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The social negative mood index for social networks

  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With the wide application of social networks the interactions of users in social networks become more and more convenient, frequent and cheap for the people in real society. The related research of Behavioral science represents that individual emotions can profoundly affect individual behavior, the emotions of others,the group behavior,and decisionmaking of group.The public mood analysis for social networks have get attention by the early researchers about the social networks analysis,and further more they try to predict the financial markets from social networks to obtain the valuable information from the scial networks.This is a very important academic perspective that critical social intelligence information can be obtained through the analysis of social data from social networks and other social data sources.The public opinion analysis for social networks is an important research field. Nevertheless, the corresponding quantitative evaluation indexes of public opinion analysis trough social networks have not yet been developed.The corresponding social computing method is the base for the data analysis.This paper proposes both the concept of a social negative mood index for social networks and its calculation method, making it a fundamental work in the field of public opinion analysis.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE 3rd International Conference on Data Science in Cyberspace, DSC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages958-962
Number of pages5
ISBN (Electronic)9781538642108
DOIs
StatePublished - 16 Jul 2018
Event3rd IEEE International Conference on Data Science in Cyberspace, DSC 2018 - Guangzhou, Guangdong, China
Duration: 18 Jun 201821 Jun 2018

Publication series

NameProceedings - 2018 IEEE 3rd International Conference on Data Science in Cyberspace, DSC 2018
Volume2018-January

Conference

Conference3rd IEEE International Conference on Data Science in Cyberspace, DSC 2018
Country/TerritoryChina
CityGuangzhou, Guangdong
Period18/06/1821/06/18

Keywords

  • Information entropy
  • Information security
  • Public opinion analysis
  • Social computing
  • Social negative mood index
  • Social networks

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