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» Empirical comparison of algorithms for network community det...
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IPPS
2010
IEEE
13 years 5 months ago
A general algorithm for detecting faults under the comparison diagnosis model
We develop a widely applicable algorithm to solve the fault diagnosis problem in certain distributed-memory multiprocessor systems in which there are a limited number of faulty pr...
Iain A. Stewart
INFORMATICALT
2011
170views more  INFORMATICALT 2011»
13 years 2 months ago
Community Detection Through Optimal Density Contrast of Adjacency Matrix
Detecting communities in real world networks is an important problem for data analysis in science and engineering. By clustering nodes intelligently, a recursive algorithm is desig...
Tianzhu Liang, Kwok Yip Szeto
WAW
2009
Springer
138views Algorithms» more  WAW 2009»
14 years 2 months ago
Information Theoretic Comparison of Stochastic Graph Models: Some Experiments
The Modularity-Q measure of community structure is known to falsely ascribe community structure to random graphs, at least when it is naively applied. Although Q is motivated by a ...
Kevin J. Lang
AAAI
2012
11 years 10 months ago
A Spin-Glass Model for Semi-Supervised Community Detection
Current modularity-based community detection methods show decreased performance as relational networks become increasingly noisy. These methods also yield a large number of divers...
Eric Eaton, Rachael Mansbach
EWSN
2010
Springer
14 years 4 months ago
Selective Reprogramming of Mobile Sensor Networks through Social Community Detection
Abstract. We target application domains where the behavior of animals or humans is monitored using wireless sensor network (WSN) devices. The code on these devices is updated frequ...
Bence Pásztor, Luca Mottola, Cecilia Mascol...