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Reseach Article

Investigating Social Network as Complex Network and Dynamics of User Activities

by Hradesh Kumar, Sanjeev Kumar Yadav
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 125 - Number 7
Year of Publication: 2015
Authors: Hradesh Kumar, Sanjeev Kumar Yadav
10.5120/ijca2015905952

Hradesh Kumar, Sanjeev Kumar Yadav . Investigating Social Network as Complex Network and Dynamics of User Activities. International Journal of Computer Applications. 125, 7 ( September 2015), 13-18. DOI=10.5120/ijca2015905952

@article{ 10.5120/ijca2015905952,
author = { Hradesh Kumar, Sanjeev Kumar Yadav },
title = { Investigating Social Network as Complex Network and Dynamics of User Activities },
journal = { International Journal of Computer Applications },
issue_date = { September 2015 },
volume = { 125 },
number = { 7 },
month = { September },
year = { 2015 },
issn = { 0975-8887 },
pages = { 13-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume125/number7/22443-2015905952/ },
doi = { 10.5120/ijca2015905952 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:15:34.457605+05:30
%A Hradesh Kumar
%A Sanjeev Kumar Yadav
%T Investigating Social Network as Complex Network and Dynamics of User Activities
%J International Journal of Computer Applications
%@ 0975-8887
%V 125
%N 7
%P 13-18
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In modern era activities of users on social network applications are growing exponentially. To understand the user behavior on online social networks, determining the parameters of activities, identifying structure of inter-relationship and exploration of dynamics are major issues of the paper. Randomness of information flow in social network is inheriting property and user response varies with time and space so these allow us to select appropriate stochastic modeling technique. Most of the events happened at the social network are random and simultaneously i.e. which post/message will be shared/visible on wall of whom and when. Random graphs and dynamic stochastic model i.e. epidemic model is observed to be very close for analyzing user activities and mechanism of information spreading.

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Index Terms

Computer Science
Information Sciences

Keywords

Complex Network Random graph Erdos-Renyi (ER) model Social network