Generalized Maximum Entropy Principle, Superstatistics and Problem of Networks Classification.

Autor:	Gadjiev, Bahruz
Předmět:	MAXIMUM entropy method CLASSIFICATION STATISTICS EXPONENTIAL functions DISTRIBUTION (Probability theory) INFORMATION networks
Zdroj:	AIP Conference Proceedings; 3/14/2011, Vol. 1305 Issue 1, p407-414, 8p
Abstrakt:	In the presented paper the results of superstatistics methods are given to study growing networks with exponential topology. Topologies of strongly inhomogeneous growing networks are determined. In the framework of maximum entropy method the probability distribution of real networks is derived and their classification is discussed. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
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