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官方-民间舆论场协同驱动的异质层次网络个体传播影响力评价
引用本文:索琪,王力媛.官方-民间舆论场协同驱动的异质层次网络个体传播影响力评价[J].情报探索,2022(1):10-18.
作者姓名:索琪  王力媛
作者单位:青岛科技大学经济与管理学院 山东青岛 266061
基金项目:国家自然科学基金项目“官方-民间舆论场协同驱动的网络热点信息传播动力学研究:基于超网络视角”(项目编号:71801139);山东省社会科学规划研究项目“多元舆论场共存背景下的网络舆情演变规律及管控策略研究”(项目编号:18CHLJ12)成果之一。
摘    要:目的/意义]旨在官方舆论场和民间舆论场并存的现实背景下,深入探究异质性网络上的信息传播规律。方法/过程]从理论层面给出异质层次网络的研究框架,构建个体信息传播影响力评价指标。以抖音短视频平台为例,界定账号类型,基于账号之间的关注关系数据进行实证分析,获得高影响力舆论个体账号,验证了研究方法的可行性。结果/结论]异质层次网络方法为分析不同类型舆论个体之间的交互作用提供了理论体系,识别出的核心传播节点和关键传播路径有助于为舆情管控提供决策支持。

关 键 词:官方-民间舆论场  异质层次网络  传播影响力

Evaluation of Individual Dissemination Influence in Heterogeneous Hierarchical Network Driven by Both Official and Private Opinion Field
Suo Qi,Wang Liyuan.Evaluation of Individual Dissemination Influence in Heterogeneous Hierarchical Network Driven by Both Official and Private Opinion Field[J].Information Research,2022(1):10-18.
Authors:Suo Qi  Wang Liyuan
Institution:(College of Economics and Management,Qingdao University of Science and Technology,Qingdao Shandong 266061)
Abstract:Purpose/significance]The paper aims to explore information dissemination law on heterogeneous networks in depth under realistic background of coexistence of official and private opinion fields.Method/process]The research framework of heterogeneous hierarchical network is given from theoretical level,and individual information dissemination influence evaluation index is constructed.Taking Douyin short video platform as an example,this paper defines account types,conducts empirical analysis based on concerned relationship data between accounts to obtain individual account of high influence public opinion,which verifies the feasibility of research method.Result/conclusion]The heterogeneous hierarchical network method provides a theoretical system for analyzing interaction between different types of public opinion individuals.The identified core communication nodes and key communication paths help to provide decision support for public opinion control.
Keywords:official and private opinion field  heterogeneous hierarchical network  dissemination influence
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