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Journal articles on the topic 'Sociophysic'

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Author: Grafiati
Published: 10 March 2023

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1

Schweitzer, Frank. "Sociophysics." Physics Today 71, no. 2 (February 2018): 40–46. http://dx.doi.org/10.1063/pt.3.3845.

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2

Stauffer, D. "Sociophysics simulations." Computing in Science & Engineering 5, no. 3 (May 2003): 71–75. http://dx.doi.org/10.1109/mcise.2003.1196310.

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3

TAKEMURA, Kazuhisa. "Psychophysics and Sociophysics." Journal of Japan Society of Kansei Engineering 17, no. 3 (September 30, 2019): 122–29. http://dx.doi.org/10.5057/kansei.17.3_122.

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4

AYDINER, EKREM. "THE TIME EVALUATION OF RESISTANCE PROBABILITY OF A CLOSED COMMUNITY AGAINST OCCUPATION IN A SZNAJD-LIKE MODEL WITH SYNCHRONOUS UPDATING: A NUMERICAL STUDY." International Journal of Modern Physics C 15, no. 09 (November 2004): 1291–99. http://dx.doi.org/10.1142/s0129183104006716.

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In the present paper, we have briefly reviewed Sznajd's sociophysics model and its variants, and we also have proposed a simple Sznajd-like sociophysics model based on Ising spin system to explain the time evaluation of resistance probability of a closed community against occupation. Using a numerical method, we have shown that the time evaluation of resistance probability of community has a nonexponential character, which decays as stretched exponential, independent of the number of soldiers in one-dimensional model. Furthermore, it has been astonishingly found that our simple sociophysics model belongs to the same universality class of random walk process on the trapping space.
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5

MAKSIMOVA, Natalia. "ANALYSIS OF THE FINANCIAL SUSTAINABILITY OF THE ENTERPRISE USING POTENTIALS." Vestnik BIST (Bashkir Institute of Social Technologies) 137 (December 28, 2020): 16–26. http://dx.doi.org/10.47598/2078-9025-2020-4-49-16-26.

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The article describes the elements of the sociophysical approach in relation to the study of processes at an enterprise that produces aircraft engines. The interpretation of the sociophysical approach of financial sustainability for the enterprise is given. It is shown that the use of standard methods of financial and economic analysis of an enterprise in the cases of long-life cycle is limited and leads to contradictory conclusions. The comparison of the results of sociophysical modeling with the results of modeling obtained using the well-known methods of financial and economic analysis of the enterprise have be done. The concept of the sociophysical function and necessary formulas are given. The formulation of the problem of forming a toolkit for sociophysical assessment of sustainability of an enterprise using sociophysical potentials is formulated. Models of the dynamics of the potentials of the sources of financing the assets of the enterprise, the financial sustainability are represented.
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6

Kaufman, Sanda, Miron Kaufman, and Hung T. Diep. "Sociophysics of social conflict." Physics Today 71, no. 8 (August 2018): 12–13. http://dx.doi.org/10.1063/pt.3.3986.

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7

Galam, Serge. "Sociophysics: a personal testimony." Physica A: Statistical Mechanics and its Applications 336, no. 1-2 (May 2004): 49–55. http://dx.doi.org/10.1016/j.physa.2004.01.009.

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8

Stauffer, Dietrich. "A Biased Review of Sociophysics." Journal of Statistical Physics 151, no. 1-2 (October 2, 2012): 9–20. http://dx.doi.org/10.1007/s10955-012-0604-9.

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9

Kaufman, Miron, Hung T. Diep, and Sanda Kaufman. "Sociophysics Analysis of Multi-Group Conflicts." Entropy 22, no. 2 (February 14, 2020): 214. http://dx.doi.org/10.3390/e22020214.

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We present our research on the application of statistical physics techniques to multi-group social conflicts. We identify real conflict situations of which the characteristics correspond to the model. We offer realistic assumptions about conflict behaviors that get factored into model-generated scenarios. The scenarios can inform conflict research and strategies for conflict management. We discuss model applications to two- and three-group conflicts. We identify chaotic time evolution of mean attitudes and the occurrence of strange attractors. We examine the role that the range of interactions plays with respect to the occurrence of chaotic behavior.
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10

GALAM, SERGE. "SOCIOPHYSICS: A REVIEW OF GALAM MODELS." International Journal of Modern Physics C 19, no. 03 (March 2008): 409–40. http://dx.doi.org/10.1142/s0129183108012297.

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We review a series of models of sociophysics introduced by Galam and Galam et al. in the last 25 years. The models are divided into five different classes, which deal respectively with democratic voting in bottom-up hierarchical systems, decision making, fragmentation versus coalitions, terrorism and opinion dynamics. For each class the connexion to the original physical model and techniques are outlined underlining both the similarities and the differences. Emphasis is put on the numerous novel and counterintuitive results obtained with respect to the associated social and political framework. Using these models several major real political events were successfully predicted including the victory of the French extreme right party in the 2000 first round of French presidential elections, the voting at fifty–fifty in several democratic countries (Germany, Italy, Mexico), and the victory of the "no" to the 2005 French referendum on the European constitution. The perspectives and the challenges to make sociophysics a predictive solid field of science are discussed.
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11

CINI, ALESSANDRO, and ANDREA GUAZZINI. "HUMAN VIRTUAL COMMUNITIES: AFFINITY AND COMMUNICATION DYNAMICS." Advances in Complex Systems 16, no. 07 (October 2013): 1350034. http://dx.doi.org/10.1142/s0219525913500343.

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The modeling of small group dynamics represents a hard challenge despite the effort of disciplines such as sociophysics and social psychology. The interaction between the complex topology of human social structures/communities and the cognitive processes characterizing humans at the microscopic level, are the focus of the classical social cognition paradigm, and it has been deeply researched in the last century. In the present study we used a web based Chat room as an experimental environment for the study of social interactions within a small group of people. The target of the present study is to explore the relations between the affinity among individual and their communication dynamics. We designed three different experimental tasks (social problem), with a crescent degree of social complexity, in order to test the impact of different social constraints on the evolution of the affinity network, as well as on the dynamics of communication. Our aim is to define the "cognitive recipes" used by the subjects to solve the required social problems. Our results show that the complexity of the social problem affects the relation between affinity and communication networks, influencing at the same time both affinity and opinion. We use the sociophysics and social cognitive models in order to interpret the results, showing the limits of the most diffused sociophysics models when aiming at forecasting the dynamics of a small group.
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12

Galam, Serge. "The Trump phenomenon: An explanation from sociophysics." International Journal of Modern Physics B 31, no. 10 (April 20, 2017): 1742015. http://dx.doi.org/10.1142/s0217979217420152.

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The Trump phenomenon is argued to depart from current populist rise in Europe. According to a model of opinion dynamics from sociophysics the machinery of Trump’s amazing success obeys well-defined counter-intuitive rules. Therefore, his success was in principle predictable from the start. The model uses local majority rule arguments and obeys a threshold dynamics. The associated tipping points are found to depend on the leading collective beliefs, cognitive biases and prejudices of the social group which undertakes the public debate. And here comes the open sesame of the Trump campaign, which develops along two successive steps. During a first moment, Trump’s statement produces a majority of voters against him. But at the same time, according to the model the shocking character of the statement modifies the prejudice balance. In case the prejudice is present even being frozen among voters, the tipping point is lowered at Trump’s benefit. Nevertheless, although the tipping point has been lowered by the activation of frozen prejudices it is instrumental to preserve enough support from openly prejudiced people to be above the threshold. Then, as infuriated voters launch intense debate, occurrence of ties will drive progressively hostile people to shift their voting intention without needing to endorse the statement which has infuriated them. The ongoing debate does drive towards a majority for Trump. The possible Trump victory at November Presidential election is discussed. In particular, the model shows that to eventually win the Presidential election, Trump must not modify his past shocking attitude but to appeal to a different spectrum of frozen prejudices, which are common to both Democrats and Republicans.
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13

Kutner, Ryszard, Marcel Ausloos, Dariusz Grech, Tiziana Di Matteo, Christophe Schinckus, and H. Eugene Stanley. "Econophysics and sociophysics: Their milestones & challenges." Physica A: Statistical Mechanics and its Applications 516 (February 2019): 240–53. http://dx.doi.org/10.1016/j.physa.2018.10.019.

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14

Kaufman, Miron, Hung T. Diep, and Sanda Kaufman. "Sociophysics of intractable conflicts: Three-group dynamics." Physica A: Statistical Mechanics and its Applications 517 (March 2019): 175–87. http://dx.doi.org/10.1016/j.physa.2018.11.003.

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15

Stauffer, Dietrich. "Sociophysics: the Sznajd model and its applications." Computer Physics Communications 146, no. 1 (June 2002): 93–98. http://dx.doi.org/10.1016/s0010-4655(02)00439-3.

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16

Gwizdalla, Tomasz M. "Gallagher index for sociophysical models." Physica A: Statistical Mechanics and its Applications 387, no. 12 (May 2008): 2937–51. http://dx.doi.org/10.1016/j.physa.2008.01.028.

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17

STAUFFER, D. "SOCIOPHYSICS — A REVIEW OF RECENT MONTE CARLO SIMULATIONS." Fractals 11, supp01 (February 2003): 313–18. http://dx.doi.org/10.1142/s0218348x03001975.

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Computational models for social phenomena are reviewed: Bonabeau et al. for the formation of social hierarchies, Donangelo and Sneppen for the replacement of barter by money, Solomon and Weisbuch for marketing percolation, and Sznajd for political persuasion. Finally we review how to destroy the internet.
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18

STAUFFER, D., A. O. SOUSA, and S. MOSS DE OLIVEIRA. "GENERALIZATION TO SQUARE LATTICE OF SZNAJD SOCIOPHYSICS MODEL." International Journal of Modern Physics C 11, no. 06 (September 2000): 1239–45. http://dx.doi.org/10.1142/s012918310000105x.

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The one-dimensional Sznajd model "united we stand, divided well fall" is generalized to the square lattice with similar fixed points. Only in two of the variants are the distribution of equilibration times roughly log-normal. Probabilistic generalizations destroyed the "dictatorial" fixed points.
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19

Eliazar, Iddo. "Sociophysics of sexism: normal and anomalous petrie multipliers." Journal of Physics A: Mathematical and Theoretical 48, no. 27 (June 17, 2015): 27FT01. http://dx.doi.org/10.1088/1751-8113/48/27/27ft01.

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20

MAKSIMOVA, Natalia. "EVALUATION OF THE EFFICIENCY OF THE PROJECT FROM THE POINT OF VIEW OF A SOCIOPHYSICAL APPROACH." Vestnik BIST (Bashkir Institute of Social Technologies) 137 (December 28, 2020): 27–32. http://dx.doi.org/10.47598/2078-9025-2020-4-49-27-32.

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The article describes an approach to assessing the effectiveness of a project implemented at an enterprise. The problem of assessing the effectiveness of a project is associated with the need to manage a project with a long life cycle. To solve the problem, it is proposed to use a sociophysical approach. The necessary elements of the mathematical model are presented. The analysis of the ratio of the potentials of the enterprise, its organizational elements and the project being implemented at the enterprise is given. Based on the analysis, it was concluded that knowledge of the potentials makes it possible to assess the effectiveness of the project activities carried out. From a sociophysical point of view, a project model is a set of accumulated potentials of state variables. On the example of two indicators — the revenue and the balance of the enterprise, where the project is being implemented, the sociophysical formulation of the task of analyzing the effectiveness of the investment project is illustrated. Calculations are given of the accumulated potentials of organizational units involved in the implementation of the project are presented; the definition of the accumulated potential reduction factor is given; an economic interpretation of the results of evaluating the effectiveness of project activities.
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21

OCHROMBEL, R. "SIMULATION OF SZNAJD SOCIOPHYSICS MODEL WITH CONVINCING SINGLE OPINIONS." International Journal of Modern Physics C 12, no. 07 (September 2001): 1091. http://dx.doi.org/10.1142/s0129183101002346.

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22

Chang, Yi-Fang. "Nonlinear Sociophysics, Quantum Sociology, and Multiply Connected Topological Economics." Sumerianz Journal of Social Science, no. 61 (January 28, 2023): 1–10. http://dx.doi.org/10.47752/sjss.61.1.10.

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First, nonlinear sociophysics and the nonlinear whole sociology are researched, which have chaos, fractal, etc. Second, quantum sociology is discussed. We propose that its bases are the extensive quantum theory and the social individual-wave duality. Third, we research the double solutions of some nonlinear equations with soliton and chaos, and the possible social meaning of chaos. On the one hand, chaos may correspond to the spread of ideas, the popularization of information, etc. On the other hand, it corresponds to the economic crisis and various social crises, etc. Fourth, chaos in corruption is discussed by mathematics. Fifth, we propose the multiply connected topological economics, in which the confidence relations and the influence functions represent various interacting strengths of different families, cliques, and systems of organization. This has a fractal structure. We propose the binary periods of the political economy by the complex function and the elliptic functions. Various applications of the mathematical and physical method are the important developing direction of modern social sciences.
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23

Arnopoulos, Paris. "A SUM of science: The taxonomy and methodology of sociophysics." KNOWLEDGE ORGANIZATION 20, no. 3 (1993): 139–49. http://dx.doi.org/10.5771/0943-7444-1993-3-139.

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24

Drye, Tim. "Sociophysics: A framework to identify transitions in collective supporter behaviour." Journal of Direct, Data and Digital Marketing Practice 17, no. 4 (June 2016): 252–57. http://dx.doi.org/10.1057/s41263-016-0003-z.

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25

Galam, Serge. "Modeling the Forming of Public Opinion: An approach from Sociophysics." Global Economics and Management Review 18, no. 1 (January 2013): 2–11. http://dx.doi.org/10.1016/s2340-1540(13)70002-1.

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26

Galam, Serge. "Geometric vulnerability of democratic institutions against lobbying: A sociophysics approach." Mathematical Models and Methods in Applied Sciences 27, no. 01 (January 2017): 13–44. http://dx.doi.org/10.1142/s0218202517400012.

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An alternative voting scheme is proposed to fill the democratic gap between a pre-sident elected democratically via universal suffrage (deterministic outcome, the actual majority decides), and a president elected by one person randomly selected from the population (probabilistic outcome depending on respective supports). Indeed, moving from one voting agent to a group of [Formula: see text] randomly selected voting agents reduces the probabilistic character of the outcome. Accordingly, building [Formula: see text] such groups, each one electing its president (elementary bricks), to constitute a group of the groups with the [Formula: see text] local presidents electing a higher-level president, does reduce further the outcome probabilistic aspect. The process is then repeated [Formula: see text] times to reach a bottom-up pyramidal structure with [Formula: see text] levels, [Formula: see text] elementary bricks at the bottom and a president at the top. Agents at the bottom are randomly selected but higher-level presidents are all designated according to the respective local majorities within the groups which elect them. At the top of the hierarchy the president is still elected with a probability but the distance from a deterministic outcome reduces quickly with increasing [Formula: see text]. At a critical value [Formula: see text] the outcome turns deterministic recovering the same result a universal suffrage would yield. This alternative hierarchical scheme introduces several social advantages like the distribution of local power to the competing minority, which thus makes the structure more resilient, yet preserving the presidency allocation to the actual majority. It also produces an area around 50% for which the president is elected with an almost-equiprobability slightly biased in favor of the actual majority. However, our results reveal the existence of a severe geometric vulnerability to lobbying. It is shown that a tiny lobbying group is able to kill the democratic balance by seizing the presidency democratically. It is sufficient to complete a correlated distribution of a few agents at the hierarchy bottom. Moreover, at the present stage, identifying an actual killing distribution is not feasible, which sheds a disturbing light on the devastating effect geometric lobbying can have on democratic hierarchical institutions.
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27

Fernandez, Miguel A., Elka Korutcheva, and F. Javier de la Rubia. "A 3-states magnetic model of binary decisions in sociophysics." Physica A: Statistical Mechanics and its Applications 462 (November 2016): 603–18. http://dx.doi.org/10.1016/j.physa.2016.06.017.

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28

ELGAZZAR, A. S. "APPLICATION OF THE SZNAJD SOCIOPHYSICS MODEL TO SMALL-WORLD NETWORKS." International Journal of Modern Physics C 12, no. 10 (December 2001): 1537–44. http://dx.doi.org/10.1142/s0129183101002875.

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The Sznajd model for the opinion formation is generalized to small-world networks. This generalization destroyed the stalemate fixed point. Then a simple definition of leaders is included. No fixed points are observed. This model displays some interesting aspects in sociology. The model is investigated using time series analysis.
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29

Vazquez, Federico. "Modeling and Analysis of Social Phenomena: Challenges and Possible Research Directions." Entropy 24, no. 4 (March 31, 2022): 491. http://dx.doi.org/10.3390/e24040491.

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This opening editorial aims to interest researchers and encourage novel research in the closely related fields of sociophysics and computational social science. We briefly discuss challenges and possible research directions in the study of social phenomena, with a particular focus on opinion dynamics. The aim of this Special Issue is to allow physicists, mathematicians, engineers and social scientists to show their current research interests in social dynamics, as well as to collect recent advances and new techniques in the analysis of social systems.
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30

Gangopadhyay, Kausik. "Book Review: Econophysics: Background and Applications in Economics, Finance, and Sociophysics." IIM Kozhikode Society & Management Review 2, no. 2 (July 2013): 178–79. http://dx.doi.org/10.1177/2277975213507840.

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31

PLUCHINO, ALESSANDRO, VITO LATORA, and ANDREA RAPISARDA. "CHANGING OPINIONS IN A CHANGING WORLD: A NEW PERSPECTIVE IN SOCIOPHYSICS." International Journal of Modern Physics C 16, no. 04 (April 2005): 515–31. http://dx.doi.org/10.1142/s0129183105007261.

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We propose a new model of opinion formation, the Opinion Changing Rate (OCR) model. Instead of investigating the conditions that allow consensus in a world of agents with different opinions, we study the conditions under which a group of agents with different natural tendency (rate) to change opinion can find agreement. The OCR is a modified version of the Kuramoto model, one of the simplest models for synchronization in biological systems, adapted here to a social context. By means of several numerical simulations, we illustrate the richness of the OCR model dynamics and its social implications.
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32

SOUSA, A. O., K. MALARZ, and S. GALAM. "RESHUFFLING SPINS WITH SHORT RANGE INTERACTIONS: WHEN SOCIOPHYSICS PRODUCES PHYSICAL RESULTS." International Journal of Modern Physics C 16, no. 10 (October 2005): 1507–17. http://dx.doi.org/10.1142/s0129183105008102.

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Galam reshuffling introduced in opinion dynamics models, is investigated under the nearest neighbor Ising model on a square lattice using Monte Carlo simulations. While the corresponding Galam analytical critical temperature TC≈3.09 [J/kB] is recovered almost exactly, it is proved to be different from both values, not reshuffled (TC =2/ arcsinh (1)≈2.27 [J/kB]) and mean-field (TC =4 [J/kB]). On this basis, gradual reshuffling is studied as function of 0≤p≤1 where p measures the probability of spin reshuffling after each Monte Carlo step. The variation of TC as function of p is obtained and exhibits a nonlinear behavior. The simplest Solomon network realization is noted to reproduce Galam p =1 result. Similarly to the critical temperature, critical exponents are found to differ from both, the classical Ising case and the mean field values.
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33

Naumis, Gerardo G., F. Samaniego-Steta, M. del Castillo-Mussot, and G. J. Vázquez. "Three-body interactions in sociophysics and their role in coalition forming." Physica A: Statistical Mechanics and its Applications 379, no. 1 (June 2007): 226–34. http://dx.doi.org/10.1016/j.physa.2006.12.046.

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34

CHANG, IKSOO. "SZNAJD SOCIOPHYSICS MODEL ON A TRIANGULAR LATTICE: FERRO AND ANTIFERROMAGNETIC OPINIONS." International Journal of Modern Physics C 12, no. 10 (December 2001): 1509–12. http://dx.doi.org/10.1142/s012918310100284x.

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The Sznajd sociophysics model is generalized on the triangular lattice with pure antiferromagnetic opinion and also with both ferromagnetic and antiferromagnetic opinions. The slogan of the trade union "united we stand, divided we fall" can be realized via the propagation of ferromagnetic opinion of adjacent people in the union, but the propagation of antiferromagnetic opinion can be observed among the third countries between two big super powers or among the family members of conflicting parents. Fixed points are found in both models. The distributions of relaxation time of the mixed model are dispersed and become closer to log–normal as the initial concentration of down spins approaches 0.5, whereas for pure antiferromagnetic spins, they are collapsed into one master curve, which is roughly log–normal. We do not see the phase transition in the model.
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35

Crokidakis, Nuno. "Effects of mass media on opinion spreading in the Sznajd sociophysics model." Physica A: Statistical Mechanics and its Applications 391, no. 4 (February 2012): 1729–34. http://dx.doi.org/10.1016/j.physa.2011.11.038.

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36

Gündüz, Güngör. "Thermodynamics of relation-based systems with applications in econophysics, sociophysics, and music." Physica A: Statistical Mechanics and its Applications 391, no. 20 (October 2012): 4637–53. http://dx.doi.org/10.1016/j.physa.2012.04.026.

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37

BERNARDES, A. T., U. M. S. COSTA, A. D. ARAUJO, and D. STAUFFER. "DAMAGE SPREADING, COARSENING DYNAMICS AND DISTRIBUTION OF POLITICAL VOTES IN SZNAJD MODEL ON SQUARE LATTICE." International Journal of Modern Physics C 12, no. 02 (February 2001): 159–67. http://dx.doi.org/10.1142/s0129183101001584.

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In the Sznajd model of sociophysics on the square lattice, neighbors having the same opinion convince their neighbors of this opinion. We study scaling of the cluster growth. The spreading-of-damage technique is applied for the spread of opinions. We study the time evolution of the damage and compare it with the magnetization evolution. We also compare this model with the Ising model at low temperatures. It was recently shown that the distribution of votes in Brazilian elections follows a power law behavior with exponent ≃ -1.0. A model for elections based on the Sznajd model is proposed. The exponent obtained for the distribution of votes during the transient agrees with that obtained for elections.
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38

Strathman, Alan, Sara M. Baker, and Kathryn A. Kost. "Distinguishing the psychologies of the sociophysical and the natural environment." American Psychologist 46, no. 2 (1991): 164–65. http://dx.doi.org/10.1037/0003-066x.46.2.164.

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39

RODRIGUES, F. A., and L. DA F. COSTA. "SURVIVING OPINIONS IN SZNAJD MODELS ON COMPLEX NETWORKS." International Journal of Modern Physics C 16, no. 11 (November 2005): 1785–92. http://dx.doi.org/10.1142/s0129183105008278.

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The Sznajd model has been largely applied to simulate many sociophysical phenomena. In this paper, we applied the Sznajd model with more than two opinions on three different network topologies and observed the evolution of surviving opinions after many interactions among the nodes. As result, we obtained a scaling law which depends of the network size and the number of possible opinions. We also observed that this scaling law is not the same for all network topologies, being quite similar between scale-free networks and Sznajd networks but different for random networks.
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40

Galam, Serge. "Will Trump win again in the 2020 election? An answer from a sociophysics model." Physica A: Statistical Mechanics and its Applications 570 (May 2021): 125835. http://dx.doi.org/10.1016/j.physa.2021.125835.

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41

Norris, Lawrence. "Using Twitter to disseminate acoustics information: Planning and measurement using marketing science and sociophysics." Journal of the Acoustical Society of America 137, no. 4 (April 2015): 2367. http://dx.doi.org/10.1121/1.4920599.

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42

Galam, Serge. "Stubbornness as an unfortunate key to win a public debate: an illustration from sociophysics." Mind & Society 15, no. 1 (July 26, 2015): 117–30. http://dx.doi.org/10.1007/s11299-015-0175-y.

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43

Fenner, Trevor, Eric Kaufmann, Mark Levene, and George Loizou. "A multiplicative process for generating a beta-like survival function with application to the UK 2016 EU referendum results." International Journal of Modern Physics C 28, no. 11 (November 2017): 1750132. http://dx.doi.org/10.1142/s0129183117501327.

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Human dynamics and sociophysics suggest statistical models that may explain and provide us with better insight into social phenomena. Contextual and selection effects tend to produce extreme values in the tails of rank-ordered distributions of both census data and district-level election outcomes. Models that account for this nonlinearity generally outperform linear models. Fitting nonlinear functions based on rank-ordering census and election data therefore improves the fit of aggregate voting models. This may help improve ecological inference, as well as election forecasting in majoritarian systems. We propose a generative multiplicative decrease model that gives rise to a rank-order distribution and facilitates the analysis of the recent UK EU referendum results. We supply empirical evidence that the beta-like survival function, which can be generated directly from our model, is a close fit to the referendum results, and also may have predictive value when covariate data are available.
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44

Poulsen, M. F., and J. Forrest. "Correlates of Energy Use: Domestic Electricity Consumption in Sydney." Environment and Planning A: Economy and Space 20, no. 3 (March 1988): 327–38. http://dx.doi.org/10.1068/a200327.

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The role of income in domestic electricity consumption, compared with the influence of other sociophysical characteristics such as household or dwelling structure, has long been under debate. The major problem is one of multicollinearity among the independent variables. Sequential regression models are used to overcome this problem. The role of income is disaggregated from that of gas usage, dwelling type, dwelling size, and family structure, and found to be less important than some studies would suggest. Much of its influence is indirect, its role often that of a surrogate for other causative influences. The importance of these findings bears on the development of government policies in the electricity conservation area.
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Ishii, Akira, and Takuma Koyabu. "Analysis of behavior of attenuation of social memories on movie and social scandal using sociophysics approach." Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications 2016 (2016): 204–9. http://dx.doi.org/10.5687/sss.2016.204.

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Bazighifan, Omar, and Sameh Askar. "On the oscillation of nonlinear delay differential equations and their applications." Open Physics 19, no. 1 (January 1, 2021): 788–96. http://dx.doi.org/10.1515/phys-2021-0097.

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Abstract The oscillation of nonlinear differential equations is used in many applications of mathematical physics, biological and medical physics, engineering, aviation, complex networks, sociophysics and econophysics. The goal of this study is to create some new oscillation criteria for fourth-order differential equations with delay and advanced terms ( a 1 ( x ) ( w ‴ ( x ) ) n ) ′ + ∑ j = 1 r β j ( x ) w k ( γ j ( x ) ) = 0 , {({a}_{1}(x){({w}^{\prime\prime\prime }(x))}^{n})}^{^{\prime} }+\mathop{\sum }\limits_{j=1}^{r}{\beta }_{j}(x){w}^{k}({\gamma }_{j}(x))=0, and ( a 1 ( x ) ( w ‴ ( x ) ) n ) ′ + a 2 ( x ) h ( w ‴ ( x ) ) + β ( x ) f ( w ( γ ( x ) ) ) = 0 . {({a}_{1}(x){({w}^{\prime\prime\prime }(x))}^{n})}^{^{\prime} }+{a}_{2}(x)h({w}^{\prime\prime\prime }(x))+\beta (x)f(w(\gamma (x)))=0. The method is based on the use of the comparison technique and Riccati method to obtain these criteria. These conditions complement and extend some of the results published on this topic. Two examples are provided to prove the efficiency of the main results.
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LORENZ, JAN, and MARTIN NEUMANN. "OPINION DYNAMICS AND COLLECTIVE DECISIONS." Advances in Complex Systems 21, no. 06n07 (September 2018): 1802002. http://dx.doi.org/10.1142/s0219525918020022.

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We expect that democracy enables us to utilize collective intelligence such that our collective decisions build and enhance social welfare, and such that we accept their distributive and normative consequences. Collective decisions are produced by voting procedures which aggregate individual preferences and judgments. Before and after, individual preferences and judgments change as their underlying attitudes, values, and opinions change through discussion and deliberation. In large groups, these dynamics naturally go beyond the scope of the individual and consequently might show unexpected self-driven macroscopic systems dynamics following socio-physical laws. On the other hand, aggregated information and preferences as communicated through media, polls, political parties, or interest groups, also play a large role in the individual opinion formation process. Further on, actors are also capable of strategic opinion formation in the light of a pending referendum, election or other collective decision. Opinion dynamics and collective decision should thus not only be tackled by social choice, game theory, political and social psychology, but also from a systems dynamics and sociophysics perspective.
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Ormazábal, Ignacio, F. A. Borotto, and H. F. Astudillo. "Influence of Money Distribution on Civil Violence Model." Complexity 2017 (2017): 1–15. http://dx.doi.org/10.1155/2017/7453560.

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We study the influence of money distribution on the dynamics of Epstein’s model of civil violence. For this, we condition the hardship parameter distributed according to the distribution of money, which is a local parameter that determines the dynamics of the model of civil violence. Our experiments show that the number of outbursts of protest and the number of agents participating in them decrease when the distribution of money guarantees that there are no agents without money in the system as a consequence of saving. This reduces social protests and the system shows a phase transition of the second order for a critical saving parameter. These results also show three characteristic regimes that depend on the savings in the system, which account for emerging phenomena associated with the saving levels of the system and define scales of development characteristic of social conflicts understood as a complex system. The importance of this model is to provide a tool to understand one of the edges that characterize social protest, which describes this phenomenon from the sociophysics and complex systems.
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Badiora, Adewumi Israel, and Albert A. Abegunde. "Crime Incidence in Postcommunal Crisis Areas of Southwestern Nigeria: The Effects of Sociophysical Characteristics." Journal of Applied Security Research 10, no. 1 (January 2, 2015): 77–96. http://dx.doi.org/10.1080/19361610.2015.972283.

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Xia, Haoxiang, Huili Wang, and Zhaoguo Xuan. "Opinion Dynamics." International Journal of Knowledge and Systems Science 2, no. 4 (October 2011): 72–91. http://dx.doi.org/10.4018/jkss.2011100106.

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As a key sub-field of social dynamics and sociophysics, opinion dynamics utilizes mathematical and physical models and the agent-based computational modeling tools, to investigate the spreading of opinions in a collection of human beings. This research field stems from various disciplines in social sciences, especially the social influence models developed in social psychology and sociology. A multidisciplinary review is given in this paper, attempting to keep track of the historical development of the field and to shed light on its future directions. In the review, the authors discuss the disciplinary origins of opinion dynamics, showing that the combination of the social processes, which are conventionally studied in social sciences, and the analytical and computational tools, which are developed in mathematics, physics and complex system studies, gives birth to the interdisciplinary field of opinion dynamics. The current state of the art of opinion dynamics is then overviewed, with the research progresses on the typical models like the voter model, the Sznajd model, the culture dissemination model, and the bounded confidence model being highlighted. Correspondingly, the future directions of this academic field are envisioned, with an advocation for closer synthesis of the related disciplines.
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