摘要
针对微博网络中节点在传播路径上具有多层影响力的特点,提出一种结合微博网络中信息传播和观点交互的舆论演化模型,并考虑节点的自信程度,将节点的自信程度同网络结构结合起来,研究影响微博网络中舆论演化的主要因素.研究结果表明,考虑节点自信程度情况下,终态时网络舆论会出现更丰富的状态;一个极具吸引力的话题在微博网络中有较大概率形成一致性舆论;终态时的观点分布与初始节点的出度以及回溯深度相关,随着回溯深度的增加,终态时形成一致性舆论的概率增大.
As the nodes of micro-blog network have multi-layered influence on the propagation path, this paper proposes an evolution model of public opinion coupled with information dissemination and opinion interaction in micro-blog networks. Besides, self-confidence level is taken into consideration and integrated with the network structure to study the key factors which influence public opinion evolution in micro-blog networks. The results indicate that public opinion will show more abundant states in the terminal state when self-confidence level of nodes is taken into consideration, that an attractive topic in micro-blog network has a great probability of forming a consensus opinion, that opinion distribution in the final state is related to the out- degree of initial nodes and trackback depth, and that the probability to form a consensus opinion will increase with the raise of backtrack depth in the final state.
作者
刘泉
荣莉莉
于凯
Liu Quan;Rong Lili;Yu Kai(Institute of Systems Engineering, Dalian University of Technology, Dalian 116024, China;School of Computer Science and Engineering, Xinjiang University of Finance & Economics, Urumqi 830012, China)
出处
《系统工程学报》
CSCD
北大核心
2017年第6期721-731,共11页
Journal of Systems Engineering
基金
国家自然科学基金资助项目(71371039
91024003
91024031)
关键词
微博网络
舆论演化
自信程度
回溯深度
micro-blog network
Public opinion evolution
self-confidence level
trackback depth