Introduction to Online Complexity: The New Social Physics of Extremes, Misinformation, and AI

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Frank Yingjie Huo (PhD Student, PhD Student, George Washington University) Pedro D. Manrique (Assistant Professor of Physics, Assistant Professor of Physics, Florida Polytechnic University)

Introduction to Online Complexity

The New Social Physics of Extremes, Misinformation, and AI

Frank Yingjie Huo (PhD Student, PhD Student, George Washington University), Pedro D. Manrique (Assistant Professor of Physics, Assistant Professor of Physics, Florida Polytechnic University), Minzhang Zheng (Senior Bioinformatics Research Scientist, Senior Bioinformatics Research Scientist, St. Jude Children's Research Hospital) , Neil Johnson (Professor, Head of Dynamic Online Networks Laboratory, Professor, Head of Dynamic Online Networks Laboratory, George Washington University)

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English

Oxford University Press
23 December 2025

Mathematical physics; Machine learning; Human-computer interaction

Today's online and offline world is an immensely complex system. We see numerous surprising ""black swan"" events emerging, yet it is hard to make sense of them. This book attempts to quantitatively address many of these phenomena from the perspective of physics. Physics is used as a tool to model interactions and provide potential control schemes to complex systems.

The new science of systems interacting including heterogenous humans, technology, and Artificial Intelligence (AI) is an exciting prospect, with applications ranging from space missions through to new medical procedures. Introduction to Online Complexity lays out the new science of these systems with an aim to help equip the next generation of physicists and other scientists with knowledge of what to expect, how such systems can be described quantitatively, and what tools could be used to design behaviours or mitigate undesired behaviours.

This book operates as both a source book and a textbook for this deeply interesting new physics.

By: Frank Yingjie Huo (PhD Student PhD Student George Washington University), Pedro D. Manrique (Assistant Professor of Physics, Assistant Professor of Physics, Florida Polytechnic University), Minzhang Zheng (Senior Bioinformatics Research Scientist, Senior Bioinformatics Research Scientist, St. Jude Children's Research Hospital), Neil Johnson (Professor, Head of Dynamic Online Networks Laboratory, Professor, Head of Dynamic Online Networks Laboratory, George Washington University)
Imprint: Oxford University Press
Country of Publication: United Kingdom
Dimensions: Height: 246mm, Width: 171mm,
ISBN: 9780198921011
ISBN 10: 0198921012
Pages: 304
Publication Date: 23 December 2025
Audience: College/higher education , Primary
Format: Hardback
Publisher's Status: Active

Frank Huo is a PhD student at the George Washington University, having graduated with BA, MA, and Mmath degrees from Pembroke College, Cambridge University. His research interests include theoretical physics of complex systems. Professor Neil F. Johnson is Head of Dynamic Online Networks Laboratory, George Washington University. He was Professor of Physics at the University of Oxford until 2007, and has been a Professor of Physics at George Washington University since 2018. Professor Pedro D. Manrique is Assistant Professor of Physics, Florida Polytechnic University. He has had research appointments at Los Alamos National Laboratory as a Director's fellow and at George Washington University. Dr Minzhang Zheng is a Senior Bioinformatics Research Scientist at St. Jude Children's Research Hospital. He is also an adjunct Assistant Research Professor at George Washington University.

Reviews for Introduction to Online Complexity: The New Social Physics of Extremes, Misinformation, and AI

A good book which works through the mathematical steps in a detailed way appropriate for graduate or advanced undergraduate students, and explains some of the trickier mathematics with generating functions. * Robert Ziff, University of Michigan * A great book, and very timely. * Jean-Philippe Bouchaud, Capital Fund Management (CFM) and École Normale Supérieure (ENS), Paris *