Proceedings of the International Conference on Social Modeling and Simulation, Plus Econophysics Colloquium 2014

ISBN-13: 9783319205908 / Angielski / Twarda / 2015 / 346 str.

Hideki Takayasu; Nobuyasu Ito; Itsuki Noda

Opis

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.

Spis treści

Chapter 1 Financial Market.- Influence Networks in the Foreign Exchange Market; A. Matsuo et al.- Entropy and Transfer Entropy: The Dow Jones and the build up to the 1997 Asian Crisis; M. Harre.- Execution and Cancellation Lifetimes in Foreign Currency Market; J.-F. Boilard et al.- Signs of market orders and human dynamics; J. Murai.- Damped oscillatory behaviors in the ratios of stock market indices; Ming-Chya Wu.- Exploring Market Making Strategy for High Frequency Trading: an Agent-based Approach; Y. Xiong et al.- Effect of Cancel Order on Simple Stochastic Order-Book Model; S. Ichiki, K. Nishinari.- Chapter 2 Robustness and Fragility.- Cascading failures in interdependent economic networks; S. Havlin, D. Kenett.- Do connections make systems robust?: a new scenario for the complexity-stability relation; T. Shimada et al.- Simulation of Gross Domestic Product in International Trade Networks: Linear Gravity Transportation Model; T. Deguchi et al.- Analysis of Network Robustness for a Japanese Business Relation Network by Percolation Simulation; H. Kawamoto et al.-  Detectability threshold of the spectral method for graph partitioning; T. Kawamoto, Y. Kabashima.-  Spread of Infectious Diseases with a Latent Period; K.  Mizuno, K. Kudo.-Chapter 3 Interaction and Distribution.- Geographic Dependency of Population Distribution; S. Fujimoto et al.- Spatiotemporal Analysis of Influenza Epidemics in Japan; K. Omata, Y. Takahashi.- A Universal Lifetime Distribution for Multi-Species Systems; Y. Murase et al.- Firm Age Distributions and the Decay Rate of Firm Activities; A. Ishikawa et al.- Empirical Analysis of Firm-Dynamics on Japanese Inter-firm trade Network; H. Goto et al.- Direct participants’ behavior through the lens of transactional analysis: the case of SPEI; B. Alexandrova-Kabadjova et al.- Chapter 4 Traffic and Pedestrian.- Pedestrian Dynamics in Jamology; D. Yanagisawa.- Qualitative Methods of Validating Evacuation Behaviors; T. Takahashi.- Collective dynamics of pedestrians with no fixed destination; T.i Hiraoka et al.- Traffic Simulation of Kobe-city; Y. Asano et al.- MOSAIIC: city-level agent-based traffic simulation adapted to emergency situations; G. Czura et al.- GUI for Agent Based Modeling; T. Kurata et al.- Chapter 5 Social Media.-  Emotional Changes in Japanese Blog Space Resulting from the 3.11 Earthquake; Y. Sano et al.- Modeling of ENJYO via process of consensus formation on SNS; T. Komine et al.- A network structure of emotional interactions in an electronic bulletin board; H. Adachi, M.Toda.- Scale-free network topologies with clustering similar to online social networks; I. Varga.- Identifying Colors of Products and Associated Personalized Recommendation Engine in e-Fashion Business; K. Zempo, U. Sumita.

Blurb

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.