期刊
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
卷 389, 期 23, 页码 5495-5502出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.physa.2010.08.011
关键词
Cluster dynamics; Networks; Wars; Conflicts
资金
- NATO [CBP.NR.NRCLG.982968]
- COST [MP0801]
- [P1-0044]
We introduce cluster dynamical models of conflicts in which only the largest cluster can be involved in an action. This mimics the situations in which an attack is planned by a central body, and the largest attack force is used. We study the model in its annealed random graph version, on a fixed network, and on a network evolving through the actions. The sizes of actions are distributed with a power-law tail, however, the exponent is non-universal and depends on the frequency of actions and sparseness of the available connections between units. Allowing the network reconstruction over time in a self-organized manner, e.g., by adding the links based on previous liaisons between units, we find that the power-law exponent depends on the evolution time of the network. Its lower limit is given by the universal value 5/2, derived analytically for the case of random fragmentation processes. In the temporal patterns behind the size of actions we find long-range correlations in the time series of the number of clusters and the non-trivial distribution of time that a unit waits between two actions. In the case of an evolving network the distribution develops a power-law tail, indicating that through repeated actions, the system develops an internal structure with a hierarchy of units. (C) 2010 Elsevier B.V. All rights reserved.
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