Network Analysis: understanding nodes importance and community detection

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dc.contributor.advisorDr. Stephen Creagh
dc.contributor.authorRAKAN ABDULLAH ALREKAYAN
dc.date2021
dc.date.accessioned2022-06-04T19:31:01Z
dc.date.available2022-02-22 18:44:25
dc.date.available2022-06-04T19:31:01Z
dc.description.abstractIn this dissertation, the ideas of network analysis are applied to many network graphs. Many different measures for the importance of nodes in a network are presented. The identification of community structure within network graphs is an important part of this dissertation. Different definitions can present a community in a network. While these definitions vary somewhat, they often satisfy the condition that a node in a community is more likely to be connected to another node in the same community than a node in another community. Various methods that have been developed for discovering clusters in networks are discussed. The use of modularity to detect community structure provides a good outcome in general.
dc.format.extent102
dc.identifier.other110259
dc.identifier.urihttps://drepo.sdl.edu.sa/handle/20.500.14154/66070
dc.language.isoen
dc.publisherSaudi Digital Library
dc.titleNetwork Analysis: understanding nodes importance and community detection
dc.typeThesis
sdl.degree.departmentStatistics
sdl.degree.grantorUniversity of Nottingham
sdl.thesis.levelMaster
sdl.thesis.sourceSACM - United Kingdom
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