View Item 
      •   Home
      • 1. Schools
      • College of Engineering
      • School of Computer Science and Engineering (SCSE)
      • SCSE Student Reports (FYP/IA/PA/PI)
      • View Item
      •   Home
      • 1. Schools
      • College of Engineering
      • School of Computer Science and Engineering (SCSE)
      • SCSE Student Reports (FYP/IA/PA/PI)
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.
      Subject Lookup

      Browse

      All of DR-NTUCommunities & CollectionsTitlesAuthorsBy DateSubjectsThis CollectionTitlesAuthorsBy DateSubjects

      My Account

      Login

      Statistics

      Most Popular ItemsStatistics by Country/RegionMost Popular Authors

      About DR-NTU

      Dynamic clustering for social networks based on evolutionary computation

      Thumbnail
      FYP_Report_FarizCheangBinMohdKhairi_U1621884H.pdf (1.460Mb)
      Author
      Fariz Cheang Mohd Khairi
      Date of Issue
      2019
      School
      School of Computer Science and Engineering
      Abstract
      Social networks are all around us and these networks are dynamic and time-evolving in nature. However, most current research focuses solely on the a possibly complete social network or a subset of that network. Thus, there is a lack of research in the field of dynamic network clustering. Dynamic network clustering requires more attention since social networks are dynamic and any minor changes to its network alters the structure entirely. Currently, most research focuses on the clustering of static social networks where the network is either a small subset of a huge network structure or the entire network structure as a whole. Thus, since social networks change over time, it is more impactful to investigate the clustering problem in the context of dynamic social networks. The intention of this project is to incorporate evolutionary computation, which is a nature-inspired algorithm in the context of dynamic social network clustering. Several social networks, with recorded time stamps, will be used to depict a growing social network. The optimal clusters are determined with each given time stamp. Each time stamp will provide a fairly different cluster structure and a possibly different cluster count.
      Subject
      DRNTU::Engineering::Computer science and engineering::Theory of computation::Analysis of algorithms and problem complexity
      DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
      Type
      Final Year Project (FYP)
      Rights
      Nanyang Technological University
      Collections
      • SCSE Student Reports (FYP/IA/PA/PI)

      Show full item record

      Related items

      Showing items related by title, author, creator and subject.

      • Wearable technology for holistic entertainment experience 

        Zhu, Lingfei (2016)
        A solution for immersive holistic entertainment system, including the hardware feedback jacket, a Head Mount Device, and a PC game interface. It can interact with the user's head and hand movement or gestures, and provide ...
      • Markerless motion capture and analysis based on depth images 

        Bian, Zhenpeng (2015)
        The works presented in this thesis focus on depth images based human motion capture in realistic daily scenarios and two novel motion analysis frameworks on fall detection and human-computer interface based on motion capture ...
      • Creation of dynamic contact network through agent-based simulation 

        Leow, Guan Hao (2013)
        This project is a refinement of a previous Final Year Project, Agent-based Simulation – Canteen (SCE11-0028). It is a canteen environment simulation developed using Crowd Simulation for Military Operations (COSMOS), a ...

      NTU Library, Nanyang Avenue, Singapore 639798 © 2011 Nanyang Technological University. All rights reserved.
      DSpace software copyright © 2002-2015  DuraSpace
      Contact Us | Send Feedback
      Share |    
      Theme by 
      Atmire NV
       

       


      NTU Library, Nanyang Avenue, Singapore 639798 © 2011 Nanyang Technological University. All rights reserved.
      DSpace software copyright © 2002-2015  DuraSpace
      Contact Us | Send Feedback
      Share |    
      Theme by 
      Atmire NV
       

       

      DCSIMG