanding of complex systems. The study of multilayer networks has also revealed new physical phenomena that remained hidden when using the traditional network representation of graphs. Here we survey progress towards a deeper understanding of dynamical processes on multilayer networks, and we highlight some of the physical phenomena that emerge from multilayer structure and dynamics.<\/span><\/p>\n

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\u539f\u6587\u94fe\u63a5\uff1a<\/span>http:\/\/arxiv.org\/abs\/1604.02021#<\/a><\/span><\/p>\n<\/section>\n<\/blockquote>\n<\/section>\n<\/section>\n


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\u7279\u522b\u9e23\u8c22\uff1a<\/strong><\/span><\/p>\n

\u611f\u8c22\u96c6\u667a\u521b\u59cb\u4eba\u5f20\u6c5f\u8001\u5e08\u548c\u5085\u6e25\u6210\u5927\u795e\u5bf9\u8bd1\u6587\u8fdb\u884c\u7684\u7ec6\u5fc3\u5ba1\u6821\u3002\uff08\u5c0f\u7f16\u624b\u52a8\u6bd4\u5fc3~\uff09<\/span><\/p>\n

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\"\u96c6\u667a\"
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\u590d\u6742\u6587\u6458\u7ffb\u8bd1\u5c0f\u7ec4\u7ffb\u8bd1\u4f5c\u54c1\u96c6\u9526<\/span><\/strong><\/p>\n

\u590d\u6742\u6587\u6458\u7ffb\u8bd1\u7b2c1\u671f<\/a>
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\u590d\u6742\u6587\u6458\u7ffb\u8bd1\u7b2c2\u671f<\/a><\/span><\/h1>\n

\u590d\u6742\u6587\u6458\u7ffb\u8bd1\u7b2c3\u671f<\/a><\/p>\n

\u300a\u81ea\u7136\u300b\u6742\u5fd7\u5bf9\u8bdd\u5218\u6148\u6b23\uff1a\u300a\u4e09\u4f53\u300b\u5199\u4f5c\u3001\u7075\u611f\u4ee5\u53ca\u4e2d\u56fd\u79d1\u5e7b<\/a><\/p>\n

\u5218\u5b87\u6606\u8bbf\u8c08 | \u4e2d\u56fd\u79d1\u5e7b\u4e0e\u7ffb\u8bd1\u7684\u827a\u672f<\/a><\/span><\/p>\n<\/p>\n

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\"\u96c6\u667a\"\u8ba9\u82f9\u679c\u7838\u5f97\u66f4\u731b\u70c8\u4e9b\u5427\uff01<\/span><\/p>\n<\/p>\n

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\u957f\u6309\u8bc6\u522b\u4e8c\u7ef4\u7801\uff0c\u5173\u6ce8\u96c6\u667aClub\uff0c<\/span><\/p>\n

\u8ba9\u6211\u4eec\u79bb\u79d1\u5b66\u63a2\u7d22\u66f4\u8fd1\u4e00\u6b65\u3002<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n

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\u59cb\u53d1\u4e8e\u5fae\u4fe1\u516c\u4f17\u53f7\uff1a \u96c6\u667a\u4ff1\u4e50\u90e8 <\/p>\n<\/blockquote>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

\u5982\u4f55\u8fd0\u7528\u5927\u91cf\u7684\u6570\u636e\u53bb\u89e3\u51b3\u4eba\u7c7b\u9762\u4e34\u7684\u6311\u6218\uff1f \u5982\u4f55\u523b\u753b\u5171\u751f\u6f14\u5316\u7684\u81ea\u9002\u5e94\u7f51\u7edc\u4e0a\u7531\u4e2a\u4f53\u7b56\u7565\u81ea\u7ec4\u7ec7\u6240\u4ea7\u751f\u7684\u5168\u79cd\u7fa4\u8303\u56f4\u7684\u96c6\u4f53\u52a8\u529b\u5b66\uff1f \u4ec0\u4e48\u662f\u591a\u5c42\u7f51\u7edc\u7ed3\u6784\u53ca\u5176\u52a8\u529b\u5b66\u800c\u6d8c\u73b0\u51fa\u6765\u7684\u7269\u7406\u73b0\u8c61\uff1f \u96c6\u667a\u590d\u6742\u6587\u6458\u7ffb\u8bd1\u5c0f\u7ec4\u4e3a\u4f60\u5448\u73b0\u65b0\u9c9c\u7684\u7814\u7a76\u5185\u5bb9\uff01 \u4ece\u5927\u6570\u636e\u5230\u91cd\u8981\u4fe1\u606f \uff08From Big Data To Important In…<\/p>\n","protected":false},"author":1,"featured_media":8432,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[22],"tags":[],"special":[],"_links":{"self":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/8431"}],"collection":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=8431"}],"version-history":[{"count":1,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/8431\/revisions"}],"predecessor-version":[{"id":8442,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/8431\/revisions\/8442"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/8432"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=8431"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=8431"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=8431"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=8431"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}