A dynamic network perspective on the evolution of the use of multiple mobile instant messaging apps

Yu Xu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Mobile instant messaging (MIM) services have emerged as digital platforms for closed and private modes of communication. The present study adopts a dynamic network approach to understanding how MIM apps are used in combination with each other. The changing patterns of cross-platform MIM use are reflected in the structural dynamics of the audience overlap network among 58 MIM apps over March 2019 to March 2021 period. The results of the separable temporal exponential random graph model indicated that the formation and persistence of audience overlap was explained by network self-organization and app reach, but not by app engagement. These effects were observed when app-level confounding factors were held constant.

Original languageEnglish (US)
JournalCommunication Monographs
DOIs
StateAccepted/In press - 2022

Keywords

  • audience overlap
  • exponential random graph models
  • Instant messaging
  • media industry
  • mobile communication
  • network analysis

ASJC Scopus subject areas

  • Language and Linguistics
  • Communication

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