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Proceedings Paper

Community dynamics in social networks
Author(s): Gergely Palla; Albert-László Barabási; Tamás Vicsek
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Paper Abstract

We study the statistical properties of community dynamics in large social networks, where the evolving communities are obtained from subsequent snapshots of the modular structure. Such cohesive groups of people can grow by recruiting new members, or contract by loosing members; two (or more) groups may merge into a single community, while a large enough social group can split into several smaller ones; new communities are born and old ones may disappear. We find significant difference between the behaviour of smaller collaborative or friendship circles and larger communities, eg. institutions. Social groups containing only a few members persist longer on average when the fluctuations of the members is small. In contrast, we find that the condition for stability for large communities is continuous changes in their membership, allowing for the possibility that after some time practically all members are exchanged.

Paper Details

Date Published: 15 June 2007
PDF: 12 pages
Proc. SPIE 6601, Noise and Stochastics in Complex Systems and Finance, 660106 (15 June 2007); doi: 10.1117/12.724517
Show Author Affiliations
Gergely Palla, Eötvös Univ. (Hungary)
Albert-László Barabási, Univ. of Notre Dame (United States)
Tamás Vicsek, Eötvös Univ. (Hungary)


Published in SPIE Proceedings Vol. 6601:
Noise and Stochastics in Complex Systems and Finance
János Kertész; Stefan Bornholdt; Rosario N. Mantegna, Editor(s)

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