融入内容与社团的超级意见领袖网络舆论模型

魏建良; 纪浩; 田腾艳; 周胜利

doi:10.11959/j.issn.1000-0801.2020152

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融入内容与社团的超级意见领袖网络舆论模型

研究与开发 | 更新时间：2024-06-05

- 融入内容与社团的超级意见领袖网络舆论模型
- Public opinion model based on super-influencer integrating network community and content
- 电信科学 2020年36卷第5期页码：93-105
- 作者机构：
  
  1. 浙江工商大学，浙江杭州 310018
  2. 浙江农林大学，浙江杭州 311300
  3. 中国联合网络通信有限公司浙江省分公司，浙江杭州 310006
  4. 浙江警察学院，浙江杭州 310053
- 作者简介：
  
  [ "魏建良（1980- ），男，博士，浙江工商大学副教授、硕士生导师，主要研究方向为电子商务与互联网信息服务" ]
  [ "纪浩（1991- ），男，浙江农林大学助理研究员，主要研究方向为在线用户行为与网络舆情" ]
  [ "田腾艳（1992- ），女，现就职于中国联合通信有限公司浙江省分公司，主要研究方向为在线用户行为" ]
  [ "周胜利（1982- ），男，博士，浙江警察学院高级工程师，主要研究方向为大数据安全、机器学习" ]
- 基金信息：
  
  国家社会科学基金资助项目;The National Social Science Foundation(18BTQ050)
- DOI：10.11959/j.issn.1000-0801.2020152
  中图分类号： N941
- 网络出版日期：2020-05，
  
  纸质出版日期：2020-05-20
- 稿件说明：
移动端阅览
魏建良, 纪浩, 田腾艳, 等. 融入内容与社团的超级意见领袖网络舆论模型[J]. 电信科学, 2020,36(5):93-105.

Jianliang WEI, Hao JI, Tengyan TIAN, et al. Public opinion model based on super-influencer integrating network community and content[J]. Telecommunications science, 2020, 36(5): 93-105.
魏建良, 纪浩, 田腾艳, 等. 融入内容与社团的超级意见领袖网络舆论模型[J]. 电信科学, 2020,36(5):93-105. DOI： 10.11959/j.issn.1000-0801.2020152.

Jianliang WEI, Hao JI, Tengyan TIAN, et al. Public opinion model based on super-influencer integrating network community and content[J]. Telecommunications science, 2020, 36(5): 93-105. DOI： 10.11959/j.issn.1000-0801.2020152.

摘要

针对当前社交网络中频发的意见偏差和扭曲问题，借鉴Deffuant-Weisbuch（DW）模型，结合用户关系、节点身份和信息噪音等因素，设计了融合内容与社团结构的超级意见领袖舆论模型，并通过仿真实验模拟舆论偏差产生过程。研究发现：超级意见领袖会导致网络舆论发生偏差性传播效果；内容争议性影响意见波动与收敛，但对最终演化结果影响不显著；强、弱社团对舆论演化的影响作用存在差异，通过提高社团内部强度和外部影响力能够与超级意见领袖进行意见对抗，进而改变舆论传播偏向。

Abstract

Aiming at the abnormal deviation and distortion of online public opinion

a public opinion model based on super-influencer integrating network community and content was designed.Deffuant-Weisbuch (DW) model was adopted

and factors such as user relationship

node identity and information noise were incorporated into the model

and the generation of public opinion deviation was simulated through simulation experiments.The results indicate that super-influencer leads to irreversible deviation of network public opinion

controversial content causes opinion fluctuation and convergence

but not the final opinion as a whole.There are differences in the interference effect between strong and weak communities

and by increasing the internal strength and external influence of the community

it can conduct public opinion confrontation with super-influencer

thus reversing the direction of public opinion deviation.

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