Facetnet: A framework for analyzing communities and their evolutions in dynamic networks

Yu Ru Lin, Hari Sundaram, Yun Chi, Shenghuo Zhu, Belle L. Tseng

Research output: Chapter in Book/Report/Conference proceedingConference contribution


We discover communities from social network data, and analyze the community evolution. These communities are inherent characteristics of human interaction in online social networks, as well as paper citation networks. Also, communities may evolve over time, due to changes to individuals' roles and social status in the network as well as changes to individuals' research interests. We present an innovative algorithm that deviates from the traditional two-step approach to analyze community evolutions. In the traditional approach, communities are first detected for each time slice, and then compared to determine correspondences. We argue that this approach is inappropriate in applications with noisy data. In this paper, we propose FacetNet for analyzing communities and their evolutions through a robust unified process. In this novel framework, communities not only generate evolutions, they also are regularized by the temporal smoothness of evolutions. As a result, this framework will discover communities that jointly maximize the fit to the observed data and the temporal evolution. Our approach relies on formulating the problem in terms of non-negative matrix factorization, where communities and their evolutions are factorized in a unified way. Then we develop an iterative algorithm, with proven low time complexity, which is guaranteed to converge to an optimal solution. We perform extensive experimental studies, on both synthetic datasets and real datasets, to demonstrate that our method discovers meaningful communities and provides additional insights not directly obtainable from traditional methods.

Original languageEnglish (US)
Title of host publicationProceeding of the 17th International Conference on World Wide Web 2008, WWW'08
Number of pages10
StatePublished - 2008
Externally publishedYes
Event17th International Conference on World Wide Web 2008, WWW'08 - Beijing, China
Duration: Apr 21 2008Apr 25 2008


Other17th International Conference on World Wide Web 2008, WWW'08


  • Community
  • Community net
  • Evolution
  • Evolution net
  • Non-negative matrix factorization
  • Soft membership

ASJC Scopus subject areas

  • Computer Networks and Communications

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