Complex Systems Studies
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The Physics of News, Rumors, and Opinions

The boundaries between physical and social networks have narrowed with the advent of the Internet and its pervasive platforms. This has given rise to a complex adaptive information ecosystem where individuals and machines compete for attention, leading to emergent collective phenomena. The flow of information in this ecosystem is often non-trivial and involves complex user strategies from the forging or strategic amplification of manipulative content to large-scale coordinated behavior that trigger misinformation cascades, echo-chamber reinforcement, and opinion polarization. We argue that statistical physics provides a suitable and necessary framework for analyzing the unfolding of these complex dynamics on socio-technological systems. This review systematically covers the foundational and applied aspects of this framework. The #review is structured to first establish the theoretical foundation for analyzing these complex systems, examining both structural models of complex networks and physical models of social dynamics (e.g., epidemic and spin models). We then ground these concepts by describing the modern media ecosystem where these dynamics currently unfold, including a comparative analysis of platforms and the challenge of information disorders. The central sections proceed to apply this framework to two central phenomena: first, by analyzing the collective dynamics of information spreading, with a dedicated focus on the models, the main empirical insights, and the unique traits characterizing misinformation; and second, by reviewing current models of opinion dynamics, spanning discrete, continuous, and coevolutionary approaches. In summary, we review both empirical findings based on massive data analytics and theoretical advances, highlighting the valuable insights obtained from physics-based efforts to investigate these phenomena of high societal impact.

https://arxiv.org/abs/2510.15053
Are these the happiest PhD students in the world?
https://www.nature.com/articles/d41586-025-03346-4

what matters most [is] human connections, meaningful work and mentorship.
#PhD opportunity to predict how natural populations will respond to perturbations:
https://www.findaphd.com/phds/project/social-manipulations-for-predicting-wild-animal-societies-responses-to-perturbations/?p187979

The project will combine large-scale social data from model animal systems with network analyses and social manipulations to understand the causal effects of external forces on real-world societies.
Application Deadline 7 Jan 2026, fully funded through YES-DTN scheme at University of Leeds.
🔺🔺🔺Postdoc Opportunity – Electrophysiology Lab (Shahid Beheshti University)

Dr. Reza Lashgari is looking for postdoctoral researchers to join his electrophysiology lab at Shahid Beheshti University.
Candidates with a strong background in neuroscience, signal recording, and signal processing are encouraged to apply.

Please share this with anyone who might be interested!