摘要
以复杂网络为背景,研究在网络动态变化下的舆情传递博弈行为。构建基于复杂网络的互联网舆情传递进化博弈模型,对整个舆情传递的博弈进化过程进行仿真模拟,求出稳定进化策略。研究发现,初始博弈策略的选择个体比例,对舆情传递具有重要影响。随着个体"传递"策略博弈方比例的升高,网络连接数的增多,均衡状态实现得越快。并且,由于"非全连接"的网络结构和网络匿名性的特征,在舆情传递过程会存在停滞和游走现象,最终会因群体压力使舆情走向衰退。同时,也为舆情传递监督者控制和引导网络舆情传递提供理论依据。
Based on the complex network, this paper studies the net - mediated public sentiment transfer game behavior in the Internet dynamic state. It sets up the network public sentiment transfer evolution game model, emulates the whole process of evolution game, and gets the stable evolution strategy. As a result, the beginning choice of the strategy has an important influence to the net - mediated public sentiment transfer. With the grown up rate of the game partner who has the strategy of ＂transfer＂, the more of the network link numbers, the quicker the balanced state realizes. And transfer process in the public opinion has stagnant and migrated phenomenon, which eventually makes public sentiment towards a recession with population pressure. This paper also gives some adviees to promote and control the behavior of net - media- ted public sentiment transfer.
出处
《现代图书情报技术》
CSSCI
北大核心
2013年第3期65-70,共6页
New Technology of Library and Information Service
基金
国家自然科学基金项目"互联网舆情演化中群体行为协同演进模型研究"(项目编号:71271120)
教育部人文社会科学基金项目"网络舆论危机的生成与预警机制研究"(项目编号:10YJC870052)
教育部人文社会科学基金项目"移动互联网热点舆情与网下集合行为的耦合性研究"(项目编号:11YJC630059)的研究成果之一
江苏省教育厅高校哲学社会科学基金项目"基于复杂在线网络的知识转移研究"(项目编号:2012SJB630050)
关键词
网络舆情
舆情传递
复杂网络
进化博弈
Net -mediated public sentiment Public sentiment transfer Complex network Evolutionary game
