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Title: A GraphBLAS Implementation of Triangle Centrality
Identifying key members in large social network graphs is an important graph analytic. Recently, a new centrality measure called triangle centrality finds members based on the triangle support of vertices in graph. In this paper, we describe our rapid implementation of triangle centrality using Graph-BLAS, an API specification for describing graph algorithms in the language of linear algebra. We use triangle centrality’s algebraic algorithm and easily implement it using the SuiteSparse GraphBLAS library. A set of experiments on large, sparse graph datasets is conducted to verify the implementation.  more » « less
Award ID(s):
2109988
PAR ID:
10311641
Author(s) / Creator(s):
;
Date Published:
Journal Name:
The 25th Annual IEEE High Performance Extreme Computing Conference (HPEC)
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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