Self-organizing Complex Networks: individual versus global rules

PDF Version Also Available for Download.

Description

This article introduces a form of Self-organized Criticality (SOC) inspired by the new generation of evolutionary game theory, which ranges from physiology to sociology.

Physical Description

11 p.

Creation Information

Mahmoodi, Korosh; West, Bruce J. & Grigolini, Paolo June 7, 2017.

Context

This article is part of the collection entitled: UNT Scholarly Works and was provided by UNT College of Arts and Sciences to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 20 times . More information about this article can be viewed below.

Who

People and organizations associated with either the creation of this article or its content.

Authors

Publisher

Provided By

UNT College of Arts and Sciences

The UNT College of Arts and Sciences educates students in traditional liberal arts, performing arts, sciences, professional, and technical academic programs. In addition to its departments, the college includes academic centers, institutes, programs, and offices providing diverse courses of study.

Contact Us

What

Descriptive information to help identify this article. Follow the links below to find similar items on the Digital Library.

Degree Information

Description

This article introduces a form of Self-organized Criticality (SOC) inspired by the new generation of evolutionary game theory, which ranges from physiology to sociology.

Physical Description

11 p.

Notes

Abstract: We introduce a form of Self-Organized Criticality (SOC) inspired by the new generation of evolutionary game theory, which ranges from physiology to sociology. The single individuals are the nodes of a composite network, equivalent to two interacting subnetworks, one leading to strategy choicesmade by the individuals under the influence of the choices of their nearest neighbors and the other measuring the Prisoner’s Dilemma Game payoffs of these choices. The interaction between the two networks is established by making the imitation strength K increase or decrease according to whether the last two payoffs increase or decrease upon increasing or decreasing K. Although each of these imitation strengths is selected selfishly, and independently of the others as well, the social system spontaneously evolves toward the state of cooperation. Criticality is signaled by temporal complexity, namely the occurrence of non-Poisson renewal events, the time intervals between two consecutive crucial events being given by an inverse power law index μ = 1.3 rather than by avalanches with an inverse power law distribution as in the original form of SOC. This new phenomenon is herein labeled self-organized temporal criticality (SOTC). We compare this bottom-up self-organization process to the adoption of a global choice rule based on assigning to all the units the same value K, with the time evolution of common K being determined by consciousness of the social benefit, a top-down process implying the action of a leader. In this case self-organization is impeded by large intensity fluctuations and the global social benefit turns out to be much weaker.We conclude that the SOTCmodel fits the requests of amanifesto recently proposed by a number of European social scientists.

Source

  • Frontiers in Physiology, 2017. Lausanne, Switzerland: Frontiers Research Foundation

Language

Item Type

Identifier

Unique identifying numbers for this article in the Digital Library or other systems.

Publication Information

  • Publication Title: Frontiers in Physiology
  • Volume: 8
  • Pages: 1-11
  • Peer Reviewed: Yes

Collections

This article is part of the following collection of related materials.

UNT Scholarly Works

Materials from the UNT community's research, creative, and scholarly activities and UNT's Open Access Repository. Access to some items in this collection may be restricted.

What responsibilities do I have when using this article?

When

Dates and time periods associated with this article.

Creation Date

  • June 7, 2017

Added to The UNT Digital Library

  • July 31, 2017, 8:25 p.m.

Usage Statistics

When was this article last used?

Yesterday: 0
Past 30 days: 1
Total Uses: 20

Interact With This Article

Here are some suggestions for what to do next.

Start Reading

PDF Version Also Available for Download.

International Image Interoperability Framework

IIF Logo

We support the IIIF Presentation API

Mahmoodi, Korosh; West, Bruce J. & Grigolini, Paolo. Self-organizing Complex Networks: individual versus global rules, article, June 7, 2017; Lausanne, Switzlerand. (digital.library.unt.edu/ark:/67531/metadc987454/: accessed October 18, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Arts and Sciences.