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Centrality Indices

  • Katharina A. ZweigEmail author
Part of the Lecture Notes in Social Networks book series (LNSN)

Abstract

Centrality indices quantify the importance of a node in a given network, which is often identified with the importance of the corresponding entity in the complex system modeled by the network. As the perceived importance is dependent on the kind of network to be analyzed, different centrality indices have been proposed over the years. This chapter gives a short overview of the most important centrality indices, a characterization of centrality indices based on graph-theory, visualization of centrality indices, and some general schemes of how centrality indices are used to analyze networks with selected examples. The main insight of the chapter is that it is necessary to carefully match a centrality index with the research question of interest to enable a meaningful interpretation of the index’ results.

Keywords

Short Path Degree Centrality Central Node Betweenness Centrality Directed Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag GmbH Austria 2016

Authors and Affiliations

  1. 1.TU Kaiserslautern, FB Computer ScienceGraph Theory and Analysis of Complex NetworksKaiserslauternGermany

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