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Title: Scale-Free Network Emerged in the Markets: Human Traders versus Zero-Intelligence Traders
Authors: 陳樹衡
Contributors: 經濟系
Date: 2008
Issue Date: 2014-08-14 12:06:07 (UTC+8)
Abstract: 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.
Relation: Agent-Based Approaches in Economic and Social Complex Systems V , Springer Series on Agent Based Social Systems Volume 6, 2009, pp 245-254
Data Type: book/chapter
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