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Dynamic Network Motifs: Evolutionary Patterns of Substructures in Complex Networks

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Web Technologies and Applications (APWeb 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6612))

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Abstract

We propose an entirely new approach to understanding complex networks; called “dynamic network motifs (DNMs).” We define DNMs as statistically significant local evolutionary patterns of a network. We find such DNMs in the networks of two web services, Yahoo Answers and Flickr, and discuss the social dynamics of these services as indicated by their DNMs.

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Authors and Affiliations

  1. NTT Cyber Solutions Laboratories, NTT Corporation, 1-1 Hikari-no-oka, Yokosuka-shi, Kanagawa, 239-0847, Japan

    Yutaka Kabutoya, Kyosuke Nishida & Ko Fujimura

Authors
  1. Yutaka Kabutoya
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  2. Kyosuke Nishida
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  3. Ko Fujimura
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Editor information

Editors and Affiliations

  1. School of Information, Renmin University of China, 100872, Beijing, China

    Xiaoyong Du

  2. LFCS, School of Informatics, University of Edinburgh, 10 Crichton Street, EH8 9AB, Edinburgh, Scotland, UK

    Wenfei Fan

  3. School of Software, Tsinghua University, Room 819, Main Building, 100084, Beijing, China

    Jianmin Wang

  4. Computer School, Wuhan University, Luojiashan Road, 430072, Wuhan, Hubei, China

    Zhiyong Peng

  5. School of Information Technology and Electrical Engineering, The University of Queensland, QLD 4072, St. Lucia, Australia

    Mohamed A. Sharaf

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© 2011 Springer-Verlag Berlin Heidelberg

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Kabutoya, Y., Nishida, K., Fujimura, K. (2011). Dynamic Network Motifs: Evolutionary Patterns of Substructures in Complex Networks. In: Du, X., Fan, W., Wang, J., Peng, Z., Sharaf, M.A. (eds) Web Technologies and Applications. APWeb 2011. Lecture Notes in Computer Science, vol 6612. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20291-9_33

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  • DOI: https://doi.org/10.1007/978-3-642-20291-9_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20290-2

  • Online ISBN: 978-3-642-20291-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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