Titlebook: Complex Networks VI; Proceedings of the 6 Giuseppe Mangioni,Filippo Simini,Dashun Wang Conference proceedings 2015 Springer International P

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Categorical Framework for Complex Organizational Networks: Understanding the Effects of Types, Sizeenable modelers to account for many structural and attributional elements of organizations in ways that can be more powerful than statistical data mining methods or stochastic models. However, the price paid for this increased modeling strength can come in the form of increased complexity, sensitivi

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https://doi.org/10.1007/978-1-4613-4115-4k motifs are inefficient simply due to the inherent complexity of this task. In recent years, researchers are considering approximate methods that save computation by sacrificing exact counting of the frequency of potential motifs. However, these methods are also slow when one considers the motifs o

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