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» On Wireless Social Community Networks
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SOCIALCOM
2010
13 years 5 months ago
Measuring Similarity between Sets of Overlapping Clusters
The typical task of unsupervised learning is to organize data, for example into clusters, typically disjoint clusters (eg. the K-means algorithm). One would expect (for example) a...
Mark K. Goldberg, Mykola Hayvanovych, Malik Magdon...
WINET
2010
129views more  WINET 2010»
13 years 6 months ago
Characterizing 802.11 wireless link behavior
Since wireless signals propagate through the ether, they are significantly affected by attenuation, fading, multipath, and interference. As a result, it is difficult to measure ...
Glenn Judd, Peter Steenkiste
WEBI
2007
Springer
14 years 1 months ago
DENGRAPH: A Density-based Community Detection Algorithm
Detecting densely connected subgroups in graphs such as communities in social networks is of interest in many research fields. Several methods have been developed to find commun...
Tanja Falkowski, Anja Barth, Myra Spiliopoulou
CSE
2009
IEEE
13 years 11 months ago
Social Networks' XSS Worms
— Online Social Networks are communities of people who share common interests. These types of networks are used by millions of people around the world. The massive adoption of th...
Mohammad Reza Faghani, Hossein Saidi
PAKDD
2010
ACM
198views Data Mining» more  PAKDD 2010»
14 years 17 days ago
A Better Strategy of Discovering Link-Pattern Based Communities by Classical Clustering Methods
Abstract. The definition of a community in social networks varies with applications. To generalize different types of communities, the concept of linkpattern based community was pr...
Chen-Yi Lin, Jia-Ling Koh, Arbee L. P. Chen