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Showing 1 to 3 of 3 for “"community detection, complex networks"”.
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Community Detection in Complex Networks
… an ensemble learning scheme and a new metric for community detection in complex networks. The scheme uses a Machine Learning algorithmic paradigm we call Extremal EnsembleLearning. It uses iterative extremal updating of an ensemble of network partitions, which can be found by a conventional base …
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Physical Models in Community Detection with Applications to Identifying Structure in Complex Amorphous Systems
… Potts model for the graph theoretic problem of community detection. With a simple algorithm, we find that our approach is exceptionally accurate, robust to the effects of noise, and competitive with the best currently available algorithms in terms of speed and the size of solvable systems. Being …
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IDLE: A Novel Approach to Improving Overlapping Community Detection in Complex Networks
Complex systems in areas such as biology, physics, social science, and technology are extensively modeled as networks due to the rich set of tools available for their study and analysis. In such networks, groups of nodes that correspond to functional units or those that share some common attributes …