Online social network popularity evolution: An additive mixture model

Couronne Thomas, Stoica Alina, Beuscart Jean-Samuel

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

Abstract

Nowadays, users of online platforms can manage their own visibility and therefore popularity by mixing self-publishing activities and social networking. If one can develop strategies for building a reputation, his success is not determined only by his actions but also by the context in which he is involved. His popularity may evolve during time and this can be caused by multiple reasons. In this study we try to understand the reasons behind the evolution of MySpace artists' popularity. We use an additive mixture model in order to explain the variation of popularity between two snapshots of the same MySpace population. First we categorize the population into 5 clusters depending on their audience and authority in the first snapshot. Then we compute a model to assess the factors explaining the variation of popularity. We find that the evolution of the popularity, both in terms of audience and authority, is not explained by the same factors depending on the initial popularity.

Original languageEnglish
Title of host publicationProceedings - 2010 International Conference on Advances in Social Network Analysis and Mining, ASONAM 2010
Pages346-350
Number of pages5
DOIs
Publication statusPublished - 28 Oct 2010
Externally publishedYes
Event2010 International Conference on Advances in Social Network Analysis and Mining, ASONAM 2010 - Odense, Denmark
Duration: 9 Aug 201011 Aug 2010

Publication series

NameProceedings - 2010 International Conference on Advances in Social Network Analysis and Mining, ASONAM 2010

Conference

Conference2010 International Conference on Advances in Social Network Analysis and Mining, ASONAM 2010
Country/TerritoryDenmark
CityOdense
Period9/08/1011/08/10

Keywords

  • Mixture model
  • Myspace
  • Online popularity dynamics
  • Social networks

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