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Reseach Article

Pattern Analysis in Dynamic Social Network

by Maneesha P Rajeev
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 117 - Number 23
Year of Publication: 2015
Authors: Maneesha P Rajeev
10.5120/20698-3609

Maneesha P Rajeev . Pattern Analysis in Dynamic Social Network. International Journal of Computer Applications. 117, 23 ( May 2015), 43-48. DOI=10.5120/20698-3609

@article{ 10.5120/20698-3609,
author = { Maneesha P Rajeev },
title = { Pattern Analysis in Dynamic Social Network },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 117 },
number = { 23 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 43-48 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume117/number23/20698-3609/ },
doi = { 10.5120/20698-3609 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:00:13.994235+05:30
%A Maneesha P Rajeev
%T Pattern Analysis in Dynamic Social Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 117
%N 23
%P 43-48
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Online social networking has become a very popular web application. Many popular online social networks such as twitter, Facebook, Linkedln, are extremely rich in content and typically contain a tremendous amount of data which can be utilized for pattern analysis. Most of the current efforts in analyzing social networks are done with respect to static structures. Static analysis is done in batch mode over particular snapshot, assuming that the social network changes slowly over time. However, analyzing the dynamic aspects of social networks could provide insight into structural and behavioral characteristics of network. Here, patterns of interaction between users are found based on their 'Like' characteristics.

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Index Terms

Computer Science
Information Sciences

Keywords

Pattern analysis Gephi Facebook Social Network Analysis.