Scalable analysis for large social networks: The data-aware mean-field approach

Julie M. Birkholz, Rena Bakhshi, Ravindra Harige, Maarten van Steen, Peter Groenewegen

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

2 Citations (Scopus)


Studies on social networks have proved that endogenous and exogenous factors influence dynamics. Two streams of modeling exist on explaining the dynamics of social networks: 1) models predicting links through network properties, and 2) models considering the effects of social attributes. In this interdisciplinary study we work to overcome a number of computational limitations within these current models. We employ a mean-field model which allows for the construction of a population-specific model informed from empirical research for predicting links from both network and social properties in large social networks.. The model is tested on a population of conference coauthorship behavior, considering a number of parameters from available Web data. We address how large social networks can be modeled preserving both network and social parameters. We prove that the mean-field model, using a data-aware approach, allows us to overcome computational burdens and thus scalability issues in modeling large social networks in terms of both network and social parameters. Additionally, we confirm that large social networks evolve through both network and social-selection decisions; asserting that the dynamics of networks cannot singly be studied from a single perspective but must consider effects of social parameters.

Original languageEnglish
Title of host publicationSocial Informatics
Subtitle of host publication4th International Conference, SocInfo 2012, Lausanne, Switzerland, December 5-7, 2012. Proceedings
EditorsKarl Aberer, Andreas Flache, Wander Jager, Ling Liu, Jie Tang, Christophe Guéret
Place of PublicationBerlin, Heidelberg
Number of pages14
ISBN (Electronic)978-3-642-35386-4
ISBN (Print)978-3-642-35385-7
Publication statusPublished - 1 Jan 2012
Externally publishedYes
Event4th International Conference on Social Informatics, SocInfo 2012 - Lausanne, Switzerland
Duration: 5 Dec 20127 Dec 2012
Conference number: 4

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference4th International Conference on Social Informatics, SocInfo 2012
Abbreviated titleSocInfo 2012
Internet address


  • Social network
  • Network dynamic
  • Link prediction
  • Large social network
  • Coauthorship network


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