Social dynamics

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Social dynamics (or sociodynamics) is the study of the behavior of groups and of the interactions of individual group members, aiming to understand the emergence of complex social behaviors among microorganisms, plants and animals, including humans. It is related to sociobiology but also draws from physics and complex system sciences. In the last century, sociodynamics was viewed as part of psychology, as shown in the work: "Sociodynamics: an integrative theorem of power, authority, interfluence and love".^[1] In the 1990s, social dynamics began being viewed as a separate scientific discipline^{[By whom?]}. An important paper in this respect is: "The Laws of Sociodynamics".^[2] Then, starting in the 2000s, sociodynamics took off as a discipline of its own, many papers were released in the field in this decade.

The field of social dynamics brings together ideas from economics, sociology, social psychology, and other disciplines, and is a sub-field of complex adaptive systems or complexity science. The fundamental assumption of the field is that individuals are influenced by one another's behavior. The field is closely related to system dynamics. Like system dynamics, social dynamics is concerned with changes over time and emphasizes the role of feedbacks. However, in social dynamics individual choices and interactions are typically viewed as the source of aggregate level behavior, while system dynamics posits that the structure of feedbacks and accumulations are responsible for system level dynamics.^[3] Research in the field typically takes a behavioral approach, assuming that individuals are boundedly rational and act on local information. Mathematical and computational modeling are important tools for studying social dynamics. This field grew out of work done in the 1940s by game theorists such as Duncan & Luce, and even earlier works by mathematician Armand Borel.^[4] Because social dynamics focuses on individual level behavior, and recognizes the importance of heterogeneity across individuals, strict analytic results are often impossible. Instead, approximation techniques, such as mean-field approximations from statistical physics, or computer simulations are used to understand the behaviors of the system. In contrast to more traditional approaches in economics, scholars of social dynamics are often interested in non-equilibrium, or dynamic, behavior.^[5][6] That is, behavior that changes over time.

• Social networks
• Diffusion of technologies and information
• Cooperation
• Social norms

• Weidlich, W. (1997) "Sociodynamics applied to the evolution of urban and regional structures". Discrete Dynamics in Nature and Society, Vol. 1, pp. 85–98.

• Easley, David; Klienberg, Jon (2010). Networks, Crowds, and Markets. New York, NY: Cambridge University Press. ISBN 978-0-521-19533-1.
• Jackson, Matthew O. (2008). Social and Economic Networks. Princeton, NJ: Princeton University Press. ISBN 978-0-691-13440-6.

• Introduction to Social Macrodynamics
• Club of Rome report, quote: "We must also keep in mind the presence of social delays--the delays necessary to allow society to absorb or to prepare for a change. Most delays, physical or social reduce the stability of the world system and increase the likelihood of the overshoot mode"
• Northwestern Institute on Complex Systems—Institute with research focusing on complexity and social dynamics.
• Center for the Study of Complex Systems, University of Michigan—Center with research focusing on complexity and social dynamics.
• social-dynamics.org—Blog on Social Dynamics from Kellogg School of Management Social Dynamics Scholar
• https://archive.today/20020305021324/http://139.142.203.66/pub/www/Journal/vol3/iss2/art4/
• http://arquivo.pt/wayback/20090628232019/http://www-rcf.usc.edu/~read/connectionism_preface2.html
• "Historical Dynamics in a Time of Crisis: Late Byzantium, 1204–1453" (discussion of social dynamics from the point of view of historical studies)
• Watts, D.J.; Strogatz, S.H. (1998). "Collective dynamics of 'small-world' networks". Nature. 393 (6684): 440–442. Bibcode:1998Natur.393..440W. doi:10.1038/30918. PMID 9623998. S2CID 4429113.