Group-level analysis

In this chapter, we are going to present a number of techniques for detecting cohesive groups in networks such as cliques, clustering coefficient, triadic analysis, structural holes, brokerage, transitivity, hierarchical clustering, and blockmodels. All of which are based on how nodes in a network i...

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Main Authors: Al Taie, M. Z., Kadry, S.
Format: Book Section
Published: Springer London 2017
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Online Access:http://eprints.utm.my/id/eprint/74814/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032283668&doi=10.1007%2f978-3-319-53004-8_6&partnerID=40&md5=1fb0dec7f74886548b9ef6c4800028cd
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Institution: Universiti Teknologi Malaysia
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spelling my.utm.748142017-11-28T08:38:30Z http://eprints.utm.my/id/eprint/74814/ Group-level analysis Al Taie, M. Z. Kadry, S. QA75 Electronic computers. Computer science In this chapter, we are going to present a number of techniques for detecting cohesive groups in networks such as cliques, clustering coefficient, triadic analysis, structural holes, brokerage, transitivity, hierarchical clustering, and blockmodels. All of which are based on how nodes in a network interconnect. However, among all, cohesion and brokerage types of analysis are two major research topics in social network analysis. Springer London 2017 Book Section PeerReviewed Al Taie, M. Z. and Kadry, S. (2017) Group-level analysis. In: Advanced Information and Knowledge Processing. Springer London, pp. 113-146. ISBN 9783-31953-0031 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032283668&doi=10.1007%2f978-3-319-53004-8_6&partnerID=40&md5=1fb0dec7f74886548b9ef6c4800028cd
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Al Taie, M. Z.
Kadry, S.
Group-level analysis
description In this chapter, we are going to present a number of techniques for detecting cohesive groups in networks such as cliques, clustering coefficient, triadic analysis, structural holes, brokerage, transitivity, hierarchical clustering, and blockmodels. All of which are based on how nodes in a network interconnect. However, among all, cohesion and brokerage types of analysis are two major research topics in social network analysis.
format Book Section
author Al Taie, M. Z.
Kadry, S.
author_facet Al Taie, M. Z.
Kadry, S.
author_sort Al Taie, M. Z.
title Group-level analysis
title_short Group-level analysis
title_full Group-level analysis
title_fullStr Group-level analysis
title_full_unstemmed Group-level analysis
title_sort group-level analysis
publisher Springer London
publishDate 2017
url http://eprints.utm.my/id/eprint/74814/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032283668&doi=10.1007%2f978-3-319-53004-8_6&partnerID=40&md5=1fb0dec7f74886548b9ef6c4800028cd
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