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The proceedings of the international conference "SMSEC2014", a
joint conference of the first "Social Modeling and Simulations" and
the 10th "Econophysics Colloquium", held in Kobe in November 2014
with 174 participants, are gathered herein. Cutting edge scientific
researches on various social phenomena are reviewed. New methods
for analysis of big data such as financial markets, automobile
traffics, epidemic spreading, world-trades and social media
communications are provided to clarify complex interaction and
distributions underlying in these social phenomena. Robustness and
fragility of social systems are discussed based on agent models and
complex network models. Techniques about high performance computers
are introduced for simulation of complicated social phenomena.
Readers will feel the researchers minds that deep and quantitative
understanding will make it possible to realize comprehensive
simulations of our whole society in the near future, which will
contribute to wide fields of industry also to scientific policy
decision.
In recent years, as part of the increasing "informationization" of
industry and the economy, enterprises have been accumulating vast
amounts of detailed data such as high-frequency transaction data in
nancial markets and point-of-sale information onindividualitems in
theretail sector. Similarly,vast amountsof data arenow ava- able on
business networks based on inter rm transactions and shareholdings.
In the past, these types of information were studied only by
economists and management scholars. More recently, however,
researchers from other elds, such as physics, mathematics, and
information sciences, have become interested in this kind of data
and, based on novel empirical approaches to searching for
regularities and "laws" akin to those in the natural sciences, have
produced intriguing results. This book is the proceedings of the
international conference THICCAPFA7 that was titled "New Approaches
to the Analysis of Large-Scale Business and E- nomic Data," held in
Tokyo, March 1-5, 2009. The letters THIC denote the Tokyo Tech
(Tokyo Institute of Technology)-Hitotsubashi Interdisciplinary
Conference. The conference series, titled APFA (Applications of
Physics in Financial Analysis), focuses on the analysis of
large-scale economic data. It has traditionally brought physicists
and economists together to exchange viewpoints and experience
(APFA1 in Dublin 1999, APFA2 in Liege ` 2000, APFA3 in London 2001,
APFA4 in Warsaw 2003, APFA5 in Torino 2006, and APFA6 in Lisbon
2007). The aim of the conf- ence is to establish fundamental
analytical techniques and data collection methods, taking into
account the results from a variety of academic disciplines.
In recent years, as part of the increasing "informationization" of
industry and the economy, enterprises have been accumulating vast
amounts of detailed data such as high-frequency transaction data in
nancial markets and point-of-sale information onindividualitems in
theretail sector. Similarly,vast amountsof data arenow ava- able on
business networks based on inter rm transactions and shareholdings.
In the past, these types of information were studied only by
economists and management scholars. More recently, however,
researchers from other elds, such as physics, mathematics, and
information sciences, have become interested in this kind of data
and, based on novel empirical approaches to searching for
regularities and "laws" akin to those in the natural sciences, have
produced intriguing results. This book is the proceedings of the
international conference THICCAPFA7 that was titled "New Approaches
to the Analysis of Large-Scale Business and E- nomic Data," held in
Tokyo, March 1-5, 2009. The letters THIC denote the Tokyo Tech
(Tokyo Institute of Technology)-Hitotsubashi Interdisciplinary
Conference. The conference series, titled APFA (Applications of
Physics in Financial Analysis), focuses on the analysis of
large-scale economic data. It has traditionally brought physicists
and economists together to exchange viewpoints and experience
(APFA1 in Dublin 1999, APFA2 in Liege ` 2000, APFA3 in London 2001,
APFA4 in Warsaw 2003, APFA5 in Torino 2006, and APFA6 in Lisbon
2007). The aim of the conf- ence is to establish fundamental
analytical techniques and data collection methods, taking into
account the results from a variety of academic disciplines.
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