Cluster size diversity, percolation, and complex systems

I. R. Tsang and I. J. Tsang
Phys. Rev. E 60, 2684 – Published 1 September 1999
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Abstract

Diversity of cluster size has been used as a measurement of complexity in several systems that generate a statistical distribution of clusters. Using Monte Carlo simulations, we present a statistical analysis of the cluster size diversity and the number of clusters generated on randomly occupied lattices for the Euclidean dimensions 1 to 6. A tuning effect for diversity of cluster size and critical probabilities associated with the maximum diversity and the maximum number of clusters are reported. The probability of maximum diversity is related to the percolation threshold and several scaling relations between the variables measured are reported. The statistics of cluster size diversity has important consequences in the statistical description of the Universe as a complex system.

  • Received 23 February 1999

DOI:https://doi.org/10.1103/PhysRevE.60.2684

©1999 American Physical Society

Authors & Affiliations

I. R. Tsang and I. J. Tsang

  • VisionLab–Department of Physics, University of Antwerp–RUCA, Groenenborgerlaan 171, Antwerp B-2020, Belgium

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Vol. 60, Iss. 3 — September 1999

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