Abstract
The paper applies social network analysis techniques to the task of analysis the dynamics and structure of the e-government research community. From the bibliographic data about papers published in the proceedings of this conference (International Conference on e-Government), we build a co-authorship network representing collaboration patterns among community members in the period from 2005 to 2009. The co-authorship network analysis helps us identify the most productive and central authors in EGR community, as well as delineate the community structures through finding its sub-groups and core parts. In this way, several sub-communities are revealed in sense of the thematic topics, affiliations, and geographical origins of authors.
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Erman, N., Todorovski, L. (2010). Analyzing the Structure of the EGOV Conference Community. In: Wimmer, M.A., Chappelet, JL., Janssen, M., Scholl, H.J. (eds) Electronic Government. EGOV 2010. Lecture Notes in Computer Science, vol 6228. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14799-9_7
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DOI: https://doi.org/10.1007/978-3-642-14799-9_7
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