Title

Applying centrality measures on citation network

Degree

Master of Science in Computer Science

Faculty / School

Faculty of Computer Sciences (FCS)

Department

Department of Computer Science

Date of Award

Spring 2018

Advisor/Supervisor

Dr. Quratulain Rajput.

Committee Member 1

Dr. Quratulain Supervisor, Faculty of Computer Science, Institute of Business Administration (IBA), Karachi.

Project Type

MSCS Survey Report

Access Type

Restricted Access

Keywords

Structure-Citation Networks, Citation analysis.

Subjects

Computer Science

Abstract / Summary

Citation network is used to find the evolution of fields along with time and publications or most influential papers, topic modeling analysis, etc. There are many methods to analyze citation network, among them Social network analysis is one. In this paper, we have studied and applied different methods of Social Network Analysis to find micro-level network properties aiming to verify the small world phenomena within the citation network, along with this, centrality measures are applied to find the top 10most cited papers in a given timespan. From this centrality measures, this paper also identifies the trends of citations in the field of computer science.

Pages

1

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