Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/68730


Title: Scale-Free Network Emerged in the Markets: Human Traders versus Zero-Intelligence Traders
Authors: 陳樹衡
Chen,Shu-Heng
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
DOI 連結: http://dx.doi.org/10.1007/978-4-431-87435-5_20
Appears in Collections:[經濟學系] 專書/專書篇章

Files in This Item:

File SizeFormat
7435.pdf561KbAdobe PDF965View/Open


All items in 學術集成 are protected by copyright, with all rights reserved.


社群 sharing