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PHYSICAL ANALYSIS OF SOCIAL DYNAMICS: A SOCIOPHYSICS PERSPECTIVE

Year 2024, Volume: 7 Issue: 1, 44 - 56, 30.06.2024
https://doi.org/10.70030/sjmakeu.1483649

Abstract

Sociophysics is an interdisciplinary field that uses methods from the physical sciences to study human behavior and interactions. It includes mathematical and computational techniques such as big data analysis, statistical modeling, network theory, and simulations. It analyzes complex systems to understand the dynamics of society. Historically, sociophysics emerged from applying statistical mechanics and thermodynamics to social phenomena. Foundational work has modeled opinion dynamics, crowd behavior, and information diffusion in social networks, and provided insights into consensus, polarization, and social stability. The basic concepts are based on treating individuals as agents, using network theory, and applying statistical mechanics and dynamical systems. Methods include big data analysis, statistical modeling, simulations, and network analysis. Future research will aim to integrate artificial intelligence and machine learning, foster interdisciplinary collaboration, utilize real-time data, and apply findings to public policy. Sociophysics aims to improve our understanding of social systems and solve today's society's complex problems. In this study, the field of sociophysics, its historical development, studies in the literature, and methods were generally discussed.

References

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Year 2024, Volume: 7 Issue: 1, 44 - 56, 30.06.2024
https://doi.org/10.70030/sjmakeu.1483649

Abstract

References

  • Dautenhahn, K. (1997). I could be you: The phenomenological dimension of social understanding. Cybernetics & Systems, 28(5), 417-453.
  • Bhat, R. M., Silllalee, A., & Kandasamy, L. S. (2023). Concepts and Contexts: The Interplay of Philosophy and History in Understanding Human Society. East Asian Journal of Multidisciplinary Research, 2(6), 2581-2590.
  • Kunisch, S., Denyer, D., Bartunek, J. M., Menz, M., & Cardinal, L. B. (2023). Review research as scientific inquiry. Organizational Research Methods, 26(1), 3-45.
  • Neumann, E., & Zaki, J. (2023). Toward a social psychology of cynicism. Trends in Cognitive Sciences, 27(1), 1-3.
  • Gaffal, M., & Padilla Gálvez, J. (2024). Negotiation, Game Theory and Language Games. In Dynamics of Rational Negotiation: Game Theory, Language Games and Forms of Life (pp. 11-40). Cham: Springer Nature Switzerland.
  • Gilleard, J., & Gilleard, J. D. (2002). Developing cross-cultural communication skills. Journal of professional issues in engineering education and practice, 128(4), 187-200.
  • Stetsenko, A. (2005). Activity as object-related: Resolving the dichotomy of individual and collective planes of activity. Mind, culture, and activity, 12(1), 70-88.
  • Saeverot, H. (2024). Hegel’s Phenomenology of Spirit as Bildungsroman. Studies in Philosophy and Education, 43(1), 1-13.
  • Mayrl, D., & Wilson, N. H. (2024). Comparison after Positivism. In After Positivism: New Approaches to Comparison in Historical Sociology (pp. 1-26). Columbia University Press.
  • Brian, É. (2024). Analytical Probability, Averages and Data Distributions in the 19th Century. In Are Statistics Only Made of Data? Know-how and Presupposition from the 17th and 19th Centuries (pp. 71-144). Cham: Springer International Publishing.
  • François, K., & Monteiro, C. (2023). Reflections on Civic Statistics: A Triangulation of Citizen, State and Statistics: Past, Present and Future. In Statistics for Empowerment and Social Engagement: teaching Civic Statistics to develop informed citizens (pp. 505-536). Cham: Springer International Publishing.
  • Davis, P. J. (2023). Entropy and society: can the physical/mathematical notions of entropy be usefully imported into the social sphere?. In Frontiers in Entropy Across the Disciplines: Panorama of Entropy: Theory, Computation, and Applications (pp. 1-18).
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  • Schweitzer, F. (2018). Sociophysics. Physics today, 71(2), 40-46.
  • Sen, P., & Chakrabarti, B. K. (2014). Sociophysics: an introduction. OUP Oxford.
  • Barnes, T. J., & Wilson, M. W. (2014). Big data, social physics, and spatial analysis: The early years. Big Data & Society, 1(1), 2053951714535365.
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  • Jusup, M., Holme, P., Kanazawa, K., Takayasu, M., Romić, I., Wang, Z., ... & Perc, M. (2022). Social physics. Physics Reports, 948, 1-148.
  • Urry, J. (2004). Small worlds and the new ‘social physics’. Global networks, 4(2), 109-130.
  • Mirowski, P. (1991). More heat than light: economics as social physics, physics as nature's economics. Cambridge University Press.
  • Bhattacharya, K., & Kaski, K. (2019). Social physics: uncovering human behaviour from communication. Advances in Physics: X, 4(1), 1527723.
  • Yukalov, V. I. (2023). Selected topics of social physics: Equilibrium systems. Physics, 5(2), 590-635.
  • Adolf, M. T., & Stehr, N. (2018). Information, knowledge, and the return of social physics. Administration & Society, 50(9), 1238-1258.
  • Robertson, George Croom (1911). "Hobbes, Thomas" . Encyclopædia Britannica. Vol. 13 (11th ed.). pp. 545–55
  • Balz, A. G. (1937). The Challenge of Metaphysics to Social Science. J. Soc. Phil., 3, 101.
  • Iggers, G. G. (1959). Further Remarks about Early Uses of the Term" Social Science". Journal of the History of Ideas, 433-436.
  • Senn, P. (2000). Mathematics and the social sciences at the time of the modern beginnings of the social sciences. Journal of Economic Studies, 27(4/5), 271-292.
  • François, K., & Bracke, N. (2006). Teaching statistics in a critical way: Historical, philosophical and political aspects of statistics. In 7th International Conference on Teaching Statistics (ICOTS 7). International Association for Statistical Education.
  • Kuijper, H. (2022). The Concept of Country. In Comprehending the Complexity of Countries: The Way Ahead (pp. 55-88). Singapore: Springer Nature Singapore.
  • Kleingeld, P. (2017). Contradiction and Kant’s formula of universal law. Kant-Studien, 108(1), 89-115.
  • Kuusela, V. (2012). Laplace-a pioneer of statistical inference. J. Électron. Hist. Probab. Stat, 8, 1-24.
  • Britannica, T. Editors of Encyclopaedia (2024, April 5). Henri de Saint-Simon. Encyclopedia Britannica. https://www.britannica.com/biography/Henri-de-Saint-Simon
  • J. H. Goldthorpe, “Quetelet and his critics”, in Pioneers of sociological science: statistical foundations and the theory of action (Cambridge University Press, 2021), pp. 25–41.
  • Perc, M. (2019). The social physics collective. Scientific reports, 9(1), 16549.
  • Ball, P. (2002). The physical modelling of society: a historical perspective. Physica A: Statistical Mechanics and its Applications, 314(1-4), 1-14.
  • Jahoda, G. (2015). Quetelet and the emergence of the behavioral sciences. Springerplus, 4, 1-10.
  • Garry W. Trompf, Encyclopedia of Knowledge Organization, edited by Birger Hjørland and Claudio Gnoli, ; https://www.isko.org/cyclo/comte#1.4
  • Stauffer, D. (2013). A biased review of sociophysics. Journal of Statistical Physics, 151, 9-20.
  • Deltete, R. J. (2012). Josiah Willard Gibbs (1839-1903). In Philosophy of Chemistry (pp. 89-100). North-Holland.
  • Mohanty, R. K. (2023). Comparative History in Sociological Writings of Max Weber. Sociological Bulletin, 72(1), 56-72.
  • Batty, M. (2023). A new kind of search. Environment and Planning B: Urban Analytics and City Science, 50(3), 575-578.
  • Rousseau, R. (2002). George Kingsley Zipf: life, ideas, his law and informetrics. Glottometrics, 3(1), 11-18.
  • Barnes, T. J., & Wilson, M. W. (2014). Big data, social physics, and spatial analysis: The early years. Big Data & Society, 1(1), 2053951714535365.
  • Bassani, G. F. (Ed.). (2007). Ettore Majorana: Scientific Papers. Springer Science & Business Media.
  • Chakraborti, A., Raina, D., & Sharma, K. (2016). Can an interdisciplinary field contribute to one of the parent disciplines from which it emerged?. The European Physical Journal Special Topics, 225, 3127-3135.
  • Stewart, J. Q. (1947). Empirical mathematical rules concerning the distribution and equilibrium of population. Geographical review, 37(3), 461-485.
  • Stewart, J. Q. (1948). Demographic gravitation: evidence and applications. Sociometry, 11(1/2), 31-58.
  • Nicholas Rashevsky Mathematical Theory of Human Relations: An Approach to Mathematical Biology of Social Phenomena. Bloomington, ID: Principia Press, 1947/1949 (2nd ed.)
  • Outline of a Unified Approach to Physics, Biology and Sociology., Bulletin of Mathematical Biophysics 31 (1969): 159–198. Outline of a Mathematical Theory of Human Relations Author(s): N. Rashevsky Source: Philosophy of Science , Oct., 1935, Vol. 2, No. 4 (Oct., 1935), pp. 413-430
  • Likert, R. (1947). Kurt Lewin: A pioneer in human relations research. Human Relations, 1(1), 131-140.
  • Holton, G. (2004). Robert K. Merton. Proceedings of the American Philosophical Society, 148(4), 505.
  • Wiener, N. (1938). The homogeneous chaos. American Journal of Mathematics, 60(4), 897-936.
  • Masani, P. R. (2012). Norbert Wiener 1894–1964 (Vol. 5). Birkhäuser.
  • Jeřábek, H. (2001). Paul Lazarsfeld—The founder of modern empirical sociology: A research biography. International journal of public opinion research, 13(3), 229-244.
  • Rapoport, A. (1960). Fights, games, and debates. University of Michigan Press.
  • Solomonoff, R., & Rapoport, A. (1951). Connectivity of random nets. The bulletin of mathematical biophysics, 13, 107-117.
  • Schelling T.C. Dynamic models of segregation J. Math. Sociol., 1 (1971), pp. 143-186
  • Schelling, T. C. (1992). Some economics of global warming. The American Economic Review, 82(1), 1-14.
  • Arrow, K. J., Forsythe, R., Gorham, M., Hahn, R., Hanson, R., Ledyard, J. O., ... & Zitzewitz, E. (2008). The promise of prediction markets. Science, 320(5878), 877-878.
  • Galam, S., & Galam, S. (2012). What is sociophysics about? (pp. 3-19). Springer US.
  • Galam, S. (2016). Stubbornness as an unfortunate key to win a public debate: an illustration from sociophysics. Mind & Society, 15, 117-130.
  • Galam, S. (2017). The Trump phenomenon: An explanation from sociophysics. International Journal of Modern Physics B, 31(10), 1742015.
  • Mantegna, R. N., & Stanley, H. E. (1999). Introduction to econophysics: correlations and complexity in finance. Cambridge university press.
  • Lillo, F., Farmer, J. D., & Mantegna, R. N. (2003). Master curve for price-impact function. Nature, 421(6919), 129-130.
  • Glymour, C. (1983). Social science and social physics. Behavioral Science, 28(2), 126-134.
  • Savoiu, G., & Siman, I. I. (2012). Sociophysics: A new science or a new domain for physicists in a modern university. Econophysics: Background and applications in economics, finance, and sociophysics, 149-168.
  • Drye, T. (2016). Sociophysics: A framework to identify transitions in collective supporter behaviour. Journal of Direct, Data and Digital Marketing Practice, 17, 252-257.
  • Ghosh, A., Monsivais, D., Bhattacharya, K., & Kaski, K. (2017). Social Physics: Understanding Human Sociality in Communication Networks. Econophysics and Sociophysics: Recent Progress and Future Directions, 187-200.
  • Kaufman, S., Kaufman, M., & Diep, H. T. (2018). Sociophysics of social conflict. Physics Today, 71(8), 12-13.
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There are 100 citations in total.

Details

Primary Language English
Subjects Artificial Intelligence (Other)
Journal Section Original Research Articles
Authors

Yeşim Öktem 0000-0002-1638-4331

Elif P. Tuncer 0009-0008-3801-7453

Ali Özhan Akyüz 0000-0001-9265-7293

Publication Date June 30, 2024
Submission Date May 14, 2024
Acceptance Date June 27, 2024
Published in Issue Year 2024 Volume: 7 Issue: 1

Cite

APA Öktem, Y., Tuncer, E. P., & Akyüz, A. Ö. (2024). PHYSICAL ANALYSIS OF SOCIAL DYNAMICS: A SOCIOPHYSICS PERSPECTIVE. Scientific Journal of Mehmet Akif Ersoy University, 7(1), 44-56. https://doi.org/10.70030/sjmakeu.1483649