在线社会网络共演化的结构推断与预测

发布时间：2018-07-13 17:07

【摘要】：在线社会网络研究中,关系结构和交互结构的共演化机理是一个十分关键的核心问题,它反映了在线社会网络关系结构变化、行为模式演化及关系结构与交互结构演化的互影响情况,对于社会推荐、网络舆情预警和控制等都具有重要意义.大量交互信息的可见性和真实关系结构的不易见性,使得利用动态交互网络直接推断隐结构和预测未来结构成为当前研究热点,并成为揭示共演化机理的一种途径.从微观尺度对2种重要的社会网络:社会媒体和社交网络中的动态结构推断和预测的研究进展进行了综述.首先对在线社会网络共演化和结构推断及预测进行定义,并对其之间关系进行分析;然后对隐关系强度推断、类型推断、关系结构预测和交互行为预测的关键技术等进行综述和分析,最后对在线社会网络结构推断与预测研究的难点和发展趋势进行分析和展望.
[Abstract]:In the research of online social network, the coevolution mechanism of relationship structure and interaction structure is a very key issue, which reflects the change of online social network relationship structure. The evolution of behavior pattern and the mutual influence of relationship structure and interaction structure are of great significance for social recommendation, early warning and control of network public opinion. The visibility of a large amount of interactive information and the non-visibility of the real relationship structure make the direct inference of implicit structure and prediction of future structure by using dynamic interactive networks become a hot research topic at present and become a way to reveal the mechanism of coevolution. This paper reviews the research progress of dynamic structure inference and prediction in two important social networks: social media and social networks. Firstly, the coevolution and structure inference and prediction of online social networks are defined, and the relationships between them are analyzed. The key technologies of relationship structure prediction and interactive behavior prediction are reviewed and analyzed. Finally, the difficulties and development trends of online social network structure prediction and prediction are analyzed and prospected.
【作者单位】：太原理工大学计算机科学与技术学院;中国科学院计算技术研究所;
【基金】：国家“九七三”重点基础研究发展计划基金项目(2013CB329602) 国家自然科学基金重点项目(61232010) 第53批中国博士后基金项目(2013M530738) 山西省国际合作项目(2011081034) 山西省回国留学人员基金项目(2010-31)
【分类号】：TP393.01

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