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The program aims at showing the role of modern statistical methods in complex data and serves to support interactions among mathematicians, statisticians, engineers and scientists working in the inter...
In recent years, community structure has emerged as a key component of complex network analysis. As more data has been collected, researchers have begun investigating changing community structure acro...
We introduce the heterogeneous-k-core, which generalizes the k-core, and contrast it with bootstrap percolation.
Large, complex networks are ubiquitous in nature and society, and there is great interest in developing rigorous,scalable methods for identifying and characterizing their vulnerabilities.
We propose a method for deriving networks from one-dimensional binary cellular automata. The derived networks are usually directed and have structural properties corresponding to the dynamical behavio...

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