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    题名: Scale-Free Network Emerged in the Markets: Human Traders versus Zero-Intelligence Traders
    作者: 陳樹衡
    Chen,Shu-Heng
    贡献者: 經濟系
    日期: 2008
    上传时间: 2014-08-14 12:06:07 (UTC+8)
    摘要: We design a Web-based prediction market platform to monitor the trading behavior among the human traders in real-time. Two experiments tied to the outcomes of mayoral election in Taiwan are performed in parallel for 30 days. From the accumulated transaction data, we reconstruct the so-called cash-flow networks. We observe that the network structure is hierarchical and scale-free with a power-law exponent of 1.15±0.07. Through carrying out a post-simulation, we also demonstrate that a simple double auction market with “zero intelligence” traders is capable of generating hierarchical and scale-free networks.
    關聯: Agent-Based Approaches in Economic and Social Complex Systems V , Springer Series on Agent Based Social Systems Volume 6, 2009, pp 245-254
    数据类型: book/chapter
    DOI 連結: http://dx.doi.org/10.1007/978-4-431-87435-5_20
    DOI: 10.1007/978-4-431-87435-5_20
    显示于类别:[經濟學系] 專書/專書篇章

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