Nonextensive information entropy for stochastic networks
arXiv:cond-mat/0212056
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.
Final version, to be published in Acta Phys. Polon. B35 (2004)
Cited by in corpus (11)
- Tsallis Fits to pT Spectra and Multiple Hard Scattering in pp Collisions at the LHC
- Consequences of temperature fluctuations in observables measured in high energy collisions
- Maximum Renyi entropy principle for systems with power--law Hamiltonian
- Unified model for network dynamics exhibiting nonextensive statistics
- Tsallis distribution with complex nonextensivity parameter q
- A comprehensive weighted evolving network model
- Fluctuation-dissipation relations for complex networks
- Quasi-power laws in multiparticle production processes
- Complex-valued information entropy measure for networks with directed links (digraphs). Application to citations by community agents with opposite opinions
- Temperature oscillations and sound waves in hadronic matter
- Sound waves in hadronic matter