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Studying the Complex Inter-relationships amongst various SNA Metrics and SEA Metrics using ISM Methodology

by Yogender Singh, Remica Aggarwal, Lakshay Aggarwal, V. K. Aggarwal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 176 - Number 30
Year of Publication: 2020
Authors: Yogender Singh, Remica Aggarwal, Lakshay Aggarwal, V. K. Aggarwal
10.5120/ijca2020920342

Yogender Singh, Remica Aggarwal, Lakshay Aggarwal, V. K. Aggarwal . Studying the Complex Inter-relationships amongst various SNA Metrics and SEA Metrics using ISM Methodology. International Journal of Computer Applications. 176, 30 ( Jun 2020), 28-35. DOI=10.5120/ijca2020920342

@article{ 10.5120/ijca2020920342,
author = { Yogender Singh, Remica Aggarwal, Lakshay Aggarwal, V. K. Aggarwal },
title = { Studying the Complex Inter-relationships amongst various SNA Metrics and SEA Metrics using ISM Methodology },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2020 },
volume = { 176 },
number = { 30 },
month = { Jun },
year = { 2020 },
issn = { 0975-8887 },
pages = { 28-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume176/number30/31394-2020920342/ },
doi = { 10.5120/ijca2020920342 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:43:53.875474+05:30
%A Yogender Singh
%A Remica Aggarwal
%A Lakshay Aggarwal
%A V. K. Aggarwal
%T Studying the Complex Inter-relationships amongst various SNA Metrics and SEA Metrics using ISM Methodology
%J International Journal of Computer Applications
%@ 0975-8887
%V 176
%N 30
%P 28-35
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Social Network Analysis is the process of investigating social structures through the use of networks and graph theory. It characterizes networked structures in terms of nodes which includes individual actors, people, or things within the network and the ties, edges, or links which include relationships or interactions that connect them. Examples include friendship and acquaintance networks , business networks , difficult working relationships, knowledge networks , diseases transmissions , sexual relationships etc. On the other hand, sentiment analysis helps in determining the emotional temperament of reviewers and writers and helps to identify, extract or portray intuitive information, such as opinions, which may be expressed in a certain given piece of text or topic. Present research work attempts to explore the various metrics associated with the success of social media network analysis as well as sentiment analysis and thereafter it tries to establish the inter-relationships between the various sentiment analysis metrics through ISM methodology.

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Index Terms

Computer Science
Information Sciences

Keywords

Social Media Metrics Social Network Analysis Sentiment Analysis ISM Methodology SNAM SeAM

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