Description:

Library that provides an ability to do manipulations and computations of the graph using Spark and GraphX. Using features provided you can easily load your graph from CSV (more formats like GraphML are planned) and compute well-known measures like Katz centrality, Eigenvector centrality, Local clustering and others. There is a possibility to use the Fastutil library for storing data so that memory consumption can be reduced.

Changes to previous version:

Graph partitioning methods APSP approximation method Performance improvements License change Bug fixes

BibTeX Entry: Download

Corresponding Paper BibTeX Entry: Download

Supported Operating Systems: Platform Independent

Data Formats: Csv, Graphml

Tags: Graph, Distributed, Big Data, Social Network Analysis

Archive: download here

Other available revisons

Version	Changelog	Date
0.0.7	Graph partitioning methods APSP approximation method Performance improvements License change Bug fixes	May 22, 2017, 15:29:28
0.0.6	Bug fixes, Graph generators	June 17, 2016, 14:49:46
0.0.5	Link prediction Community detection Full graph measures Edges measures GraphML support	April 15, 2016, 20:16:55
0.0.4	Initial Announcement on mloss.org.	March 8, 2016, 12:53:00

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