Seattle / Lake Buena Vista / Tokyo / New York City / Brussels / /
Company
ACM Press / LiveJournal / Prentice-Hall Inc. / Extracting Social Networks / AOL / /
Country
United States / / /
Facility
Rochester Institute of Technology Rochester / /
IndustryTerm
buddy lists / client software / instant messaging services / us with extensive social network / online state / telephone conversation / communications service / instant message mining / data mining / attempt solutions / k-means clustering algorithm / sub-optimal solution / instant messaging network / data mining perspective / party social-networking web sites / algorithmic solutions / dynamical systems / communication media / online status / telephone networks / party social network / Online Times Transitioned / link social network / party web site / knowledge-sharing networks / Online vs. Neighbors / large-scale social networks / information technology / Telephone call monitoring / Internet service traffic / online presence / mining / social networks / Online Time Online / social network / instant messaging networks / instant messaging protocol / different media / Information-theoretic co-clustering algorithms / /
OperatingSystem
Microsoft Vista / /
Organization
G8 / Rochester Institute of Technology Rochester / Laboratory for Applied Computing / American Statistical Association / US Government / European Union / Council of Europe / Ankur Teredesai Center for Discovery Informatics / /
Person
John Resig / Buena Vista / Morgan Kaufmann / T. Armour / Christopher M. Homan / /
Position
model this relationship / Senator / and K. Numrych / author / Instant Messenger / /
ProvinceOrState
New York / Washington / Florida / /
PublishedMedium
Communications of the ACM / Journal of the American Statistical Association / /
Technology
Information-theoretic co-clustering algorithms / information technology / clustering algorithm / Instant messaging / k-means clustering algorithm / IM technology / data mining / instant messaging protocol / /
Extracting Social Networks from Instant Messaging Populations John Resig, Santosh Dawara, Christopher M. Homan, and Ankur Teredesai Center for Discovery Informatics, Laboratory for Applied Computing, Rochester Institute