Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12015/2686
Title: Analyzing the Dynamics of Community Formation Using Brokering Activities
Authors: Trier, Matthias
Bobrik, Annette
Issue Date: 2007
Publisher: Springer London, Dordrecht Amsterdam
metadata.dc.relation.ispartof: Communities and Technologies 2007: Proceedings of the Third Communities and Technologies Conference
metadata.mci.reference.pages: 463-477
Series/Report no.: Communities and Technologies
Abstract: Understanding structures and processes of virtual communication networks can help to improve knowledge sharing and collaboration in a corporate setting. A widespread research method in that domain is Social Network Analysis. However, SNA only considers a summarized picture of the final structures of vir- tual community networks. It does not focus the understanding of the actors’ under- lying dynamic processes of structural evolvement. To overcome these shortcomings, we propose a methodology of dynamic network analysis based on small time windows and animations of network evolvement. Based on that method we introduce the measure Brokering Activity to identify persons which have actively contributed to community formation. In a study of corporate e-mail traffic, we compare this dynamic measure with current measures to show that it uncovers important networking agents, previously ignored. By plot- ting Brokering Activity over time, further insights about the dynamics of network- ing can be achieved.
metadata.dc.identifier.doi: 32.1007/978-1-84628-905-7
URI: https://hdl.handle.net/20.500.12015/2686
ISBN: 978-1-4471-6239-1
metadata.mci.conference.sessiontitle: Full Papers
metadata.mci.conference.location: Michigan State University, USA
Appears in Collections:C&T 2007: Proceedings of the Third Communities and Technologies Conference

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