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» Predicting Interests of People on Online Social Networks
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77
Voted
KDD
2009
ACM
179views Data Mining» more  KDD 2009»
15 years 4 months ago
Identifying graphs from noisy and incomplete data
There is a growing wealth of data describing networks of various types, including social networks, physical networks such as transportation or communication networks, and biologic...
Galileo Mark S. Namata Jr., Lise Getoor
CSE
2009
IEEE
15 years 1 months ago
Equilibria and Efficiency Loss in Games on Networks
Social networks are the substrate upon which we make and evaluate many of our daily decisions: our costs and benefits depend on whether--or how many of, or which of--our friends ar...
Joshua R. Davis, Zachary Goldman, Jacob Hilty, Eli...
AOIS
2006
14 years 11 months ago
ToothAgent: A Multi-agent System for Virtual Communities Support
People tend to form social networks within geographical areas. This can be explained by the fact that generally geographical localities correspond to common interests (e.g. studen...
Volha Bryl, Paolo Giorgini, Stefano Fante
84
Voted
MM
2009
ACM
147views Multimedia» more  MM 2009»
15 years 2 months ago
Wearing a YouTube hat: directors, comedians, gurus, and user aggregated behavior
While existing studies on YouTube’s massive user-generated video content have mostly focused on the analysis of videos, their characteristics, and network properties, little att...
Joan-Isaac Biel, Daniel Gatica-Perez
ISI
2008
Springer
14 years 9 months ago
Real time intrusion prediction, detection and prevention programs
An Intrusion Detection Program (IDP) analyzes what happens or has happened during an execution and tries to find indications that the computer has been misused. In this talk, we p...
A. Abraham