基于社会网络的群体情绪模型  

Emotion modeling of crowd based on social network

作　　者：殷雁君[1,2] 唐卫清[3] 李蔚清[2] 

机构地区：[1]内蒙古师范大学计算机与信息工程学院,呼和浩特010022 [2]南京理工大学计算机科学与技术学院,南京210094 [3]中国科学院计算技术研究所,北京100190

出　　处：《计算机应用研究》2015年第1期80-84,共5页Application Research of Computers

基　　金：内蒙古自治区高等教育科学研究项目(NJSY13047);内蒙古师范大学科研基金资助项目(2012ZRYB009);内蒙古自然科学基金项目(2014MS0614)

摘　　要：为了能够深入认识群体事件中群体情绪的演化过程,提出了基于社会人际关系的群体情绪模型构建方法。以小世界网络模型构建个体间社会关系,并通过引入情感关系参数表达现实生活中个体间的强情感、弱情感和陌生关系。基于Bosse等人提出的群体情绪模型,以社会网络作为情绪传播媒介对不同类别人际关系情境中群体情绪的演化态势进行了实验模拟,分析了近邻数K、重连概率P和情感关系R对群体情绪涌现所产生的影响。结果表明,情感关系越亲近、近邻数K越大,群体情绪最终的强度则越强烈,情绪涌现所需时间越短;重连概率P对群体情绪强度也有微弱影响,但作用并不十分显见。To better understand the evolution process of emotion in crowd situation, this paper provided a method of building the emotion model based on interpersonal relationship. It constructed interpersonal relationship on the basis of the small world network, and represented the emotional relationship among persons in the real life by parameter of mood introduced in the mod- el. Based on the Bosses＇ group emotion model and the relationship network as the medium of emotion contagion, it simulated the evolution process of emotion under the different relationship situations. It studied the influence of the adjacent neighbors number K, the rewiring probability P and the affection relationship R on the result of emotion contagion. The numerical simu- lation results confirm that the closer the affection relationship of crowd is and the more the neighbor number of K, the stronger the emotion strength of crowd and the shorter the time is. Rewiring probability P also has slightly effect on the intensity of group emotion.

关 键 词：群体情绪 社会网络 情绪模型 情绪感染 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]