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Gossip On Weighted Networks

Author

Listed:
  • MURSEL TASGIN

    (Department of Computer Engineering, Bogazici University, Istanbul, Turkey)

  • HALUK O. BINGOL

    (Department of Computer Engineering, Bogazici University, Istanbul, Turkey)

Abstract

In this work, we analyze gossip spreading on weighted networks. We try to define a new metric to classify weighted complex networks using our model. The model proposed here is based on the gossip spreading model introduced by Lindet al.on unweighted networks. The new metric is based on gossip spreading activity in the network, which is correlated with both topology and relative edge weights in the network. The model gives more insight about the weight distribution and correlation of topology with edge weights in a network. It also measures how suitable a weighted network is for gossip spreading. We analyze gossip spreading on real weighted networks of human interactions. Six co-occurrence and seven social pattern networks are investigated. Gossip propagation is found to be a good parameter to distinguish co-occurrence and social pattern networks. As a comparison some miscellaneous networks of comparable sizes and computer generated networks based on ER, BA and WS models are also investigated. They are found to be quite different from the human interaction networks.

Suggested Citation

  • Mursel Tasgin & Haluk O. Bingol, 2012. "Gossip On Weighted Networks," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 15(supp0), pages 1-18.
    • Handle: RePEc:wsi:acsxxx:v:15:y:2012:i:supp0:n:s0219525912500610
    DOI: 10.1142/S0219525912500610
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