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Investigating Attachment Behavior of Nodes during Evolution of a Complex Social Network:

A Case of a Scientific Collaboration Network

  • Conference paper
Knowlege-Based and Intelligent Information and Engineering Systems (KES 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6882))

Abstract

Complex networks (systems) as a phenomenon can be observed by a wide range of networks in nature and society. There is a growing interest to study complex networks from the evolutionary and behavior perspective. Studies on evolving dynamical networks have been resulted in a class of models to explain their evolving dynamic behavior that indicate a new node attaches preferentially to some old nodes in the network based on their number of links. In this study, we aim to explore if there are any other characteristics of the old nodes which affect on the preferential attachment of new nodes. We explore the evolution ofa co-authorship network over time and find that while the association between number of new attached nodes to an existing node and all its main centrality measures (i.e., degree, closeness and betweenness) is almost positive and significant but betweenness centrality correlation coefficient is always higher and increasing as network evolved over time. Identifying the attachment behavior of nodes in complex networks (e.g., traders, disease propagation and emergency management) help policy and decision makers to focus on the nodes (actors) in order to control the resources distribution, information dissemination, disease propagation and so on due to type of the network.

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Author information

Authors and Affiliations

  1. Centre for Complex Systems Research, Faculty of Engineering and IT, University of Sydney, Sydney, NSW, 2006, Australia

    Alireza Abbasi & Liaquat Hossain

Authors
  1. Alireza Abbasi
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  2. Liaquat Hossain
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Editor information

Editors and Affiliations

  1. Institute of Integrated Sensor Systems, University of Kaiserslautern, Erwin-Schroedinger-str. 12, 67663, Kaiserslautern, Germany

    Andreas König

  2. Knowledge-Based Systems Group, Department of Computer Science, University of Kaiserslautern, P.O. Box 3049, 67653, Kaiserslautern, Germany

    Andreas Dengel

  3. School of Business, University of Applied Sciences Northwestern Switzerland, Riggenbachstr. 16, 4600, Olten, Switzerland

    Knut Hinkelmann

  4. Graduate School of Engineering, Osaka Prefecture University, 1-1 Gakuen-cho, 599-8531, Sakai,, Osaka, Japan

    Koichi Kise

  5. KES International, P.O. Box 2115, BN43 9AF, Shoreham-by-sea, UK

    Robert J. Howlett

  6. University of South Australia, Adelaide, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2011 Springer-Verlag Berlin Heidelberg

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Abbasi, A., Hossain, L. (2011). Investigating Attachment Behavior of Nodes during Evolution of a Complex Social Network:. In: König, A., Dengel, A., Hinkelmann, K., Kise, K., Howlett, R.J., Jain, L.C. (eds) Knowlege-Based and Intelligent Information and Engineering Systems. KES 2011. Lecture Notes in Computer Science(), vol 6882. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23863-5_26

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  • DOI: https://doi.org/10.1007/978-3-642-23863-5_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23862-8

  • Online ISBN: 978-3-642-23863-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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