@inproceedings{d9f595e4e3d54015b18b493fb30a8a25,
title = "The social behaviors of experts in massive multiplayer online role-playing games",
abstract = "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 higherlevel experts are more likely to receive communication from other players.",
keywords = "Communication systems, Games, Networks, Social factors",
author = "David Huffaker and Jing Wang and Jeffrey Treem and Lindsay Fullerton and Poole, {Marshall Scott} and Ahmad, {Muhammad A.} and Dmitri Williams and Noshir Contractor",
year = "2009",
doi = "10.1109/CSE.2009.13",
language = "English (US)",
isbn = "9780769538235",
series = "Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009",
pages = "326--331",
booktitle = "Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009 - 2009 IEEE International Conference on Social Computing, SocialCom 2009",
note = "2009 IEEE International Conference on Social Computing, SocialCom 2009 ; Conference date: 29-08-2009 Through 31-08-2009",
}