Neil Johnson delves deeper into the power law describing war casualties. He discusses the interdisciplinary nature of complex systems research. The chapter explores excitons, crowd behavior, financial markets, and the work of Richardson in complex systems. It also explores the formation and collaboration of relationships in wars and insurgencies. Lastly, it discusses how complexity science can enhance various disciplines in understanding cities and conflicts.
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Quick takeaways
The distribution of group sizes in conflicts follows a power law with a slope of 2.5, indicating the ongoing dynamics of group formation and dissolution.
Complexity science enables the examination of conflict dynamics and the identification of common patterns and principles across different conflicts.
Deep dives
Understanding Conflict as Complex Systems
Conflict is a complex system defined by power laws, as seen in other systems like metabolism and sand-pile models. The post-internet age has brought new dynamics to conflicts. Physics background of studying group behaviors influenced interest in conflict casualties. Group formation and dissolution in conflicts follow similar principles as the formation and dissolution of opinions in financial markets. The distribution of group sizes in conflicts follows a power law with a slope of 2.5, indicating the ongoing dynamics of group formation and dissolution. Online platforms like vKon taktia have provided data on group dynamics in conflicts. The 2.5 power law was observed in conflicts like the Iraq war, narco-guerrilla war in Colombia, and pro-ISIS groups online. The 2.5 power law within a conflict represents the gradual formation and sudden dissociation of groups. Aggregating events from conflicts with 2.5 power law results in a power law with a lower slope, giving insights into conflicts at different scales. The work builds upon Richardson's earlier studies and highlights the importance of crossing disciplinary boundaries in complexity science.
The Challenge of Disciplinary Boundaries
Disciplinary boundaries pose challenges in complexity science research. Traditional physics focus on equilibrium and temperature, which are not applicable to non-equilibrium systems. The resistance from different disciplines stems from discomfort with nonlinear, non-equilibrium phenomena. Complexity science aims to incorporate multiple disciplines to enhance understanding. The in-depth study of group behaviors, essential to conflicts, remains understudied in social sciences. The future lies in combining complexity science with other disciplines to unlock a comprehensive understanding of complex systems.
The Power of Finding underlying Mechanisms
Complexity science reveals underlying mechanisms in diverse systems. The power laws observed in conflict casualties mirror those found in other complex systems like cities. The 2.5 power law in conflicts corresponds to the gradual formation and sudden dissociation of groups. Examining the formation and dissolution of groups in conflicts offers insights into human collaboration and cooperation processes. Complexity science provides a fresh perspective, challenging traditional disciplinary views. The pursuit of finding underlying mechanisms in various systems is a central goal of complexity science.
Aggregate Analysis and Scaling in Conflict Studies
Aggregate analysis and scaling play crucial roles in conflict studies. Wars are composed of numerous smaller conflicts with their own dynamics. The aggregation of events from conflicts with 2.5 power law results in a power law with a lower slope, resembling Richardon's 1.8 power law across wars. The ability to analyze conflicts at different scales provides a more comprehensive understanding. Complexity science enables the examination of conflict dynamics and the identification of common patterns and principles across different conflicts.
In our last episode, Neil Johnson explained how there was an underlying power law with a slope of 1.8 that described the number of casualties that occur in wars.
Today’s episode digs deeper into where this power law comes from, the route that Neil's research took to explain it, and how the arrival of the internet finally provided the missing datasets required to understand the underlying structure of something seemingly as chaotic as war.
Neil is Professor of Physics and Head of the Dynamic Online Networks Lab at George Washington University.