Institutional Repository (UniKL IR)
Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/23257
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSuriana Ismail-
dc.contributor.authorRoslan Ismail-
dc.date.accessioned2019-12-04T07:09:44Z-
dc.date.available2019-12-04T07:09:44Z-
dc.date.issued2019-12-04-
dc.identifier.urihttp://ir.unikl.edu.my/jspui/handle/123456789/23257-
dc.description.abstractComplex 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 networken_US
dc.language.isoenen_US
dc.subjectcomplex network,en_US
dc.subjectcommunity detection,en_US
dc.subjectmeasurement,en_US
dc.subjectsustainable.en_US
dc.titleUtilizing Community Detection Approach for Sustainability Applicationen_US
dc.typeOtheren_US
dc.conference.nameInternational Conference on Engineering Technologies and Applied Sciences (ICETAS 2018)en_US
dc.conference.year2018en_US
Appears in Collections:Conference Paper

Files in This Item:
File Description SizeFormat 
Suriana Ismail - Utilizing Community Detection Approach for Sustainability Application.pdf295.42 kBAdobe PDFView/Open    Request a copy
Show simple item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.