Extraction and Analysis of Publication Data of Conferences

Discovering critical nodes in social networks is crucial for comprehending the structural characteristics, connectivity and importance of its presence in the network. In this paper, we focus on detecting vital nodes which are part of multiple dense sub-graphs and play a major role in connecting other nodes thereby forming a global network. Here, we analyze the data of some major data mining conferences to explore if there exist some nodes which play a major role in submission and acceptance of paper in those conferences. We try to figure out the relationship between the Programme Committee members and the authors and their co-authors. We look for the top authors of these conferences. Furthermore, we mine the patterns in which some authors' and their co-authors' papers are being accepted. In order to understand the underlying dynamics of the network over time we examine how these patterns change periodically and with what factors. Lastly, we add to this a comparative study stating the affiliation of authors and examine if local influence of their ethnicity does exists with respect to continents where these conferences are taking place.