Kirman, Ben and Lawson, Shaun (2009) Hardcore classification: identifying play styles in social games using network analysis. Lecture Notes in Computer Science, 5709 . pp. 246-251. ISSN 0302-9743
Full content URL: http://www.springerlink.com/content/6406l277740284...
This is the latest version of this item.
|Item Status:||Live Archive|
In the social network of a web-based online game, all players are not equal. Through network analysis, we show that the community of players in a online social game is an example of a scale free small world network and that the growth of the player-base obeys a power law.
The community is centred around a minority group of ``hardcore" players who define the social environment for the game, and without whom the social network would collapse. Methods are discussed for identifying this critically important subset of players automatically through analysing social behaviours within the game.
|Keywords:||Social Networks, Online Games, Network Analysis, Hardcore Players, Game Communities|
|Subjects:||G Mathematical and Computer Sciences > G440 Human-computer Interaction|
|Divisions:||College of Science > School of Computer Science|
|Deposited On:||10 Feb 2010 14:01|
Available Versions of this Item
- Hardcore classification: identifying play styles in social games using network analysis. (deposited 10 Feb 2010 14:01) [Currently Displayed]
Repository Staff Only: item control page