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Tracking Group Evolution in Social Networks

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Social Informatics (SocInfo 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6984))

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Abstract

Easy access and vast amount of data, especially from long period of time, allows to divide social network into timeframes and create temporal social network. Such network enables to analyse its dynamics. One aspect of the dynamics is analysis of social communities evolution, i.e., how particular group changes over time. To do so, the complete group evolution history is needed. That is why in this paper the new method for group evolution extraction called GED is presented.

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References

  1. Bródka, P., Saganowski, S., Kazienko, P.: Group Evolution Discovery in Social Networks. In: ASONAM 2011, Taiwan, July 25-27. IEEE Computer Society, Los Alamitos (2011)

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Author information

Authors and Affiliations

  1. Wrocław University of Technology, Wyb.Wyspiańskiego 27, 50-370, Wrocław, Poland

    Piotr Bródka, Stanisław Saganowski & Przemysław Kazienko

  2. Research Engineering Center Sp. z o.o., ul. Strzegomska 46B, 53-611, Wrocław, Poland

    Piotr Bródka & Przemysław Kazienko

Authors
  1. Piotr Bródka
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  2. Stanisław Saganowski
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  3. Przemysław Kazienko
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Editor information

Editors and Affiliations

  1. School of Computer Engineering, Nanyang Technological University (NTU), Block N4, Nanyang Avenue, 639798, Singapore

    Anwitaman Datta

  2. University of Massachusetts Amherst, Thompson Hall, 200 Hicks Way, 01003, Amherst, MA, USA

    Stuart Shulman

  3. Singapore Management University, Singapore

    Baihua Zheng

  4. Graduate Institute of Networking and Multimedia, Department of Computer Science and Information Engineering, National Taiwan University,, Roosevelt Rd., 10617, Taipei, Taiwan

    Shou-De Lin

  5. School of Computer Engineering, Nanyang Technological University, Block N4, Nanyang Avenue, 639798, Singapore

    Aixin Sun

  6. School of Information Systems, Singapore Management University, 80 Stamford Rd, 178902, Singapore

    Ee-Peng Lim

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© 2011 Springer-Verlag Berlin Heidelberg

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Bródka, P., Saganowski, S., Kazienko, P. (2011). Tracking Group Evolution in Social Networks. In: Datta, A., Shulman, S., Zheng, B., Lin, SD., Sun, A., Lim, EP. (eds) Social Informatics. SocInfo 2011. Lecture Notes in Computer Science, vol 6984. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24704-0_38

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  • DOI: https://doi.org/10.1007/978-3-642-24704-0_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24703-3

  • Online ISBN: 978-3-642-24704-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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