摘要
【目的/意义】在社会化网络下,信息的传播时效性强,用户地域限制小和观点互动明显。论文分析观点传播对网民情绪的具体影响情况,探究在线社交网络中的传播规律。【方法/过程】应用平均场理论和小世界网络对社会化网络上新的传播模型进行假设分析,提出一种改进型的SIR模型,分析传播节点、易感节点和免疫节点在社会化网络信息传播过程中的变化情况。【结果/结论】随着时间推移,信息已知者不断增加,易感节点所占比例不断减少,其中绝大多数转化为免疫节点,小部分转化为普通传播节点;传播节点所占比例不断下降为较低水平,最终3类节点的数量趋于稳定,模型在参数上的微调就会对舆论传播的广度和速度产生很大的影响。
【Purpose /significance】In the social network, the timeliness of information dissemination is strong, the user'sgeographical constraints are small and the viewpoint interaction is obvious. This paper analyzes the specific impact ofviewpoint transmission on Internet users' emotions and explores the law of transmission in online social networks.【Method /process】This paper applies the mean field theory and the small world network to analyze the new communication model ofsocial networks. An improved SIR model is proposed to analyze the changes of communication nodes, susceptible nodes andimmune nodes in the process of social network information dissemination.【Result /conclusion】It reveals that as time goeson,the number of users knowing information increases,the proportions of susceptible nodes decreases,most of which convertto immune nodes and minority of which transform into normal dissemination nodes.Besides,the proportion of disseminationnodes decreases to lower level and at last the number of the three kinds of nodes tends to be stable and slight adjustment ofparameters of model can have much inhibiting effect on the extent and speed of the public opinion communication.
作者
王谢宁
朱志国
WANG Xie-ning ZHU Zhi-guo(Schoolof Management Science .and Engineering, Dongbei University of Finance and Economics, Dalian 116025,China)
出处
《情报科学》
CSSCI
北大核心
2017年第2期33-37,共5页
Information Science
基金
国家自然科学基金面上项目(71672023)
辽宁省教育厅科学研究一般项目(L2015164)
东北财经大学科研项目(DUFE2015Y17)
教育部人文社会科学研究规划项目(16YJAZH083)