微博社区网络结构特征对舆情信息传播的影响研究

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英文篇名：Research on the Influence of Weibo Community Network Structure Characteristics on the Spread of Public Opinion Information 作者：林云 ; 曾振华 ; 曾林浩 英文作者：LIN Yun;ZENG Zhen-hua;ZENG Lin-hao;School of Journalism and Communication, Jiangxi Normal University; 关键词：社会网络 ; 微博 ; 结构特征 ; 舆情传播 英文关键词：social network;;Weibo;;structural characteristics;;public opinion transmission 中文刊名：QBKX 英文刊名：Information Science 机构：江西师范大学新闻与传播学院; 出版日期：2019-02-26 出版单位：情报科学 年：2019 期：v.37;No.331 基金：国家哲学社会科学基金项目“网络空间党媒的社会共识话语生产研究”(18BXW120) 语种：中文; 页：QBKX201903010 页数：5 CN：03 ISSN：22-1264/G2 分类号：57-61

摘要

【目的/意义】微博社区网络结构特征一定程度上影响了舆情的信息传播机制。【方法/过程】以社会网络的角度分析了微博社区网络静态结构特征,同时构建了微博信息传播模型,实证分析了微博社区网络静态结构特征对舆情传播的影响研究。【结果/结论】实证结果显示,微博社区的网络结构规模、密度以及节点特征参数对舆情信息传播的受众度、流动度及影响力方面均有显著影响,存在着紧密的内部关联。
        【Purpose/significance】Characteristics of Micro-blog community network structure affect the public opinion information dissemination mechanism to a certain extent.【Method/process】The Sina Weibo community network is taken as an example to analyze its static structure characteristics from the perspective of social network. At the same time, Weibo information transmission model is constructed.Based on the empirical model, the influence of the static structure characteristics of microblog community networks on the spread of public opinion is analyzed.【Result/conclusion】The empirical results show that the scale, density, and node feature parameters of the microblog community's network structure are conducive to the dissemination of public information. There are strong internal correlation among these characteristics.

引文

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