Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12015/2686
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dc.contributor.authorTrier, Matthias
dc.contributor.authorBobrik, Annette
dc.date.accessioned2017-04-15T12:05:10Z-
dc.date.available2017-04-15T12:05:10Z-
dc.date.issued2007
dc.identifier.isbn978-1-4471-6239-1
dc.identifier.urihttps://hdl.handle.net/20.500.12015/2686-
dc.description.abstractUnderstanding 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.
dc.language.isoen
dc.publisherSpringer London, Dordrecht Amsterdam
dc.relation.ispartofCommunities and Technologies 2007: Proceedings of the Third Communities and Technologies Conference
dc.relation.ispartofseriesCommunities and Technologies
dc.titleAnalyzing the Dynamics of Community Formation Using Brokering Activities
dc.typeText
mci.conference.locationMichigan State University, USA
mci.conference.sessiontitleFull Papers
mci.reference.pages463-477
dc.identifier.doi32.1007/978-1-84628-905-7
Appears in Collections:C&T 2007: Proceedings of the Third Communities and Technologies Conference

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