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Searching for a new probability distribution for modeling non-scale-free heavy-tailed real-world networks
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  • TANUJIT CHAKRABORTY ,
  • Swarup Chattopadhyay ,
  • Suchismita Das ,
  • Uttam Kumar ,
  • Senthilnath Jayavelu
TANUJIT CHAKRABORTY
International Institute of Information Technology

Corresponding Author:[email protected]

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Swarup Chattopadhyay
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Suchismita Das
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Uttam Kumar
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Senthilnath Jayavelu
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Abstract

In this study, we consider large-scale network data sets from different disciplines, namely social networks, collaboration networks, web graphs, citation networks, biological networks, product co-purchasing networks, temporal networks, communication networks, ground-truth networks, and brain networks. We study several individual data sets from each discipline. These data sets are publicly available at http://snap.stanford.edu/data/index.html Usage of the proposed probability models for the paper “Searching for a new probability distribution for modeling non-scale-free heavy-tailed real-world networks” is available at https://github.com/tanujit123/nonscalefree