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Utilizing Community Detection Approach for Sustainability Application

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dc.contributor.author Suriana Ismail
dc.contributor.author Roslan Ismail
dc.date.accessioned 2019-12-04T07:09:44Z
dc.date.available 2019-12-04T07:09:44Z
dc.date.issued 2019-12-04
dc.identifier.uri http://ir.unikl.edu.my/jspui/handle/123456789/23257
dc.description.abstract Complex network contains a special topological features highlighting the existing interaction and connectivity that lies within the network. Understanding the hidden features requires an interpretation of network measurement associated. Important related issues covered in this work comprise the representation of the evolution of complex networks in terms correlations between some of the most-used measurements, and its relevant community detection application. It is hoped that the present suggestions will help the proper application and interpretation of measurements to optimize the hidden information lies within each network en_US
dc.language.iso en en_US
dc.subject complex network, en_US
dc.subject community detection, en_US
dc.subject measurement, en_US
dc.subject sustainable. en_US
dc.title Utilizing Community Detection Approach for Sustainability Application en_US
dc.type Other en_US
dc.conference.name International Conference on Engineering Technologies and Applied Sciences (ICETAS 2018) en_US
dc.conference.year 2018 en_US


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