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考虑多层邻居节点影响的微博网络舆论演化模型 被引量:13

Public opinion model of micro-blog network with influence of multi-layered neighbor nodes considered
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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
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