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» Predicting Interests of People on Online Social Networks
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GROUP
2003
ACM
15 years 2 months ago
Studying the effect of similarity in online task-focused interactions
Although the Internet provides powerful tools for social interactions, many tasks—for example, information-seeking—are undertaken as solitary activities. Information seekers a...
Dan Cosley, Pamela J. Ludford, Loren G. Terveen
ICPADS
2010
IEEE
14 years 7 months ago
Bandwidth- and Latency-Aware Peer-to-Peer Instant Friendcast for Online Social Networks
Online Social Networks (OSNs) are more and more popular recently; people may through them interact with each other for the purpose of social intercourse. The client/server OSN arch...
Jehn-Ruey Jiang, Chao-Wei Hung, Jih-Wei Wu
SIGSOFT
2008
ACM
15 years 10 months ago
Predicting failures with developer networks and social network analysis
Software fails and fixing it is expensive. Research in failure prediction has been highly successful at modeling software failures. Few models, however, consider the key cause of ...
Andrew Meneely, Laurie Williams, Will Snipes, Jaso...
107
Voted
ICDM
2010
IEEE
193views Data Mining» more  ICDM 2010»
14 years 7 months ago
Supervised Link Prediction Using Multiple Sources
Link prediction is a fundamental problem in social network analysis and modern-day commercial applications such as Facebook and Myspace. Most existing research approaches this pro...
Zhengdong Lu, Berkant Savas, Wei Tang, Inderjit S....
CHI
2007
ACM
15 years 1 months ago
A familiar face(book): profile elements as signals in an online social network
Using data from a popular online social network site, this paper explores the relationship between profile structure (namely, which fields are completed) and number of friends, gi...
Cliff Lampe, Nicole Ellison, Charles Steinfield