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Time Based Modeling of Collaboration Social Networks

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Computational Collective Intelligence. Technologies and Applications (ICCCI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6922))

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Abstract

This article describes basic approaches for modeling of collaboration networks. We discuss typical ways of modeling collaboration networks and we also propose a new extension in weighting ties among event participants and the idea of aging of the ties among collaborators. Classical as well as proposed approaches to weighting of ties in collaboration networks are experimentally evaluated on real data set and compared with peoples’ opinions expressed in a targeted inquiry.

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References

  1. Newman, M.E.J.: Who is the best connected scientist? A study of scientific coauthorship networks. Complex Networks (2004)

    Google Scholar 

  2. Wasserman, S., Faust, K.: Social Network Analysis. Cambridge University Press, Cambridge (1994)

    Book  MATH  Google Scholar 

  3. Davis, A., Gardner, B.B., Gardner, M.R.: Deep South. Anthropological Study of Caste and Class.University of Chicago Press, A social (1941)

    Google Scholar 

  4. Watts, D.J., Strogats, S.H.: Collective dynamics of ’small-world’ networks. Nature (1998)

    Google Scholar 

  5. Newman, M.E.J.: Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality. The Amarical Physical Society 64 (2001)

    Google Scholar 

  6. DAK - Collaboration Network, data set of non-profit organization (2011), http://www.domcek.org

  7. Opsahl, T.: Projecting two-mode networks onto weighted one-mode networks (2009)

    Google Scholar 

  8. Tutoky, G., Paralič, J.: Modelovanie a analýza malej komunitnej sociálnej siete. In: 5th Workshop on Intelligent and Knowledge oriented Techniloties, Bratislava (2010)

    Google Scholar 

  9. Tutoky, G., Repka, M., Paralič, J.: Structural analysis of social groups in colla-boration network. In: Faculty of Electrical Engineering and Informatics of the Technical University of Košice, Košice (2011)

    Google Scholar 

  10. Hajra, K.B., Sen, P.: Aging in citation networks. Elsevier Science, Amsterdam (2008)

    Google Scholar 

  11. Zhu, H., Wang, X., Zhu, J.-Y.: The effect of aging on network structure. The American Physical Society (2003)

    Google Scholar 

  12. Ebbinghaus, H.: Memory: A Contribution to Experimental Psychology. Teachers College, New York (1885)

    Google Scholar 

  13. Savara, S.: The Ebbinghaus Forgetting Curve – And How To Overcome It, http://sidsavara.com/personal-productivity/the-ebbinghaus-curve-of-forgetting

  14. Kleinberg, J.M.: Authoritative Sources in a Hyperlinked Environment. In: ACM-SIAM Symposium on Discrete Algorithms (1998)

    Google Scholar 

  15. Batagelj, V., Mrvar, A.: Pajek - Program for Analysis and Visualization of Large Networks, Ljubljana (2009)

    Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Tutoky, G., Paralič, J. (2011). Time Based Modeling of Collaboration Social Networks. In: Jędrzejowicz, P., Nguyen, N.T., Hoang, K. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2011. Lecture Notes in Computer Science(), vol 6922. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23935-9_40

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  • DOI: https://doi.org/10.1007/978-3-642-23935-9_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23934-2

  • Online ISBN: 978-3-642-23935-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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