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 language | English (US) |
|---|---|
| Pages (from-to) | 25-45 |
| Number of pages | 21 |
| Journal | Communication Monographs |
| Volume | 90 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2023 |
Keywords
- Instant messaging
- audience overlap
- exponential random graph models
- media industry
- mobile communication
- network analysis
ASJC Scopus subject areas
- Communication
- Language and Linguistics