Nonextensive information entropy for stochastic networks

G. Wilk; Z. Wlodarczyk

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arXiv · cond-mat/0212056

Nonextensive information entropy for stochastic networks

G. Wilk·Z. Wlodarczyk

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Abstract

Nature is full of random networks of complex topology describing such apparently disparate systems as biological, economical or informatical ones. Their most characteristic feature is the apparent scale-free character of interconnections between nodes. Using an information theory approach, we show that maximalization of information entropy leads to a wide spectrum of possible types of distributions including, in the case of nonextensive information entropy, the power-like scale-free distributions characteristic of complex systems.

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G. Wilk, Z. Wlodarczyk. 2003-12-03. Nonextensive information entropy for stochastic networks. https://arxiv.org/abs/cond-mat/0212056

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