| dc.contributor | 經濟系 | en_US |
| dc.creator (作者) | 陳樹衡 | zh_TW |
| dc.creator (作者) | Chen,Shu-Heng | en_US |
| dc.date (日期) | 2008 | en_US |
| dc.date.accessioned | 14-Aug-2014 12:06:07 (UTC+8) | - |
| dc.date.available | 14-Aug-2014 12:06:07 (UTC+8) | - |
| dc.date.issued (上傳時間) | 14-Aug-2014 12:06:07 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/68730 | - |
| dc.description.abstract (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. | en_US |
| dc.format.extent | 574739 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.language.iso | en_US | - |
| dc.relation (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 | en_US |
| dc.title (題名) | Scale-Free Network Emerged in the Markets: Human Traders versus Zero-Intelligence Traders | en_US |
| dc.type (資料類型) | book/chapter | en |
| dc.identifier.doi (DOI) | 10.1007/978-4-431-87435-5_20 | en_US |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1007/978-4-431-87435-5_20 | en_US |
