How information diffuse in a nomination network?

Minghao Wang, Keyu Xu, Xiaohui Wang, Paolo Mengoni

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

Abstract

During the special period of the COVID-19 outbreak, this project investigated the driving factors in different information diffusion modes (i.e. broadcasting mode, contagion mode) based on the nomination relations in a charitable social relay campaign on Sina Weibo. Specifically, we mapped a nomination social network and tracked the core communicators in both modes. Besides, we also observed the network from perspectives such as relationships between core communicators and modularity of the whole network. We extracted homophily factors and tested them on representative communities within the largest component of the network. We found that some core communicators distributed in a co-dependent way. At last, we presented several explanations to the phenomenon which can be explored in further research.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2020
EditorsJing He, Hemant Purohit, Guangyan Huang, Xiaoying Gao, Ke Deng
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages778-783
Number of pages6
ISBN (Electronic)9781665419246
ISBN (Print)9781665430173
DOIs
Publication statusPublished - Dec 2020
Event2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2020 (Virtual Conference) - Virtual, Online, Melbourne, Australia
Duration: 14 Dec 202017 Dec 2020

Publication series

NameProceedings - IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT

Conference

Conference2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2020 (Virtual Conference)
Country/TerritoryAustralia
CityMelbourne
Period14/12/2017/12/20

Scopus Subject Areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Software

User-Defined Keywords

  • Community detection
  • Homophily analysis
  • Information diffusion
  • Social network analysis

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