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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)
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)
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)
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)
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