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在线社交网络研究概述 被引量:1

A brief review of online social networks
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摘要 在线社交网络是伴随着互联网技术发展产生的,它属于众多复杂网络中的一种。近年来,对于在线社交网络的研究不断深入,研究方向可以细分为网络拓扑特征的分析、虚拟社区划分算法的研究、传播动力学研究、网络采样与重构、网络拓扑识别等。大数据研究的兴起使得在线社交网络的研究更加受到人们的关注。当前,人们的日常生活几乎离不开在线社交网络,也因此每天都会有大量的用户数据产生,分析、利用这些数据可以帮助人们了解自己并创造更多的价值。 Online social networks are generated along with the development of Internet technology, and it belongs to complex networks. In recent years, people have done many researches on online social networks. These researches are about the analysis of the characteristics of the network topology, the algorithms of the virtual communities finding , transmission dynamics, network sampling and reconstruction, and recogni- tion of the network topology . The emergence of big data makes more people pay attention to online social networking. Nowadays, people's life is almost inseparable from online social networks, and therefore there are a large number of user' s data generating . The analysis and use of these data can help people understand themselves and create more value.
出处 《微型机与应用》 2016年第14期12-15,18,共5页 Microcomputer & Its Applications
关键词 在线社交网络 拓扑特征 虚拟社区划分算法 采样 重构 大数据 online social networks topological characteristics virtual community finding algorithms sampling reconstruction big data
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  • 1BOCCALETTI S,.LATORA V,MORENO Y,et al.Complex network:structure and dynamics[J/OL].Physics Reports,2006,424:175-30.[2016-03-201.http://www.sciencedirect.com/science/article/pii/S037015730500462X.
  • 2方锦清,汪小帆,郑志刚,毕桥,狄增如,李翔.一门崭新的交叉科学:网络科学(上)[J].物理学进展,2007,27(3):239-343. 被引量:129
  • 3BARABaSI A L,ALBERT R.Emergence of scaling in random networks[J/OL].Science,1999,286(5439):509-12.[2016-03-201.http://science.sciencemag.org/content/286/5439/509.
  • 4WATTS D J,STROGATZ S H.Collective dynamics of smallworld networks[J/OL].Nature,1998,393(6684):440-442.[2016-03-201.http://apps.webofknowledge.com/full_record.do?product=UA&search_mode=GeneralSearch&qid=9&SID=N2CCOYPK3reQ14t9giD&page=1&doc=3.
  • 5Jiang Jing,WILSON C,Wang Xiao,et al.Understanding latent interactions in online social networks[J/OL].ACM Transactions on the Web,2010,7(4):369-382.[2016-03-201.http://apps.webofknowledge.com/full_record.do?product=UA&search_mode=GeneralSearch&qid=6&SID=N2CCOYPK3reQI4t9giD&page=1&doc=1.
  • 6郑浩原,黄战.复杂网络社区挖掘——改进的层次聚类算法[J].微型机与应用,2011,30(16):85-88. 被引量:6
  • 7顾宏博,奚杰杰,吴晶.基于关联系数的社区划分算法[J].微型机与应用,2015,34(18):17-19. 被引量:1
  • 8MORENO Y,NEKOVEE H,PACHECO A F.Dynamics of rumor spreading in complex networks[J/OL].Physical Review E,2004,69(6 Pt 2):066130.[2016-03-201.http://journals,aps.org/pre/abstract/10.1103/PhysRevE.69.066130.
  • 9汪小帆.网络科学发展研究[J].学科发展报告,2013,36(4):111-119.
  • 10LESKOVEC J,FALOUTSOS C.Sampling from large graphs[C].The Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining,2006;20-23.

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