# Netzschleuder network catalogue, repository and centrifuge

Problems with this dataset? Open an issue.
You may also take a look at the source code.
The networks in this dataset can be loaded directly from graph-tool with:
import graph_tool.all as gt
g = gt.collection.ns["physics_collab/pierreAuger"]

(and likewise for the other networks available.)

# physics_collab — Multilayer physicist collaborations (2015)

Description

Two multiplex networks of coauthorships among the Pierre Auger Collaboration of physicists (2010-2012) and among researchers who have posted preprints on arXiv.org (all papers up to May 2014). Layers represent different categories of publication, and an edge's weight indicates the number of reports written by the authors. These layers are one-mode projections from the underlying author-paper bipartite network1

1. Description obtained from the ICON project.

Tags
Social Collaboration Weighted Multilayer Projection
Citation
• M. De Domenico et al., "Identifying modular flows on multilayer networks reveals highly overlapping organization in interconnected systems." Physical Review X 5(1), 011027 (2015)., https://arxiv.org/abs/1408.2925
Upstream URL OK
https://manliodedomenico.com/data.php
Name Nodes Edges $\left<k\right>$ $\sigma_k$ $\lambda_h$ $\tau$ $r$ $c$ $\oslash$ $S$ Kind Mode NPs EPs gt GraphML GML csv