作者
David Huffaker, Jing Wang, Jeffrey Treem, Muhammad A Ahmad, Lindsay Fullerton, Dmitri Williams, Marshall Scott Poole, Noshir Contractor
发表日期
2009/8/29
研讨会论文
2009 International Conference on Computational Science and Engineering
卷号
4
页码范围
326-331
出版商
IEEE
简介
We examine the social behaviors of game experts in Everquest II, a popular massive multiplayer online role-playing game (MMO). We rely on exponential random graph models (ERGM) to examine the anonymous privacy-protected social networks of 1,457 players over a five-day period. We find that those who achieve the most in the game send and receive more communication, while those who perform the most efficiently at the game show no difference in communication behavior from other players. Both achievement and performance experts tend to communicate with those at similar expertise levels, and higher-level experts are more likely to receive communication from other players.
引用总数
20102011201220132014201520162017201820192020202120222023856124784521524
学术搜索中的文章
D Huffaker, J Wang, J Treem, MA Ahmad, L Fullerton… - 2009 International Conference on Computational …, 2009