Network Centrality: An Introduction

  • Francisco Aparecido Rodrigues
Part of the Nonlinear Systems and Complexity book series (NSCH, volume 22)


Centrality is a key property of complex networks that influences the behavior of dynamical processes, like synchronization and epidemic spreading, and can bring important information about the organization of complex systems, like our brain and society. There are many metrics to quantify the node centrality in networks. Here, we review the main centrality measures and discuss their main features and limitations. The influence of network centrality on epidemic spreading and synchronization is also pointed out in this chapter. Moreover, we present the application of centrality measures to understand the function of complex systems, including biological and cortical networks. Finally, we discuss some perspectives and challenges to generalize centrality measures for multilayer and temporal networks.



The author thanks José Fernando Fontanari for useful comments. This work was funded in part by CNPq (grant 305940/2010-4) and FAPESP (grants 2016/25682-5 and grants 2013/07375-0).


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Instituto de Ciências Matemáticas e de ComputaçãoUniversidade de São PauloSão CarlosBrazil

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