How to compute the Betweenness Centrality against Nebula Graph

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Science and Data analysis Python complex-networks graph-theory graph-algorithms

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  • nebula-algorithm

    Nebula-Algorithm is a Spark Application based on GraphX, which enables state of art Graph Algorithms to run on top of NebulaGraph and write back results to NebulaGraph.

    • The Betweenness Centrality against Nebula Graph has achieved the algorithms for both weighted and unweighted graphs. For the code, see https://github.com/vesoft-inc/nebula-algorithm/blob/master/nebula-algorithm/src/main/scala/com/vesoft/nebula/algorithm/lib/BetweennessCentralityAlgo.scala.

  • NetworkX

    Network Analysis in Python

    • Paper: A Faster Algorithm for Betweenness Centrality The source code of Python’s NetworkX realizing Betweenness Centrality: https://github.com/networkx/networkx/blob/master/networkx/algorithms/centrality

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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