Special Issue "Computational and Statistical Physics Approaches for Complex Systems and Social Phenomena"

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Statistical Physics".

Deadline for manuscript submissions: 29 February 2020.

Special Issue Editor

Prof. Dr. Hung T. Diep
E-Mail Website
Guest Editor
Laboratoire de Physique Théorique et Modélisation Université de Cergy-Pontoise, CNRS, UMR 8089 2, avenue Adolphe Chauvin, 95302 Cergy-Pontoise Cedex, France
Interests: theoretical physics with focus on critical phenomena and phase transitions.
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Special Issue Information

Dear colleagues,

Since the 80s, methods in statistical physics have been used in various domains other than physics such as biology and neuroscience. They are also used nowadays in social sciences such as politics, economics, and sociology [1-5].  Computational methods, which have been widely developed in physics and mathematics thanks to the extremely rapid increase of computer capacity, contribute a great deal to the study of properties of the so-called complex systems [4-6]. Complex systems do not mean only systems with complicated interactions in physics; they also mean current interdisciplinary systems involving different components in scales and nature with poorly defined mutual interactions. The word “complex systems” is used as a broad term to describe problems that need interdisciplinary approaches. They include climate systems, the human brain, social conflicts, and economic issues. These interdisciplinary approaches are borrowed from statistical physics, information theory, nonlinear dynamics, sociology, economics, and biology. Novel phenomena such as self-organized entities, adaptation, feedback loops, spontaneous order, emergence, and nonlinearity are a few striking features. 

This Special Issue focuses on investigations of complex systems using methods from statistical physics and computer simulations. Statistical physics is found to be a very efficient tool to study the behavior of human individuals in society, provided appropriate interactions between them are different from those between particles [see for example discussions in Ref. 4 and 5].   In addition, the interpretation of physical parameters in terms of human behavior is also a challenge for the time to come. 

We invite contributions to this Special Issue from researchers who study complex systems with the use of statistical physics and computational methods such as Monte Carlo simulation. Contributions may be original papers or reviews.

Prof. Dr. Hung T. Diep
Guest Editor

References

  1. Galam, S. Sociophysics: A Physicist’s Modeling of Psycho-Political Phenomena; Springer Science & Business Media: New York, NY, USA, 2012.
  2. Barnes, T.J.; Wilson, M.W. Big data, social physics, and spatial analysis: The early years. Big Data Soc. 2014, 1–14.
  3. Schweitzer, F. Sociophysics. Phys. Today 2018, 71, 40.
  4. Diep, H.T.; Kaufman, M.; Kaufman, S. Dynamics of Two-Group Conflicts: A Statistical Model. Phys. A Stat. Mech. Appl. 2017, 469, 183–199.
  5. Kaufman, M.; Diep, H.T.; Kaufman, S. Sociophysics of Intractable Conflicts: Three-Group Dynamics. Phys. A Stat. Mech. Appl. 2019, 517, 175–187.
  6. Stauffer, D. Sociophysics simulations. Comput. Sci. Eng. 2003, 5, 71–75.

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Statistical physics approaches for complex system Computer simulations for complex systems
  • Computational methods for social sciences
  • Sociophysics
  • Nonlinearity and synchronization in complex systems
  • Self-organized systems
  • Complex systems in politics, economics, environment

Published Papers (4 papers)

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Research

Open AccessArticle
Asymmetric Contrarians in Opinion Dynamics
Entropy 2020, 22(1), 25; https://doi.org/10.3390/e22010025 - 24 Dec 2019
Abstract
Asymmetry in contrarian behavior is investigated within the Galam model of opinion dynamics using update groups of size 3 with two competing opinions A and B. Denoting x and y the respective proportions of A and B contrarians, four schemes of implementations are [...] Read more.
Asymmetry in contrarian behavior is investigated within the Galam model of opinion dynamics using update groups of size 3 with two competing opinions A and B. Denoting x and y the respective proportions of A and B contrarians, four schemes of implementations are studied. The first scheme activates contrarians after each series of updates with probabilities x and y for agents holding respectively opinion A and B. Second scheme activates contrarians within the update groups only against global majority with probability x when A is the majority and y when B is the majority. The third scheme considers in-group contrarians acting prior to the local majority update against both local majority and minority opinions. The last scheme activates in-group contrarians prior to the local majority update but only against the local majority. The main result is the loss of the fifty–fifty attractor produced by symmetric contrarians. Producing a bit less contrarians on its own side than the other side becomes the key to win a public debate, which in turn can guarantee an election victory. The associated phase diagram of opinion dynamics is found to exhibit a rich variety of counterintuitive results. Full article
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Open AccessArticle
Modeling the Disorder of Closed System by Multi-Agent Based Simulation
Entropy 2019, 21(11), 1105; https://doi.org/10.3390/e21111105 - 12 Nov 2019
Abstract
Mess (disorder)—there are many different meanings related to this problem. The explicit majority comes from the area of philosophical, social and medical sciences. In our paper, we try to present the engineering aspect of the concept of disorder. We propose a mathematical model [...] Read more.
Mess (disorder)—there are many different meanings related to this problem. The explicit majority comes from the area of philosophical, social and medical sciences. In our paper, we try to present the engineering aspect of the concept of disorder. We propose a mathematical model which describes the effects and consequences concerning the process of making the mess. We use Multi-Agent Modeling, where there are several independent agents with decision-making ability. Each agent has the ability to communicate and perceive for achieving its own aim. We use square grid n × n with objects which can be moved by agents to another places. The degree of disorder of the system is examined by the value of entropy. Using computer simulation, we investigate the time needed to find the desired thing in an environment in which agents (in real life, people) co-exist and they have different tendencies to tidiness. The cost of mess is counted as the number of attempts to access the object in the analyzed system and the time needed to locate the object. Full article
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Open AccessArticle
How Network Topologies Impact Project Alliance Performance: Evidence from the Movie Industry
Entropy 2019, 21(9), 859; https://doi.org/10.3390/e21090859 - 03 Sep 2019
Abstract
In many industries, partners are interconnected in project alliances that have limited lifespans and clearly-defined boundaries. The transparency of the movie industry provides a unique opportunity to study how alliance network topologies impact the performance of project alliances from the perspectives of social [...] Read more.
In many industries, partners are interconnected in project alliances that have limited lifespans and clearly-defined boundaries. The transparency of the movie industry provides a unique opportunity to study how alliance network topologies impact the performance of project alliances from the perspectives of social networks and organization theories. In this work, we compiled a massive movie dataset and constructed alliance networks for both movie production and distribution companies. Using the box office as the proxy for the financial performance of a movie project alliance, this research investigates how the two alliance networks impact the box office. We introduce the social network properties of degrees, centralities, and structural holes as alliance network variables into empirical regression models. The results show that alliance networks have a significant influence on the box office. The degrees of production companies and the structural holes of distribution companies are especially important to achieve success in the box office. The results add new evidence for the study of the movie economy and alliance networks. Meanwhile, this work also provides implications for the movie industry by revealing that it is essential to wisely choose partners that are appropriately embedded in alliance networks for the success of a movie project. Full article
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Open AccessArticle
Is Independence Necessary for a Discontinuous Phase Transition within the q-Voter Model?
Entropy 2019, 21(5), 521; https://doi.org/10.3390/e21050521 - 23 May 2019
Cited by 3
Abstract
We ask a question about the possibility of a discontinuous phase transition and the related social hysteresis within the q-voter model with anticonformity. Previously, it was claimed that within the q-voter model the social hysteresis can emerge only because of an [...] Read more.
We ask a question about the possibility of a discontinuous phase transition and the related social hysteresis within the q-voter model with anticonformity. Previously, it was claimed that within the q-voter model the social hysteresis can emerge only because of an independent behavior, and for the model with anticonformity only continuous phase transitions are possible. However, this claim was derived from the model, in which the size of the influence group needed for the conformity was the same as the size of the group needed for the anticonformity. Here, we abandon this assumption on the equality of two types of social response and introduce the generalized model, in which the size of the influence group needed for the conformity q c and the size of the influence group needed for the anticonformity q a are independent variables and in general q c q a . We investigate the model on the complete graph, similarly as it was done for the original q-voter model with anticonformity, and we show that such a generalized model displays both types of phase transitions depending on parameters q c and q a . Full article
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