近年来,在线社交网络越来越成为情报和信息获取的重要渠道,而在线社交网络中的信息传播往往难以准确预测和防控.本文从复杂网络角度总结了在线社交网络信息传播研究的结构、算法和动力学等问题的最新研究进展,包括在线社交网络结构分析、信息传播动力学、网络结构预测算法;系统地总结和比较了当前比较有代表性的分析方法、模型和算法,并指出各方法的优缺点和适用范围;最后归纳了评价在线社交网络信息传播的指标体系.有助于深层次理解在线社交网络信息传播理论,并为舆情监控和信息侦测等实际应用提供科学依据.%It is always difficult to precisely predict and control the information spreading in online social networks.This paper summarized the recent research progress of this problem from the perspective of complex network theory.In particular,the followings were emphasized:empirical analysis on online social networks,information spreading dynamics,and link prediction algorithms.The respective problems were systematically studied and compared,and advantages and disadvantages of each,as well as their applicable areas.Finally,several typical evaluation metrics are summarized.This survey could shed some lights in understanding the theory of information spreading on social networks,providing scientific evidences to its various applications.
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