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Readership: Graduate students and researchers in physics, applied mathematics,
computer science, and sociology.
Parongama Sen, Associate Professor of Physics, Department of Physics, University of Calcutta, India, and Bikas K. Chakrabarti, Professor of Physics, Saha Institute of Nuclear Physics, Kolkata, India
Parongama Sen is Associate Professor of Physics at the University of Calcutta. Her research interests include phase transitions and critical phenomena, complex networks, physics of quantum and classical random walks, and applications of physics to social sciences.
Bikas K. Chakrabarti is Professor of Physics at the Saha Institute of Nuclear Physics, and Visiting Professor of Economics at the Indian Statistical Institute. He has research interests in statistical physics, condensed matter physics, physics of quantum glasses, annealing and computation, and applications of physics to social sciences.
"This well-conceived and comprehensive volume offers a stimulating introduction to the physics of society, mainly from a statistical physicist's point of view. I recommend this book to novices and experienced readers alike - it covers an exciting range of research problems." - Nicole J. Saam, Institute of Sociology, Friedrich-Alexander University of Erlangen-Nuremberg
"This book is written for those who have always wondered "Why couldn't we model society in a computer?" Sociophysics offers a new perspective on collective phenomena such as opinion formation, popularity, election outcomes, or economic and crowd dynamics. Sociophysics is on the rise. This book provides a nice introduction of some related models." - Dirk Helbing, ETH Zürich
2: Basic features of social systems and modelling
3: Opinion formation in a society
4: Social choices and popularity
5: Crowd avoiding dynamical phenomena
6: Social phenomena on complex networks
7: Of flocks, flows and transports
Appendix A: Phase transitions and critical phenomena
Appendix B: Magnetic systems: static and dynamical behaviour
Appendix C: Percolation and fractals
Appendix D: Random walks
Appendix E: Monte Carlo simulations
Appendix F: Some data analysis methods and useful tables