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Medical Image Fusion in Curvelet Domain Employing PCA and Maximum Selection Rule Read chapter Read first chapter

2016 | OriginalPaper | Chapter

A Comparative Analysis of Different Social Network Parameters Derived from Facebook Profiles

Authors : Paramita Dey, Sarbani Roy

Published in: Proceedings of the Second International Conference on Computer and Communication Technologies

Publisher: Springer India

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Abstract

In social network analysis (SNA), using online social media, it is possible to collect large open source information and to analyze those data for knowing the characteristics of these networks. The main objective of this work is to study online social network parameters commonly used to explain social structures. In this paper, we have extracted data from the three real-time facebook accounts using Netvizz application. Gephi, a open source free software, is used for analysis and evaluation of these network parameters. This analysis shows some well-known network parameters like calculating clustering coefficient (CC) of clusters, group formation, finding node degree distribution (NDD), identifying influential node etc., which can be used for further feature extraction.

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Metadata
Title
A Comparative Analysis of Different Social Network Parameters Derived from Facebook Profiles
Authors
Paramita Dey
Sarbani Roy
Copyright Year
2016
Publisher
Springer India
Book
Proceedings of the Second International Conference on Computer and Communication Technologies

Print ISBN: 978-81-322-2516-4

Electronic ISBN: 978-81-322-2517-1

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-81-322-2517-1_13