Praposal

Comparison of research community derived from co-author networks with cluster of related publication derived from citation graphs

Group : Srinath Perera and Chathura Hearth
Blog : http://cs-b659.blogspot.com/

In this project we plan to apply existing community identification algorithms to co-author networks and citation-graphs constructed form research publications of a particular domain. In identifying co-author networks, we consider two authors are connected if they have co-authored a publication. Thus this author community graph will consist of author nodes and the vertices of the graph will represent a value that represents the publications that they have co-authored. Secondly, in the citation graph of the publications of the domain in concern, the nodes represent the publications and the vertices will represent the citations.

Both the cluster extraction techniques will be based on the social network analysis techniques that have been developed by previous research. The identification of communities expected to result in following communities.

• Community of authors - Communities in the first graph have a likelihood of identifying research communities and further they will represent research groups that are collaborating in particular area of research.
• Cluster of related publications - Communities in the second graph will identify clusters of research papers belong to a one broad research area or a meta-research area within a broader research area.

Once the two graphs are constructed we can identify the authors from the clusters of relation publications and compare the relationships between two types of author groups. The final outcome of the project would be to observe the co-relation between the two different set of information extracted from academic publications from a particular domain and to identify meta research groups within a given research area, and the topics they are working on.

Task List.

• Decide and obtain the publication set on which the network analysis will be performed
• We have not pinpoint algorithms used to identify the communities in the each case, but for the co-author graphed we consider the approach presented by Ebel, Davidsen and Bornholdt [1] is a possible candidate and for co-citation graph we plan to pick one of the algorithms from refernaces [3], [4] or [5].
• We are thinking about using a focused topic like Web Services under computer Science and gather all related Papers.
• If time permitting we would provide a GUI to visualize the communites we identified in the analysis

References

[1] H Ebel, J Davidsen, S Bornholdt, “Dynamics of Social Networks”

[2] Yuan An,Jeannette Janssen,Evangelos E. Milios, “Characterizing and Mining the Citation Graph of the Computer Science Literature”

[3] Gary William Flake, Steve Lawrence, C. Lee Giles, Frans M. Coet, Self-Organization and Identification of Web Communities

[4] Filippo Radicchi, Claudio Castellano, et al “Defining and identifying communities in networks Community structure in social and biological networks“

[5] M. Girvan and M. E. J. Newman “Co-authorship networks and patterns of scientific collaboration”