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» Social Networks: An Introduction
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KDD
2009
ACM
180views Data Mining» more  KDD 2009»
16 years 2 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy
IDA
2009
Springer
14 years 11 months ago
Mining the Temporal Dimension of the Information Propagation
In the last decade, Social Network Analysis has been a field in which the effort devoted from several researchers in the Data Mining area has increased very fast. Among the possibl...
Michele Berlingerio, Michele Coscia, Fosca Giannot...
MOBISEC
2009
Springer
15 years 8 months ago
Filtering SPAM in P2PSIP Communities with Web of Trust
Spam is a dominant problem on email systems today. One of the reasons is the lack of infrastructure for security and trust. As Voice over IP (VoIP) communication becomes increasing...
Juho Heikkilä, Andrei Gurtov
ACMICEC
2006
ACM
191views ECommerce» more  ACMICEC 2006»
15 years 7 months ago
An ontology of trust: formal semantics and transitivity
This paper formalizes the semantics of trust and studies the transitivity of trust. On the Web, people and software agents have to interact with “strangers”. This makes trust ...
Jingwei Huang, Mark S. Fox
169
Voted
ESA
2007
Springer
153views Algorithms» more  ESA 2007»
15 years 5 months ago
Tradeoffs and Average-Case Equilibria in Selfish Routing
We consider the price of selfish routing in terms of tradeoffs and from an average-case perspective. Each player in a network game seeks to send a message with a certain length by...
Martin Hoefer, Alexander Souza