Journal
Article title
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Abstracts
The model of community isolation was extended to the case when individuals are randomly placed at the nodes of hierarchical modular networks. It was shown that the average number of blocked nodes (individuals) increases in time as a power function, with the exponent depending on the network parameters. The distribution of the time when the first isolated cluster appears is unimodal, non-gaussian. The developed analytical approach is in a good agreement with the simulation data.
Discipline
- 89.75.-k: Complex systems(for complex chemical systems, see 82.40.Qt; for biological complexity, see 87.18.-h)
- 89.75.Hc: Networks and genealogical trees
- 02.50.-r: Probability theory, stochastic processes, and statistics(see also section 05 Statistical physics, thermodynamics, and nonlinear dynamical systems)
- 89.75.Da: Systems obeying scaling laws
- 89.75.Fb: Structures and organization in complex systems
Journal
Year
Volume
Issue
Pages
B-67-B-71
Physical description
Dates
published
2012-02
Contributors
author
- Faculty of Physics, Center of Excellence for Complex Systems Research, Warsaw University of Technology, Koszykowa 75, PL-00-662 Warsaw, Poland
author
- Faculty of Physics, Center of Excellence for Complex Systems Research, Warsaw University of Technology, Koszykowa 75, PL-00-662 Warsaw, Poland
References
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- [2] S. Komosa, J.A. Hołyst, Ising model at hierarchical network, to be published
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Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.bwnjournal-article-appv121n2ba121z2bp13kz