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Center for the Dynamics of Social Complexity

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    • Computational Social Science
    • Cultural Evolution
    • The Social Complexity of Science
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    • Computational Social Science
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Home » Research » Computational Social Science

COMPUTATIONAL SOCIAL SCIENCE

Researchers in the Center for the Dynamics of Social Complexity (DySoC) advance computational approaches to understanding social dynamics at multiple scales, from online communities to global systems.

Key topics

  • Modeling collective behavior and information flow.
  • Dynamics of polarization, misinformation, and trust.
  • Computational methods for cultural and social data.

Example Projects

  • Large-scale analyses of online political discourse.
  • Modeling cultural dynamics under AI–human interaction.
  • Computational approaches to social complexity in urban environments.
  • Predictive models of collective attention and public opinion.

Selected Publications

  • Bentley, R. A., Horne, B. D. (2025). Perceptible climate warming amplifies how education increases climate concern in the US. npj Climate Action, 4(1), 12.
  • Bentley, R. A. (2022). The Acceleration of Cultural Change: From Ancestors to Algorithms. MIT Press.
  • Hidalgo, C. A., Klinger, B., Barabási, A.-L., Hausmann, R. (2007). The product space conditions the development of nations. Science, 317(5837), 482–487.
  • Ruck, D. J., Matthews, L. J., Kyritsis, T., Atkinson, Q. D., Bentley, R. A. (2020). The cultural foundations of modern democracies. Nature Human Behaviour, 4(3), 265–269.
  • Duran-Nebreda, S., O’Brien, M. J., Bentley, R. A., Valverde, S. (2022). Dilution of expertise in the rise and fall of collective innovation. Humanities & Social Sciences Communications, 9, 365.

Research Themes

Colorful abstract data visualization

Computational Social Science

Analyzing large-scale patterns in human behavior and social systems

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A photo of stonehenge - a ring of ancient stone pillars on a hilltop

Cultural Evolution

Exploring how ideas, practices, and cooperation evolve across time

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A colorful data visualization, courtesy of Ben Horne

The Social Complexity of Science

Understanding how knowledge, innovation, and trust in science emerge and spread.

(Image courtesy of Ben Horne)

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Center for the Dynamics of Social Complexity

College of Arts and Sciences

The University of Tennessee, Knoxville
Knoxville, Tennessee 37996
865-974-1000

The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway.

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