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Graph Processing

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Academic project that computes varying distributions and summary network statistics for the Slashdot-Zoo dataset. (available here http://konect.uni-koblenz.de/networks/slashdot-zoo)

Based on Gelly, the graph-processing API of Apache Flink.

Main tasks

  • Compute and plot the in-degree and out-degree distributions (InDegreeDistribution)
  • Compute and plot the out-degree distributions for both the friend and foe nodes, individually (SignedOutDegreeDistribution)
  • Compute and report both the average degree and the maximum degree of all vertices (DegreeDistribution)
  • Identify and report the vertex with the most friends and the most foes (VertexQuery)
  • Calculate and report the average friend to foe ratio (AverageFriendFoeRatio)

It includes also a Python Notebook plotting the degree distributions.

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