Table of contents

  1. Front Matter
    Pages i-ix
  2. Financial Market

    1. Front Matter
      Pages 1-1
    2. Arthur M. Y. R. Sousa, Hideki Takayasu, Misako Takayasu
      Pages 3-13 Open Access
    3. Jean-François Boilard, Hideki Takayasu, Misako Takayasu
      Pages 27-37 Open Access
    4. Joshin Murai
      Pages 39-50 Open Access
    5. Yibing Xiong, Takashi Yamada, Takao Terano
      Pages 63-74 Open Access
    6. Shingo Ichiki, Katsuhiro Nishinari
      Pages 75-84 Open Access
  3. Robustness and Fragility

    1. Front Matter
      Pages 85-85
    2. Shlomo Havlin, Dror Y. Kenett
      Pages 87-97 Open Access
    3. Takashi Shimada, Yohsuke Murase, Nobuyasu Ito
      Pages 99-109 Open Access
    4. Tsuyoshi Deguchi, Hideki Takayasu, Misako Takayasu
      Pages 111-118 Open Access
    5. Hirokazu Kawamoto, Hideki Takayasu, Misako Takayasu
      Pages 119-127 Open Access
    6. Tatsuro Kawamoto, Yoshiyuki Kabashima
      Pages 129-139 Open Access
    7. Kanako Mizuno, Kazue Kudo
      Pages 141-147 Open Access
  4. Interaction and Distribution

    1. Front Matter
      Pages 149-149
    2. Shouji Fujimoto, Takayuki Mizuno, Takaaki Ohnishi, Chihiro Shimizu, Tsutomu Watanabe
      Pages 151-162 Open Access
    3. Kazumi Omata, Yoshimitsu Takahashi
      Pages 163-174 Open Access
    4. Yohsuke Murase, Takashi Shimada, Nobuyasu Ito, Per Arne Rikvold
      Pages 175-186 Open Access

About these proceedings


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.    


Analyzing of Big Traffic Data Big Data Analysis Collective Dynamics of Pedestrians Modeling Epidemics Modeling Social Media Communication SMSEC2014 Proceedings Simulating Evacuation Behavior Understanding Financial Markets

Editors and affiliations

  • Hideki Takayasu
    • 1
  • Nobuyasu Ito
    • 2
  • Itsuki Noda
    • 3
  • Misako Takayasu
    • 4
  1. 1.Department of Computational Intelligence and Systems ScienceSony Computer Science Laboratories, Inc.ShinagawaJapan
  2. 2.Department of Applied PhysicsThe University of TokyoBunkyoJapan
  3. 3.Center for Service ResearchNational Institute of Advanced Industrial Science and TechnologyTsukubaJapan
  4. 4.Dept Computational IntelligenceTokyo Institute of TechnologyYokohamaJapan

Bibliographic information