物理学报Issue(16)：1-9,9.DOI:10.7498/aps.63.160501
基于信息熵的社交网络观点演化模型
Opinion evolution mo del of so cial network based on information entropy
摘要
Abstract
With the development of network services, social networking has become a new medium of information dissemination. Thus, many scholars pay close attention to the evolution of network public opinion which has great significance and practical value. In this paper, an opinion evolution model of social network based on information entropy is proposed, which is helpful to investigate the evolution of network public opinion. The model has two characteristics: firstly, it can reflect the psychological process when an individual makes a choice facing with two opposite views;secondly, it can reflect the influence of subjective and objective factors when the individual forms new ideas. In the simulation, some issues are discussed which includes the effects of the public opinion environment on the individual opinion evolution, the influences of the initial opinion and self-confidence on the individual opinion evolution, and the effects of leaders’ opinions on the opinion evolution of populations. From the experimental results it follows that the model works well and can reflect the characteristics of individuals in real social networks. For example, the formation of the individual’s opinion will be affected by public opinion environment, and an individual will not accept the opinions from others if he is very confident, and the opinion evolution of populations will be influenced when there exist the leader’s opinions in network.关键词
复杂网络/社交网络/观点动力学Key words
complex network/social network/opinion dynamics引用本文复制引用
黄飞虎,彭舰,宁黎苗..基于信息熵的社交网络观点演化模型[J].物理学报,2014,(16):1-9,9.基金项目
国家自然科学基金(批准号：U1333113, F020809)资助的课题.* Project supported by the National Natural Science Foundation of China (Grant Nos. U1333113, F020809) （批准号：U1333113, F020809）
