Detection of Social Communities in Large Social Networks: A Survey

PhD Qualifying Examination


Title: "Detection of Social Communities in Large Social Networks: A 
Survey"

by

Mr. Konstantinos GIANNAKOPOULOS


Abstract:

This is a survey of proposed models and techniques in the field of community 
detection in social networks. This survey does not focus on approaches that 
merely focus on the structure of a social network, i.e. the linkage 
connectivity of the graph representation of a social network. We believe that a 
social media community should also be related to the content that users 
exchange. This is why we examine approaches and models that combine linkage 
connectivity of the graph, with actual communication, i.e. messages that users 
exchange and node attrributes. Also, we consider factors like communication 
frequency, existence of ovelapping communities, and community membership to 
multiple topics of interest. We describe the relevant models in detail and we 
list algorithms and metrics they refer to. Finally, we compare the approached 
with each other and we evaluate them according a list of our own criteria.


Date:			Friday, 13 March 2015

Time:                  	5:00pm - 7:00pm

Venue:                  Room 3494
                         Lifts 25/26

Committee Members:	Dr. Lei Chen (Supervisor)
 			Dr. Ke Yi (Chairperson)
 			Dr. Pan Hui
 			Dr. Raymond Wong


**** ALL are Welcome ****