CHI '04 Extended Abstracts on Human Factors in Computing Systems
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Hiding and revealing in online poker games
CSCW '04 Proceedings of the 2004 ACM conference on Computer supported cooperative work
Making space for stories: ambiguity in the design of personal communication systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The bubble cursor: enhancing target acquisition by dynamic resizing of the cursor's activation area
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Homophily in online dating: when do you like someone like yourself?
CHI '05 Extended Abstracts on Human Factors in Computing Systems
ACM SIGGROUP Bulletin - Special issue on online learning communities
Motivating participation by displaying the value of contribution
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Ranking factors of team success
Proceedings of the 22nd international conference on World Wide Web companion
| Hi-index | 0.00 |
Cooperation and competition are important subjects in social and economical studies. Similar dynamics exists in large-scale online communities. In this paper, we present a quantitative study on the cooperation and competition dynamics of an online gaming community. During a period of four months, we collected a total of over one million data points in an open game room with an online gaming site (www.ourgame.com.cn) for a popular card game "upgrade". The "upgrade" game room provided us an excellent environment to observe how cooperative and competitive relationships are formed in an online community. Through the statistical analysis, we obtain the probability for players with different score tags forming cooperative and competitive relationships with each other. Our analysis shows that all players exhibit preferential bias in their partner selection process, but shows little bias in their selection of competitors. Further, the cooperation bias is the strongest in both the low score and high score ends of the player population. We also discuss the effect of such preferential bias on the population distributions in the game community. To our knowledge, this is the first large-scale quantitative study on the cooperation dynamics in online gaming community. The online game community environment offers us a great proxy to study the same dynamics that is difficult to investigate in the real world social environment. The large, statistically significant amount of data enables us to develop and test many hypotheses.