标题:The Influence of Human Heterogeneity to Information Spreading
作者:Zhi-Qiang Zhu;Chuan-Jian Liu;Jian-Liang Wu;Jin Xu;Bin Liu
作者机构:[Zhu, Z.-Q] School of Mathematics, Shandong University, Jinan, 250100, China;[ Liu, C.-J] School of Mathematics, Shandong University, Jinan, 250100, C 更多
通讯作者:Wu, JL
通讯作者地址:[Wu, JL]Shandong Univ, Sch Math, Jinan 250100, Peoples R China.
来源:Journal of Statistical Physics
出版年:2014
卷:154
期:6
页码:1569-1577
DOI:10.1007/s10955-014-0924-z
关键词:Information spreading;Human heterogeneity;Social reinforcement;Influence
摘要:Humans are an integral part of the wide world and material areas, and morphological difference is widespread. In this paper, we propose a model to emphasize the influence of human heterogeneity to information spreading on social networks, and the properties including memory effects, social reinforcement, non-redundancy and human heterogeneity are taken into account. Simulation results indicate that the small-world networks generate the most effective spreading for the stronger human heterogeneity; however, for the weaker human heterogeneity, the regular networks will be more effective. In addition, for a given BA scale-free network, the stronger human heterogeneity will be more conducive to information spreading.
收录类别:SCOPUS;SCIE;SSCI
WOS核心被引频次:1
Scopus被引频次:3
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84897598661&doi=10.1007%2fs10955-014-0924-z&partnerID=40&md5=bd097fbc682e83894ff8b037e8df57b5
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