NDLI: On the use of intrinsic time scale for dynamic community detection and visualization in social networks

Content Provider	IEEE Xplore Digital Library
Author	Albano, A. Guillaume, J.-L. Le Grand, B.
Copyright Year	2014
Description	Author affiliation: CRI, Univ. Paris 1 Pantheon-Sorbonne, Paris, France (Le Grand, B.) \|\| LIP6, Paris, France (Guillaume, J.-L.) \|\| LIP6, UPMC Univ. Paris 06, Paris, France (Albano, A.)
Abstract	The analysis of social networks is a challenging research area, in particular because of their dynamic features. In this paper, we study such evolving graphs through the evolution of their community structure. More specifically, we build on existing approaches for the identification of stable communities over time. This paper presents two contributions.We first propose a new way to compute such stable communities, using a different time scale, called intrinsic time. This intrinsic time is related to the dynamics of the graph (e.g, in terms of link appearance or disappearance) and independent from traditional (extrinsic) time units, like the second. We then show how visualization both at intrinsic and extrinsic time scales can help validating and interpreting the obtained communities. Our results are illustrated on a social network made of contacts among the participants of the 2006 edition of the Infocom conference.
Starting Page	1
Ending Page	11
File Size	3864444
Page Count	11
File Format	PDF
ISBN	9781479923939
DOI	10.1109/RCIS.2014.6861033
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-28
Publisher Place	Morocco
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization visualization temporal networks Heuristic algorithms Social network services Communities intrinsic time stable communitites Time measurement Partitioning algorithms Periodic structures
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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