计算机应用与软件2017，Vol.34Issue(6)：52-56,68,6.DOI:10.3969/j.issn.1000-386x.2017.06.011
基于复杂网络的协同舆情演化模型研究
RESEARCH ON SYNERGISTIC OPINION EVOLUTION MODEL BASED ON COMPLEX NETWORKS
摘要
Abstract
Based on the complexity of interpersonal relationship network and the heterogeneity of individual neighborhood, a scale-free network with variable clustering coefficient is established.After that, a collaborative public opinion evolution model is constructed.The influence of the order parameter and network structure on the magnetic susceptibility of the system is discussed through simulation experiments under different parameters.The experimental results show that the order parameter can reflect the synergy effect of the public opinion system, which is more consistent with the actual situation of network public opinion evolution.In addition, when the network average is small, increasing the clustering coefficient can effectively suppress the spread of public opinion;when the average degree exceeds the critical value, will prompt the system to converge to the extreme attitude quickly, then clustering coefficient no longer plays a key role.The results can help to understand the law of evolution of public opinion and provide a theoretical reference for controlling the development of public opinion.关键词
舆情演化/复杂网络/协同效应/平均度/聚类系数Key words
Opinion evolution/Complex networks/Synergy effect/Average degree/Clustering coefficient分类
信息技术与安全科学引用本文复制引用
孙士保,张亚楠,张京山,章冲..基于复杂网络的协同舆情演化模型研究[J].计算机应用与软件,2017,34(6):52-56,68,6.基金项目
国家自然科学基金项目(51474095) （51474095）
河南省重点攻关项目(152102210277) （152102210277）
河南省产学研合作项目(152107000027) （152107000027）
河南省高校科技创新团队支持计划项目(17IRTSTHN010) （17IRTSTHN010）
河南科技大学科技创新团队项目(2015XTD011) （2015XTD011）
河南科技大学重大产学研合作培育基金项目(2015ZDCXY03). （2015ZDCXY03）
