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Titlebook: Complex Networks; Results of the 1st I Santo Fortunato,Giuseppe Mangioni,Vincenzo Nicosia Book 2009 Springer-Verlag Berlin Heidelberg 2009

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Detecting and Characterizing the Modular Structure of the Yeast Transcription Networkmmunities or modules sharing structural properties are also sharing some functional traits, which is a remarkable finding. Our approach could be used for helping biologists to address specific biological questions by designing hypothesis-driven experiments.
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Using Time Dependent Link Reduction to Improve the Efficiency of Topic Prediction in Co-Authorship Gnd the CAG’s link structure. For three data sets, we evaluate our algorithm in terms of classification accuracy and computational time on both the full graph . and subgraphs of it. On substantially smaller subgraphs of ., our algorithm obtains classification accuracies that are similar to the result
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Infinite-Dimensional Dynamical Systems,mong routers caused by anomalous traffic and that the emerging anomalies are easier to detect for DDoS attacks with larger number of attackers and/or on networks using static rather than dynamic routing.
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