Title :
Online Social Network Popularity Evolution: An Additive Mixture Model
Author :
Couronne, T. ; Stoica, Atanasia ; Beuscart, Jean-Samuel
Author_Institution :
Orange Labs., Paris, France
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.
Keywords :
publishing; social networking (online); MySpace artists; additive mixture model; online social network popularity evolution:; self publishing activities; Additives; Communities; Computational modeling; Construction industry; Mathematical model; MySpace; mixture model; myspace; online popularity dynamics; social networks;
Conference_Titel :
Advances in Social Networks Analysis and Mining (ASONAM), 2010 International Conference on
Conference_Location :
Odense
Print_ISBN :
978-1-4244-7787-6
Electronic_ISBN :
978-0-7695-4138-9
DOI :
10.1109/ASONAM.2010.48