The role of the backchannel in collaborative learning environments
ICLS '06 Proceedings of the 7th international conference on Learning sciences
Communication networks in geographically distributed software development
Proceedings of the 2008 ACM conference on Computer supported cooperative work
A new cognition-based chat system for avatar agents in virtual space
VRCAI '08 Proceedings of The 7th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry
Automatic extraction of social networks by topics of interest
International Journal of Computer Applications in Technology
Extracting and visualizing trust relationships from online auction feedback comments
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Opinion and Relationship Mining in Online Forums
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Social language network analysis
Proceedings of the 2010 ACM conference on Computer supported cooperative work
Stakeholder detection for online debates
Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services
Discovery of online game user relationship based on co-occurrence of words
ICEC'06 Proceedings of the 5th international conference on Entertainment Computing
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Internet Relay Chat is a system that allows groups of people to collaborate and chat from anywhere in the world. Clearly defined by several RFC documents, it is arguably the most standard real-time chat system currently in use. This paper describes a method of inferring the social network of a group of IRC users in a channel. An IRC bot is used to monitor a channel and perform a heuristic analysis of events to create a mathematical approximation of the social network. From this, the bot can produce a visualization of the inferred social network on demand. These visualizations reveal the structure of the social network, highlighting connectivity, clustering and strengths of relationships between users. Animated output allows viewers to see the evolution of the social network over time. Some novel ideas for future work are discussed, showing other useful applications of this system.