FEATURE BASED COMMUNITY DETECTION BY EXTRACTING FACEBOOK PROFILE DETAILS

ICTACT Journal on Soft Computing ( Volume: 8 , Issue: 4 )

Abstract

vioft2nntf2t|tblJournal|Abstract_paper|0xf4ff965e270000005f22010001000100
The rise of social networks had marked the revolution and transformation of human relationships and the information age. Social networks, Facebook in specific, have more than a billion daily active users which means petabytes of data are generated every second and there are so many social interactions occurring simultaneously. Community detection revolves around the study of these social interactions and common interests to derive the most efficient method of communication to specialized groups. Considering a preferred set of features such as the posts, likes, education background and the location of users for an optimal data structure, the selection of significant users for community analysis is implemented with the unique approach to investment score and dynamic threshold allocations for the graph creation. The community detection process focuses on the analysis of cliques and map-overlay. The emphasis on the detection of overlapping communities enhances the analysis of community relationships.

Authors

Rajeswari Sridhar, Akshaya Kumar, S. Bagawathi Roshini, Ramya Kumar Sundaresan, Suganthini Chinnasamy
Anna University, Chennai, India

Keywords

Community Detection, Data Structure, Link Weights, Influence Metric, Cliques, Map Overlay

Published By
ICTACT
Published In
ICTACT Journal on Soft Computing
( Volume: 8 , Issue: 4 )
Date of Publication
July 2018
Pages
1706-1713

ICT Academy is an initiative of the Government of India in collaboration with the state Governments and Industries. ICT Academy is a not-for-profit society, the first of its kind pioneer venture under the Public-Private-Partnership (PPP) model

Contact Us

ICT Academy
Module No E6 -03, 6th floor Block - E
IIT Madras Research Park
Kanagam Road, Taramani,
Chennai 600 113,
Tamil Nadu, India

For Journal Subscription: journalsales@ictacademy.in

For further Queries and Assistance, write to us at: ictacademy.journal@ictacademy.in