Abstract: In this paper we present and evaluate a parallel community detection algorithm derived from the state-of-the-art Louvain modularity maximization method. Our algorithm adopts a novel graph ...

In collaboration with the Institute of Classical Studies, we are delighted to launch a new seminar series titled Shared Horizons: A Dialogue Between Classical Archaeology and Archaeological Science.

Python bindings for the DF-Louvain algorithm, a "Fast Incrementally Expanding Approach for Community Detection on Dynamic Graphs," originally implemented in C++ with OpenMP. This package allows Python ...

Since October 2020, the R package igraph contains the function cluster_leiden() implemented by Vincent Traag (@vtraag). The usage of this function is detailed in the igraph documentation here. We ...

Conservation management for a species generally rests on intraspecific units, while identification of their geographic boundaries is necessary for the implementation. Intraspecific units can be ...

The past decade has been marked with a proliferation of community detection algorithms that aim to organize nodes (e.g., individuals, brain regions, variables) into modular structures that indicate ...

Abstract: In this paper we present and evaluate a parallel community detection algorithm derived from the state-of-the-art Louvain modularity maximization method. Our algorithm adopts a novel graph ...