Analyzing the Dynamics of Community Formation Using Brokering Activities
| dc.contributor.author | Trier, Matthias | |
| dc.contributor.author | Bobrik, Annette | |
| dc.date.accessioned | 2017-04-15T12:05:10Z | |
| dc.date.available | 2017-04-15T12:05:10Z | |
| dc.date.issued | 2007 | |
| dc.description.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. | |
| dc.identifier.doi | 32.1007/978-1-84628-905-7 | |
| dc.identifier.isbn | 978-1-4471-6239-1 | |
| dc.language.iso | en | |
| dc.publisher | Springer London, Dordrecht Amsterdam | |
| dc.relation.ispartof | Communities and Technologies 2007: Proceedings of the Third Communities and Technologies Conference | |
| dc.relation.ispartofseries | Communities and Technologies | |
| dc.title | Analyzing the Dynamics of Community Formation Using Brokering Activities | |
| dc.type | Text | |
| gi.citation.endPage | 477 | |
| gi.citation.startPage | 463 | |
| gi.conference.location | Michigan State University, USA | |
| gi.conference.sessiontitle | Full Papers |