Bikas K. Chakrabarti & Anirban Chakraborti 
Econophysics and Sociophysics [PDF ebook] 
Trends and Perspectives

Using tricks to handle coupled nonlinear dynamical many-body systems, several advancements have already been made in understanding the behavior of markets/economic/social systems and their dynamics. The book intends to provide the reader with updated reviews on such major developments in both econophysics and sociophysics, by leading experts in the respective fields. This is the first book providing a panoramic view of these developments in the last decade.

Spis treści

1. A thermodynamic formulation of economics (J.Mimkes)
2. Zero-Intelligence models of limit order markets (R.Stinchcombe)
3. Understanding and managing the future evolution of a competitive multi-agent population (D.M.D.Smith and N.F.Johnson)
4. Firms’ growth and networks (Y.Fujiwara, H.Aoyama, W.Souma)
5. A review of empirical studies and models of income distributions in society (P.Richmond, S.Hutzler, R.Coelho, P.Repetowicz)
6. Models of wealth distributions – a perspective (A.Kar Gupta)
7. The contribution of money transfer models to economics (Y.Wang, N.Xi, N.Ding)
8. Fluctuations in foreign exchange markets (Y.Aiba, N.Hatano)
9. Econophysics of stock and foreign currency exchange markets (M.Ausloos)
10. A thermodynamic formulation of social science (J.Mimkes)
11. Computer simulation of language competition by physicists (C.Schulze, D.Stauffer)
12. Social opinion dynamics (G.Weisbuch)
13. Opinion dynamics, minority spreading and heterogeneous beliefs (S.Galam)
14. Global terrorism versus social permeability to underground activities (S.Galam)
15. How a 'hit’ is born: the emergence of popularity from the dynamics of collective choice (S.Sinha, R.Kumar Pan)
16. Crowd dynamics (A.Johansson, D.Helbing)
17. Complexities of social networks: a physicist’s perspective (P.Sen)
18. Emergence of memory in networks of non-linear units: from neurons to plant cells (J.Inoue)
19. Self-organization principles in supply networks and production systems (D.Helbing, T.Seidel, S.Lämmer, K.Peters)
20. Can we recognize an innovation? Perspective from an evolving network model (S.Jain, S.Krishna)
Subject Index
Author Index

O autorze

Bikas K Chakrabarti is a senior professor of theoretical condensed matter physics at the Saha Institute of Nuclear Physics, Kolkata, India. He received his doctorate in physics from Calcutta University in 1979. Following postdoctoral positions at Oxford University and Cologne University, he joined the Saha Institute of Nuclear Physics, Kolkata in 1983. Among others, his key research interests are statistical physics of linear polymers in disordered media and physics of quantum glasses and annealing and, recently, applications of statistical physics to interdisciplinary areas of geoscience (earthquake models) and economics (wealth distribution in societies). He has written and edited several books on these topics. Professor Chakrabarti is a fellow of the Indian Academy of Sciences (Bangalore) and the Indian National Science Academy (New Delhi).

Anirban Chakraborti is a lecturer in theoretical physics at Banaras Hindu University (BHU), Banaras, India. He received his doctorate in physics from Jadavpur University in 2003. Following postdoctoral positions at Helsinki University of Technology, Brookhaven National Laboratory and Saha Institute of Nuclear Physics, he moved back to India to work at BHU. Statistical physics of the traveling salesman problem, models of trading markets, stock market correlations and portfolio optimization, adaptive minority games and bioinformatics have been his major research interests.

Arnab Chatterjee is a graduate student of theoretical condensed matter physics at the Saha Institute of Nuclear Physics, Kolkata, India. He has worked on dynamic transitions in Ising models, while also taking an interest in the application of statistical physics to varied interdisciplinary fields such as complex networks and econophysics. He has studied structural properties of the transport networks and is now into developing the ideal-gas models of markets.