Centrality Indices

By Dirk Koschützki, K. Zweig, L. Peeters, S. Richter, Dagmar Tenfelde-Podehl, Oliver Zlotowski. Network Analysis, 2004

377 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Centrality Analysis Methods for Biological Networks and Their Application to Gene Regulatory Networks (2008, methodology): “Centrality analysis, the ranking of network elements used to identify interesting elements of a network is one of these methods (Koschützki et al. (2005)).”
Global technological collaboration network: network analysis of international co-inventions (2012, background): “Closeness centrality informs how powerful a node is in terms of the shortest paths to others actors of the network (Koschützki et al. 2005).”
Centrality Estimation in Large Networks (2007, methodology): “For those based on shortest-path distances the computation is at least quadratic in the number of nodes, since it usually involves solving the single-source shortest-paths (SSSP) problem from every node.”
The time-evolving epileptic brain network: concepts, definitions, accomplishments, perspectives (2024, background): “These metrics evaluate a constituent according to the various roles it can play in a network [for an overview see, e.g., Koschützki et al. (2005); Kuhnert et al. (2012); Bröhl and Lehnertz (2019)].”