Analysing eParticipation research using social networks.

Abstract

The contribution of this thesis is to examine the eParticipation research field using social networks analysis techniques with the aim of presenting an understanding of research collaboration of this scientific community. Using eGovernment Research Library (eGRL) as source, I separated the publications which were relevant with eParticipation field. Then, I constructed the co-authorship network and calculated four centrality measures (degree, betweenness, closeness, eigenvector) in order to point out the most influential researchers of the field.