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Discovery of communications patterns by the use of intelligent reasoning

Chapter


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Abstract


  • An agent-based model of communications traffic generated within a social network is

    described, which caters for various knowledge discovery techniques to be used in order to

    extract ‘interesting’ temporal patterns contained within anomalous data records. Attendant

    Java-based software — NetShow — is presented which enables analysis and display

    of static network configuration, links between network nodes, and correlations between

    the traffic passing through nominated nodes. In addition, display of network dynamics

    is facilitated via the incorporation of swarm techniques. Related issues of ‘similarity’,

    ‘familiarity’ and ‘contact lists’ are discussed within the context of Social Network Analysis

    and Link Mining. Finally, several suggestions are made for extending the work

    reported earlier in the chapter.

Publication Date


  • 2013

Citation


  • Fulcher, J., Zhang, M., Bai, Q. & Ren, F. (2013). Discovery of communications patterns by the use of intelligent reasoning. In K. Nakamatsu & L. Jain (Eds.), Handbook on Reasoning-Based Intelligent Systems (pp. 433-462). Singapore: World Science.

International Standard Book Number (isbn) 13


  • 9789814329477

Scopus Eid


  • 2-s2.0-84973099720

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1948&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/939

Book Title


  • Handbook on Reasoning-Based Intelligent Systems

Start Page


  • 433

End Page


  • 462

Place Of Publication


  • Singapore

Abstract


  • An agent-based model of communications traffic generated within a social network is

    described, which caters for various knowledge discovery techniques to be used in order to

    extract ‘interesting’ temporal patterns contained within anomalous data records. Attendant

    Java-based software — NetShow — is presented which enables analysis and display

    of static network configuration, links between network nodes, and correlations between

    the traffic passing through nominated nodes. In addition, display of network dynamics

    is facilitated via the incorporation of swarm techniques. Related issues of ‘similarity’,

    ‘familiarity’ and ‘contact lists’ are discussed within the context of Social Network Analysis

    and Link Mining. Finally, several suggestions are made for extending the work

    reported earlier in the chapter.

Publication Date


  • 2013

Citation


  • Fulcher, J., Zhang, M., Bai, Q. & Ren, F. (2013). Discovery of communications patterns by the use of intelligent reasoning. In K. Nakamatsu & L. Jain (Eds.), Handbook on Reasoning-Based Intelligent Systems (pp. 433-462). Singapore: World Science.

International Standard Book Number (isbn) 13


  • 9789814329477

Scopus Eid


  • 2-s2.0-84973099720

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1948&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/939

Book Title


  • Handbook on Reasoning-Based Intelligent Systems

Start Page


  • 433

End Page


  • 462

Place Of Publication


  • Singapore