Modeling influence on posting engagement: The Gaza great return March analyzed on Twitter

Alon Bartal

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

2 Scopus citations

Abstract

Exposure to online participation in an online social network (OSN) is often modeled as a neighbor-to-neighbor flow. Exposure to participation shift of a neighbor in an OSN, can influence a user to shift participation and engage in posting. Since many postings on OSNs are public, exposure to participation shifts of non-neighbors can also influence one's posting engagement. Modeling local and global influence on the posting engagement of a user, we demonstrate the model on Twitter interactions related to Gaza's Great Return March (GRM) and show the effects of both local and global influence.

Original languageEnglish
Title of host publicationProceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018
EditorsAndrea Tagarelli, Chandan Reddy, Ulrik Brandes
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages577-578
Number of pages2
ISBN (Electronic)9781538660515
DOIs
StatePublished - 24 Oct 2018
Externally publishedYes
Event10th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018 - Barcelona, Spain
Duration: 28 Aug 201831 Aug 2018

Publication series

NameProceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018

Conference

Conference10th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018
Country/TerritorySpain
CityBarcelona
Period28/08/1831/08/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

  • Global Influence
  • Great Return March (GRM)
  • Local Influence
  • Participation Shift
  • Posting Engagement

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