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Reseach Article

A study on Social Influence Analysis in Social Networks

Published on January 2013 by Sujatha Yeruva, B. Sarojini Ilango, Y. Samatha Reddy
Amrita International Conference of Women in Computing - 2013
Foundation of Computer Science USA
AICWIC - Number 1
January 2013
Authors: Sujatha Yeruva, B. Sarojini Ilango, Y. Samatha Reddy
4341272d-0803-4031-9d89-6f3e48ff0d63

Sujatha Yeruva, B. Sarojini Ilango, Y. Samatha Reddy . A study on Social Influence Analysis in Social Networks. Amrita International Conference of Women in Computing - 2013. AICWIC, 1 (January 2013), 6-12.

@article{
author = { Sujatha Yeruva, B. Sarojini Ilango, Y. Samatha Reddy },
title = { A study on Social Influence Analysis in Social Networks },
journal = { Amrita International Conference of Women in Computing - 2013 },
issue_date = { January 2013 },
volume = { AICWIC },
number = { 1 },
month = { January },
year = { 2013 },
issn = 0975-8887,
pages = { 6-12 },
numpages = 7,
url = { /proceedings/aicwic/number1/9860-1302/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Amrita International Conference of Women in Computing - 2013
%A Sujatha Yeruva
%A B. Sarojini Ilango
%A Y. Samatha Reddy
%T A study on Social Influence Analysis in Social Networks
%J Amrita International Conference of Women in Computing - 2013
%@ 0975-8887
%V AICWIC
%N 1
%P 6-12
%D 2013
%I International Journal of Computer Applications
Abstract

The World Wide Web is one of the most inevitable notions in the life of mankind. In the most recent times of the world it is much more in advance gaining popularity due to its enormous amount of capability in making the life more impact-able. Online social networks are one of the areas of the World Wide Web where people congregate to share and be part of the various virtual communities. Online social networks are more fascinating to many of us now as they look out for similarly inclined people in order to share in reciprocity their findings, ideals, thoughts, opinions and views. Much like the physical human networks, cybernetics too has people who can influence or influenced by the other. Some are leaders who inevitably influence voluminous people, while others look out to get influenced or to induce inspiration from their leader. Identifying people who exercise maximum influence could be useful in targeting them for marketing, knowledge dissemination and other such purposes. In this paper, we present empirical analysis of levels of influence in the online social network. Findings of this paper may be of great help to elucidate in ascertaining leaders of a social network which in turn can be used to sight the leaders in real world. The leaders of a social network are traced by using Pareto front function. We believe that this is the first study to use Pareto front function to identify the leaders in online social networks. The empirical results prove that the number of leaders in each subsequent level monotonically increase while the number of their followers decreases.

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Index Terms

Computer Science
Information Sciences

Keywords

Social Network Measuring Influence Pareto Front Function