Overview
- recent research and reviews contemporary developments in the fields of
- econophysics and sociophysics
- Includes comments and debates on the latest issues
- Contains proceedings from a workshop attended by leading scientists from all over the world
- Includes supplementary material: sn.pub/extras
Part of the book series: New Economic Windows (NEW)
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Table of contents (18 papers)
-
Econophysics
-
Sociophysics
Keywords
- Topology of the international trade network:
- Economic Complexity
- Financial markets
- Deflation and Money
- Quantifying Financial Distress
- Community and Controllability of Global Production Network:
- The Economic Crisis
- Global economy
- Systemic risk
- ECONOPHYS-2015 proceedings
- data-driven science, modeling and theory building
About this book
This book presents the proceedings from ECONOPHYS-2015, an international workshop held in New Delhi, India, on the interrelated fields of “econophysics” and “sociophysics”, which have emerged from the application of statistical physics to economics and sociology. Leading researchers from varied communities, including economists, sociologists, financial analysts, mathematicians, physicists, statisticians, and others, report on their recent work, discuss topical issues, and review the relevant contemporary literature.
A society can be described as a group of people who inhabit the same geographical or social territory and are mutually involved through their shared participation in different aspects of life. It is possible to observe and characterize average behaviors of members of a society, an example being voting behavior. Moreover, the dynamic nature of interaction within any economic sector comprising numerous cooperatively interacting agents has many features in common with the interacting systems of statistical physics. It is on these bases that interest has grown in the application within sociology and economics of the tools of statistical mechanics. This book will be of value for all with an interest in this flourishing field.
Editors and Affiliations
About the editors
Frédéric Abergel is a Professor and Director of the Laboratory of Mathematics Applied to Systems, École Centrale Paris, Grande voie des vignes, Châtenay-Malabry, France. His research interests include financial markets, modeling of derivatives, and empirical properties of financial data. He has organized a number of international conferences and is also managing editor of the journal Quantitative Finance. He has published many articles in peer-reviewed journals.
Anirban Chakraborti is a Professor at Jawaharlal Nehru University, India. He gained his PhD in Physics in 2003 for a thesis entitled “Application of Statistical Physics to some Econophysics and Optimization Problems” and in 2009 he was awarded an Indian National Science Academy Young Scientist Medal. His current research focuses on statistical physics and its interdisciplinary application to problems in complex systems in economic and social sciences, and combinatorial optimization.
Hideaki Aoyama is a Professor in the Department of Physics, Graduate School of Science, Kyoto University, Japan. Prior to taking up this position in 2003, he was Professor in the Faculty of Integrated Human Studies and College of Liberal Arts and Sciences. He has published 46 research papers in physics, 3 in linguistics, and 25 in econophysics. He is a lifetime member of the American Physical Society and former president of the Kyoto chapter of the Japanese Physical Society.
Bikas K. Chakrabarti is Senior Professor of Physics at
the Saha Institute of Nuclear Physics, Kolkata, India and Visiting Professor of
Economics at the Indian Statistical Institute, Kolkata. He was elected as a Fellow of the Indian
Academy of Sciences in 1997 and a Fellow of the Indian National Science Academy
in 2003. His interests are condensed matter physics, statistical physics, and computational
physics and he is the author of more than 150 refereed papers.
Nivedita Deo is Associate Professor in the Department
of Physics and Astrophysics, University of Delhi, India. Her research interests
include statistical mechanics of superstrings, quantum chaos, glasses, the spectrum
of instantaneous normal modes in liquids and random matrices, and the mathematical
properties of random matrix models. She is the author of many articles in
peer-reviewed publications.
Dhruv Raina is a Professor at the Zakir Husain Centre for Educational Studies, School of Social Sciences, Jawaharlal Nehru University, New Delhi, India. He is also Honorary Director of the Northern Regional Centre, Indian Council for Social Science Research. Professor Raina has received many honors and awards. He has held the Heinrich Zimmer Chair for Indian Philosophy and Intellectual History at the University of Heidelberg, Germany and in 2015 was Visiting Professor at Université Paris Diderot.
Irena Vodenska is Assistant Professor in the Administrative Sciences Department, Metropolitan College, Boston University, USA. In addition to teaching finance courses, she has directed interdisciplinary research in collaboration with Boston University College of Arts and Sciences Physics Department. She is also Chief Investment Officer and founding partner of Amectron International LLC, Boston, Mass. and past Associate Director for Research, Center for Finance, Law, and Policy, Boston University.
Bibliographic Information
Book Title: Econophysics and Sociophysics: Recent Progress and Future Directions
Editors: Frédéric Abergel, Hideaki Aoyama, Bikas K. Chakrabarti, Anirban Chakraborti, Nivedita Deo, Dhruv Raina, Irena Vodenska
Series Title: New Economic Windows
DOI: https://doi.org/10.1007/978-3-319-47705-3
Publisher: Springer Cham
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-47704-6Published: 12 January 2017
Softcover ISBN: 978-3-319-83802-1Published: 07 July 2018
eBook ISBN: 978-3-319-47705-3Published: 11 January 2017
Series ISSN: 2039-411X
Series E-ISSN: 2039-4128
Edition Number: 1
Number of Pages: VIII, 256
Number of Illustrations: 8 b/w illustrations, 77 illustrations in colour
Topics: Data-driven Science, Modeling and Theory Building, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Applications of Graph Theory and Complex Networks