Coevolutionary network approach to cultural dynamics controlled by intolerance.

Phys Rev E Stat Nonlin Soft Matter Phys

Institute for Biocomputation and Physics of Complex Systems, BIFI, University of Zaragoza, Zaragoza E-50018, Spain.

Published: December 2011

Starting from Axelrod's model of cultural dissemination, we introduce a rewiring probability, enabling agents to cut the links with their unfriendly neighbors if their cultural similarity is below a tolerance parameter. For low values of tolerance, rewiring promotes the convergence to a frozen monocultural state. However, intermediate tolerance values prevent rewiring once the network is fragmented, resulting in a multicultural society even for values of initial cultural diversity in which the original Axelrod model reaches globalization.

Download full-text PDF

Source
http://dx.doi.org/10.1103/PhysRevE.84.067101DOI Listing

Publication Analysis

Top Keywords

coevolutionary network
4
network approach
4
cultural
4
approach cultural
4
cultural dynamics
4
dynamics controlled
4
controlled intolerance
4
intolerance starting
4
starting axelrod's
4
axelrod's model
4

Similar Publications

Diversity of ectoparasitic bat flies (Diptera, Hippoboscoidea) in inter-Andean valleys: evaluating interactions in the largest inter-Andean basin of Colombia.

Zookeys

December 2024

Grupo de Investigación GEBIOME, Departamento de Ciencias Biológicas, Facultad de Ciencias Exactas y Naturales, Universidad de Caldas, Calle 65 No. 26-10, 170004, Manizales, Caldas, Colombia Universidad de Caldas Manizales Colombia.

Article Synopsis
  • Bat flies from the Streblidae and Nycteribiidae families have evolved specialized traits to feed on bats' blood and form specific associations with different bat species.
  • The Magdalena River basin in Colombia, which supports 98 bat species, reveals a diverse and modular interaction between bats and bat flies through field studies and literature review.
  • The study demonstrates medium specialization among bat flies, highlighting competitive relationships among species and suggesting that environmental conditions influence these dynamics in bat populations.
View Article and Find Full Text PDF

The Environmental Economic Power Dispatch (EEPD) problem, a widely studied bi-objective nonlinear optimization challenge in power systems, traditionally focuses on the economic dispatch of thermal generators without considering network security constraints. However, environmental sustainability necessitates reducing emissions and increasing the penetration of renewable energy sources (RES) into the electrical grid. The integration of high levels of RES, such as wind and solar PV, introduces stability issues due to their uncertain and intermittent nature.

View Article and Find Full Text PDF

The evolution of cooperation is a theme commonly studied in biology, psychology, sociology, and economics. Mechanisms that promote cooperative behavior in structured populations have been intensively studied. However, individuals' values, specifically, their opinions have been rarely taken into account so far.

View Article and Find Full Text PDF
Article Synopsis
  • - The paper discusses how large-scale electric vehicle (EV) charging can impact grid security and efficiency, proposing a new method for optimizing EV access to the distribution grid using an improved algorithm called PICEA-g.
  • - It outlines a model that treats EVs as flexible loads and incorporates a multi-objective optimization strategy that considers factors like grid load changes, user costs, environmental impact, travel flexibility, and charge status.
  • - Simulation tests demonstrate that the PICEA-g algorithm is particularly effective when managing over 50 EVs, leading to better load management, reduced microgrid management costs, and improved travel time flexibility for users while also addressing pollution control.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!