图书情报工作

图书情报工作 >

2022 , Vol. 66 >Issue 16: 24 - 35

DOI: https://doi.org/10.13266/j.issn.0252-3116.2022.16.003

专题：数智驱动的重大突发事件网络舆情传播与应急管理

社交网络中意见领袖节点影响力指数模型及实证研究——以自然灾害“7·20”河南暴雨为例

  • 王晰巍 ,
  • 毕樱瑛 ,
  • 李玥琪
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  • 1. 吉林大学商学与管理学院 长春 130012;
    2. 吉林大学大数据管理研究中心 长春 130012;
    3. 吉林大学网络空间治理研究中心 长春 130012
王晰巍,吉林大学大数据管理研究中心主任,吉林大学网络空间治理研究中心主任,教授,博士生导师;李玥琪,博士研究生。

收稿日期: 2022-02-25

  修回日期: 2022-06-21

  网络出版日期: 2022-08-19

基金资助

本文系国家社会科学基金重大项目“大数据驱动的社交网络舆情主题图谱构建及调控策略研究”(项目编号:18ZDA310)研究成果之一。

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A Model and Empirical Study of Opinion Leader Node Influence Index in Social Networks——Taking the Natural Disaster "7·20" Henan Rainstorm as an Example

  • Wang Xiwei ,
  • Bi Yingying ,
  • Li Yueqi
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  • 1. School of Business and Management, Jilin University, Changchun 130012;
    2. Research Center for Big Data Management, Jilin University, Changchun 130012;
    3. Research Center for Cyberspace Governance, Jilin University, Changchun 130012

Received date: 2022-02-25

  Revised date: 2022-06-21

  Online published: 2022-08-19

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摘要

［目的/意义］在社交网络中,意见领袖节点影响力对社交网络舆情的发展至关重要,构建全面科学的社交网络意见领袖节点影响力指数及计算分析模型可以更好地识别关键意见领袖,更好地监督和引导舆情走向。［方法/过程］基于信息论和p指数的相关理论,从社交网络中意见领袖受认可度、情感联系度和网络传播度3个维度构建意见领袖节点影响力OLEI指数算法,并提出社交网络中意见领袖节点影响力指数计算及分析模型。结合自然灾害"7·20"河南暴雨中典型舆情话题对所构建的OLEI指数算法进行验证和分析。［结果/结论］实证研究结果表明,OLEI指数中受认可度能够反映社交网络用户对其他用户产生的舆论影响程度和信任支持程度;情感联系度可以反映意见领袖节点引发社交网络较大的用户情感波动,意见领袖的网络传播度越大,其在社交媒体平台中的地位越关键。

关键词： 社交网络; 意见领袖; 节点影响力; 指数

本文引用格式

王晰巍 , 毕樱瑛 , 李玥琪 . 社交网络中意见领袖节点影响力指数模型及实证研究——以自然灾害“7·20”河南暴雨为例[J]. 图书情报工作, 2022 , 66(16) : 24 -35 . DOI: 10.13266/j.issn.0252-3116.2022.16.003

Abstract

[Purpose/Significance] In social networks, opinion leader node influence plays an important role in the development of public opinion in social networks. Building a comprehensive scientific opinion leader node influence index and computational analysis model in social networks can better identify key opinion leaders and can better monitor and guide the direction of public opinion. [Method/Process] Based on the relevant theories of information theory and p-index, an OLEI index algorithm was constructed based on three dimensions of opinion leaders' recognition, emotional connection and network communication in social networks, and a model for calculating and analyzing the node influence index of opinion leaders in social networks was proposed. The OLEI index algorithm was validated and analyzed by combining the typical public opinion topics in the natural disaster "7·20" Henan rainstorm. [Result/Conclusion] The results of the empirical study show that the recognition degree in the OLEI index can reflect the degree of opinion influence and trust support of social network users on other users; the emotional connection degree can reflect that the opinion leader nodes have triggered greater user emotional fluctuations in the social network; the greater the network communication degree of the opinion leader, the more important the position it occupies in the social media network.

Key words： social networks; opinion leaders; node influence; index

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