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Node-level analysis

This chapter is concerned with building an understanding of how to do network analysis at the node (ego) level. It shows how to create social networks from scratch, how to import networks, how to find key players in social networks using centrality measures, and how to visualize networks. We will al...

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Bibliographic Details
Main Authors: Al Taie, M. Z., Kadry, S.
Format: Book Section
Published: Springer London 2017
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/74816/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032301944&doi=10.1007%2f978-3-319-53004-8_5&partnerID=40&md5=50ed03fd790e59516774bdb8487eb607
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spelling my.utm.748162017-11-28T08:38:31Z http://eprints.utm.my/id/eprint/74816/ Node-level analysis Al Taie, M. Z. Kadry, S. QA75 Electronic computers. Computer science This chapter is concerned with building an understanding of how to do network analysis at the node (ego) level. It shows how to create social networks from scratch, how to import networks, how to find key players in social networks using centrality measures, and how to visualize networks. We will also introduce the important algorithms that are used to gain insights from graphs. Springer London 2017 Book Section PeerReviewed Al Taie, M. Z. and Kadry, S. (2017) Node-level analysis. In: Advanced Information and Knowledge Processing. Springer London, pp. 79-111. ISBN 978-331953-0031 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032301944&doi=10.1007%2f978-3-319-53004-8_5&partnerID=40&md5=50ed03fd790e59516774bdb8487eb607
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.
Node-level analysis
description This chapter is concerned with building an understanding of how to do network analysis at the node (ego) level. It shows how to create social networks from scratch, how to import networks, how to find key players in social networks using centrality measures, and how to visualize networks. We will also introduce the important algorithms that are used to gain insights from graphs.
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 Node-level analysis
title_short Node-level analysis
title_full Node-level analysis
title_fullStr Node-level analysis
title_full_unstemmed Node-level analysis
title_sort node-level analysis
publisher Springer London
publishDate 2017
url http://eprints.utm.my/id/eprint/74816/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032301944&doi=10.1007%2f978-3-319-53004-8_5&partnerID=40&md5=50ed03fd790e59516774bdb8487eb607
_version_ 1643656945936105472
score 13.18916

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