

110 | Neil Johnson on Complexity, Conflict, and Infodemiology
Aug 17, 2020
Neil Johnson, a Professor of Physics at George Washington University, dives into the world of complexity and information networks. He explains how self-organization occurs in systems driven by individual agendas, revealing the unpredictable nature of these interactions. The discussion also highlights how misinformation spreads like an infectious disease, impacting society and democracy. Additionally, Johnson explores the dynamics of online extremism and the power laws that govern these phenomena, shedding light on how disparate ideologies can cluster within complex systems.
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El Farol Problem
- The El Farol problem illustrates complexity with a bar's limited seating.
- People must decide whether to go, facing potential wins or losses based on the crowd.
Emergent Bar Behavior
- In complex systems like the El Farol problem, emergent behavior arises without central planning.
- Competing individual strategies can lead to a balanced outcome, like 50% bar occupancy.
Power Laws vs. Bell Curves
- Power laws describe scale-free distributions where events at different scales exhibit similar behavior.
- Unlike bell curves, power laws characterize systems like wealth distribution or earthquakes.