网络舆论演化的高影响力优先有限信任模型  

High-Effect Priority Bounded Confidence Model for Network Opinion Evolution

作　　者：陈桂茸[1,2] 蔡皖东[1] 徐会杰[1] 晏沛湘 王剑平[1] 

机构地区：[1]西北工业大学计算机学院 [2]空军工程大学信息与导航学院 [3]南京军区73685部队

出　　处：《上海交通大学学报》2013年第1期155-160,共6页Journal of Shanghai Jiaotong University

基　　金：西北工业大学基础研究基金资助项目(JC201149)

摘　　要：针对经典有限信任模型在观点更新时需考虑其他全部个体的观点,以及虚拟社会网络规模巨大、用户时间和精力有限等问题,提出了基于影响力和信任阈值、含有双重选择机制的网络舆论演化模型,并对参与网络舆论演化个体的观点坚持策略进行建模,在多个参数集下对该模型与经典有限信任模型进行仿真.结果表明,所获得结果与实际网络舆论演化的情况相符.Artificial social networks which include thousands of members have become an important plat- form for network opinion evolution. People will not try their best to get and consider all other people＇s opinions when they give their opinions in Internet, because they do not have enough time and energy to do this, and they don＇t think it is necessary. But in bounded confidence model, it needs to take into account all the other people＇s opinions when any people update his opinion, which is in conflict with the real net- works. To solve this problem, a novelty network opinion evolution model with dual-choices based on effect and confidence was proposed, according to human behavioral patterns in real networks, and a model o{ people＇s opinion insistence strategy was made. The new model and the bounded confidence model with dif ferent sets of parameters were simulated for many times, and the results are in good agreement with what happened in real networks.

关 键 词：网络舆论演化 高影响力 优先 有限信任模型 观点坚持策略 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]