Opinion Dynamics Considering Social Comparison in Online Social Networks

被引：0
|
作者：
Liu, Mengmeng [1 ]
Rong, Lili [1 ]
机构：
[1] Dalian Univ Technol, Inst Syst Engn, Dalian 116023, Peoples R China
来源：
KNOWLEDGE AND SYSTEMS SCIENCES, KSS 2019 | 2019年 / 1103卷
基金：
中国国家自然科学基金;
关键词：
Opinion dynamics; Social comparison; Compromise theory; Online social networks; BOUNDED CONFIDENCE; PROPAGATION;
D O I：
10.1007/978-981-15-1209-4_11
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Social comparison theory holds that people will evaluate their opinions by comparison with someone close to their own abilities or opinions. Inspired by this, we propose an opinion dynamic model referring to classic Deffuant model combined with online communication characteristics. Opinions in this model are produced along with information diffusion and thus result in dynamic population in opinion interactions. And interactions are allowed between commenters who comment on the same post or repost. Through simulations, our model is observed to present more divergent opinions than classic Deffuant model as is also believed in reference [15]. Moreover, effects of different compromise thresholds, namely confidence bound, and comparison thresholds are discussed. Further simulations are also conducted to clarify the impacts of diffusion parameters on opinion evolution.
引用
收藏
页码：149 / 159
页数：11
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