计算机科学 ›› 2023, Vol. 50 ›› Issue (7): 368-375.doi: 10.11896/jsjkx.220900113
崔允松1, 吴晔2,3, 许小可1
CUI Yunsong1, WU Ye2,3, XU Xiaoke1
摘要: 如今越来越多的人通过社交网络传播信息,在线社交网络逐渐改变了人们交换信息的方式,因此基于在线社交网络研究信息传播效果的影响因素受到众多研究人员的关注,尤其是网络结构对信息传播效果的影响。以往研究大都强调某种网络统计量对信息传播效果的影响,但各个网络统计量之间相互耦合的现象是客观存在的,某种网络统计量的改变可能导致其他网络统计量同步改变,从而可能影响最终的传播效果。提出一个解耦的零模型框架,通过零模型解耦不同网络统计量间的耦合作用,然后使用SIR传播模型仿真实验来分析网络统计量在没有耦合作用下对信息传播效果的影响,最后使用线性阈值模型仿真实验验证SIR模型的实验结论在社会强化中的适用性。通过Facebook和Twitter实证网络的传播模型仿真实验表明:网络的平均最短路径是影响信息传播速度和信息传播范围的主要因素,聚类系数是影响信息传播范围的次要因素。
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