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Fixed-Point Centrality for Networks by Gao, Shuang is a scholarly article available to read on EtoBox.

What is Fixed-Point Centrality for Networks about?

This paper proposes a family of network centralities called fixed-point centralities. This centrality family is defined via the fixed point of permutation equivariant mappings related to the underlying network. Such a centrality notion is immediately extended to define fixed-point centralities for infinite graphs characterized by graphons. Variation bounds of such centralities with respect to the variations of the underlying graphs and graphons under mild assumptions are established. Fixed-point centralities connect with a variety of different models on networks including graph neural networks, static and dynamic games on networks, and Markov decision processes.

Author

Gao, Shuang

Published

2022

Language

EN