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. © 2010 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Erman, N., & Todorovski, L. (2010). Analyzing the structure of the EGOV conference community. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6228 LNCS, pp. 73–84). https://doi.org/10.1007/978-3-642-14799-9_7
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