Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12015/2674
Title: A Socio-Technical Approach for Topic Community Member Selection
Authors: de Moor, Aldo
Anjewierden, Anjo
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: 225-244
Series/Report no.: Communities and Technologies
Abstract: There is a multitude of very complex and interconnected political, socio-economic and environmental issues facing our globalizing society. To address these, topic communities of experts and stakeholders collaborating closely for a longer period of time are essential. These topic communities often need to be created ad hoc and urgently, however, while demanding a unique mix of experience and expertise of their members. Thus, the formation of such communities is far from trivial. Existing scientific and political structures do not suffice to provide the right experts and stakeholders in time. We present a socio-technical approach for topic community member selection, analyzing large corpora of blog posts to identify combinations of topics and bloggers relevant to the goals of the topic community. The technical basis for the approach is the tOKo tool for text analysis. The social aspect consists of a sequence of steps of human interpretation of the blog analysis results that tOKo produces. This socio-technical approach forms a ''pragmatic funnel'', producing a set of candidate topic community members likely to be relevant. We illustrate our approach with a realistic case.
metadata.dc.identifier.doi: 21.1007/978-1-84628-905-7
URI: https://hdl.handle.net/20.500.12015/2674
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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