Self-organized criticality and partial synchronization in an evolving network

A. Ponzi*, Y. Aizawa


研究成果: Article査読

8 被引用数 (Scopus)


We describe an evolving network type model of stock market, and present numerical results. Recent works on Self-organized criticality in pulse coupled relaxation oscillators have shown SOC to be related to frustrated attempts of the system to synchronize. Other works have shown the emergence of a self-organized control parameter which feeds back onto an order parameter, causing avalanches which separate periods of stasis. We define an all-to-all network of connected spins which also have an attached fitness. We find a self-organized fitness threshold given by the mean fitness, which separates a solid type state from a gaseous type state. We also find a self-organized control parameter given by the fitness deviation. Approach of this parameter to zero causes `avalanches' of partial synchronizations which occur on all sizes, separated by periods of stasis, and re-order the system.

ジャーナルChaos, Solitons and Fractals
出版ステータスPublished - 2000 6月 1

ASJC Scopus subject areas

  • 統計物理学および非線形物理学


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