No Silk Road for Online Gamers!: Using Social Network Analysis to Unveil Black Markets in Online Games
January 19, 2018 ยท Declared Dead ยท ๐ The Web Conference
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Eunjo Lee, Jiyoung Woo, Hyoungshick Kim, Huy Kang Kim
arXiv ID
1801.06368
Category
cs.CY: Computers & Society
Cross-listed
cs.CR,
cs.SI
Citations
29
Venue
The Web Conference
Last Checked
3 months ago
Abstract
Online game involves a very large number of users who are interconnected and interact with each other via the Internet. We studied the characteristics of exchanging virtual goods with real money through processes called "real money trading (RMT)." This exchange might influence online game user behaviors and cause damage to the reputation of game companies. We examined in-game transactions to reveal RMT by constructing a social graph of virtual goods exchanges in an online game and identifying network communities of users. We analyzed approximately 6,000,000 transactions in a popular online game and inferred RMT transactions by comparing the RMT transactions crawled from an out-game market. Our findings are summarized as follows: (1) the size of the RMT market could be approximately estimated; (2) professional RMT providers typically form a specific network structure (either star-shape or chain) in the trading network, which can be used as a clue for tracing RMT transactions; and (3) the observed RMT market has evolved over time into a monopolized market with a small number of large-sized virtual goods providers.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
๐ Similar Papers
In the same crypt โ Computers & Society
R.I.P.
๐ป
Ghosted
R.I.P.
๐ป
Ghosted
Artificial Intelligence: the global landscape of ethics guidelines
R.I.P.
๐ป
Ghosted
The role of artificial intelligence in achieving the Sustainable Development Goals
R.I.P.
๐ป
Ghosted
Green AI
R.I.P.
๐ป
Ghosted
Principles alone cannot guarantee ethical AI
R.I.P.
๐ป
Ghosted
Tackling Climate Change with Machine Learning
Died the same way โ ๐ป Ghosted
R.I.P.
๐ป
Ghosted
Language Models are Few-Shot Learners
R.I.P.
๐ป
Ghosted
PyTorch: An Imperative Style, High-Performance Deep Learning Library
R.I.P.
๐ป
Ghosted
XGBoost: A Scalable Tree Boosting System
R.I.P.
๐ป
Ghosted