在线社交网络信息传播机制与动力学研究综述

发布时间：2018-07-16 18:00

【摘要】：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。
[Abstract]:In recent years, online social networks have become more and more important channels of intelligence and information acquisition, and information dissemination in online social networks is often difficult to accurately predict and prevent and control. In this paper, the structure, algorithm and dynamics of online social network information transmission are summarized from the point of view of complex network, including the analysis of online social network structure, the dynamics of information transmission, and the prediction algorithm of network structure. This paper systematically summarizes and compares the current representative analysis methods, models and algorithms, and points out the advantages and disadvantages of each method and its applicable scope. Finally, it summarizes the index system for evaluating the information dissemination of online social networks. It is helpful to deeply understand the theory of online social network information dissemination and provide scientific basis for practical applications such as public opinion monitoring and information detection.
【作者单位】：杭州师范大学阿里巴巴商学院;阿里巴巴研究院;上海交通大学自动化学院;
【基金】：国家自然科学基金面上项目“在线社交网络信息传播机制与动力学研究”(61673151);国家自然科学基金面上项目“具有时空时滞的传染病模型斑图动力学研究”(11671241);国家自然科学基金青年项目“基于个体行为特征的时效网络中传播源定位研究”(61503110)
【分类号】：G206

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