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Mining communities or clusters in networks is valuable in analyzing, designing, and optimizing many natural and engineering complex systems, e.g., protein networks, power grid, and transportation systems. Most of the existing techniques view the community mining problem as an optimization problem based on a given quality function(e.g., modularity), however(More)
Attributed graphs describe nodes via attribute vectors and also relationships between different nodes via edges. To partition nodes into clusters with tighter correlations, an effective way is applying clustering techniques on attributed graphs based on various criteria such as node connectivity and/or attribute similarity. Even though clusters typically(More)
Since some realistic networks are influenced not only by increment behavior but also by tunable clustering mechanism with new nodes to be added to networks, it is interesting to characterize the model for those actual networks. In this paper, a weighted local-world model, which incorporates increment behavior and tunable clustering mechanism, is proposed(More)
A total of 30 isolates of Cladosporium fulvum was collected from three provinces (Liaoning, Jilin and Heilongjiang) and the Beijing area in 2013. All isolates were tested on a set of tomato cultivars with differential genotypes against C. fulvum. New races 2.5 and 2.4.5 were identified, which have not been previously reported in China. Race 2.4.9, which had(More)
Most existing clustering approaches require the complete graph information, which is often impractical for large-scale protein-protein interaction networks. We proposed a novel algorithm which does not embrace the universal approach but instead tries to focus on local ties and model multi-scales of biological interactions in these networks. It identifies(More)
Revealing the dynamics of community structure is of great concern for scientists from many fields. Specifically, how to quantify the dynamic details of soft community structure is a very interesting topic. In this paper, the authors propose a novel framework to study the scalable dynamic behavior of the soft community structure. First, the authors model the(More)
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