Yun Huang

Dr. Yun Huang

orcid

Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
21 July 2009 in New Media & Society
Verified
Journal Article
Closed access
PDF file
ECEdward Castronova
Edward Castronova
DWDmitri Williams
Dmitri Williams
CSCuihua Shen
Cuihua Shen
RRRabindra Ratan
Rabindra Ratan
LXLi Xiong
Li Xiong
BKBrian Keegan
Brian Keegan
This article proposes an empirical test of whether aggregate economic behavior maps from the real to the virtual. Transaction data from a large commercial virtual world — the first such data set provided to outside researchers — is used to calculate metrics for production, consumption and money supply based on real-world definitions. Movements in these metrics over time were examined for consistency with common theories of macroeconomic change. The results indicated that virtual economic behavior follows real-world patterns. Moreover, a natural experiment occurred, in that a new version of the virtual world with the same rules came online during the study. The new world's macroeconomic aggregates quickly grew to be nearly exact replicas of those of the existing worlds, suggesting that `Code is Law': macroeconomic outcomes in a virtual world may be explained largely by design structure.

1 January 2014 in Journal of Informetrics
Verified
Journal Article
Closed access
ALAlina Lungeanu
Alina Lungeanu
YHYun Huang
Yun Huang
NCNoshir S. Contractor
Noshir S. Contractor

1 November 2013 in Decision Support Systems
Verified
Journal Article
Closed access
YHYun Huang
Yun Huang
CSCuihua Shen
Cuihua Shen
NCNoshir S. Contractor
Noshir S. Contractor

1 March 2012 in Information Systems Research
Verified
Journal Article
Closed access
MXMu Xia
Mu Xia
YHYun Huang
Yun Huang
WDWenjing Duan
Wenjing Duan
AWAndrew B. Whinston
Andrew B. Whinston
Peer-to-peer sharing networks have seen explosive growth recently. In these networks, sharing files is completely voluntary, and there is no financial reward for users to contribute. However, many users continue to share despite the massive free-riding by others. Using a large-scale data set of individual activities in a peer-to-peer music-sharing network, we seek to understand users' continued-sharing behavior as a private contribution to a public good. We find that the more benefit users “get from” the network, in the form of downloads, browses, and searches, the more likely they are to continue sharing. Also, the more value users “give to” the network, in the form of downloads by other users and recognition by the network, the more likely they are to continue sharing. Moreover, our findings suggest that, overall, “getting from” is a stronger force for the continued-sharing decision than “giving to.”

1 May 2013 in Social Networks
Verified
Journal Article
Closed access
MZMengxiao Zhu
Mengxiao Zhu
YHYun Huang
Yun Huang
NCNoshir S. Contractor
Noshir S. Contractor

23 February 2013
Verified
Conference Paper
Open access
PDF file
BXBo Xu
Bo Xu
YHYun Huang
Yun Huang
HKHaewoon Kwak
Haewoon Kwak
NCNoshir Contractor
Noshir Contractor