• Corpus ID: 233481923

Triangle Centrality

@article{Burkhardt2021TriangleC,
  title={Triangle Centrality},
  author={Paul Burkhardt},
  journal={ArXiv},
  year={2021},
  volume={abs/2105.00110}
}
Triangle centrality is introduced for finding important vertices in a graph based on the concentration of triangles surrounding each vertex. An important vertex in triangle centrality is at the center of many triangles, and therefore it may be in many triangles or none at all. Given a simple, undirected graph G = (V,E), with n = |V | vertices and m = |E| edges, where N(v) is the neighborhood set of v, N△(v) is the set of neighbors that are in triangles with v, and N + △(v) is the closed set… 
A GraphBLAS Implementation of Triangle Centrality
  • Fuhuan Li, D. Bader
  • Computer Science
    2021 IEEE High Performance Extreme Computing Conference (HPEC)
  • 2021
TLDR
This paper describes the rapid implementation of triangle centrality using Graph-BLAS, an API specification for describing graph algorithms in the language of linear algebra, and uses Triangle centrality’s algebraic algorithm to implement it using the SuiteSparse GraphBLAS library.

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