Machine Learning/Kaggle Social Network Contest/Network Description

From Noisebridge
Jump to: navigation, search

Here we can put the descriptive statistics of the network:

  • Number of fully sampled nodes: 37,689
    • ie the unique "outnodes" in the edge list
  • Total number of nodes: 1,133,547
  • number of edges: 7,237,983
  • The Graph is not weakly connected! This means that it can be broken down into at least two discrete subgraphs.
  • Diameter of the directed graph
    • This is the longest of the shortest directed paths between two nodes
    • R igraph
      • diameter (dg, directed = TRUE, unconnected = TRUE)
      • Was taking forever so I aborted (after 34 minutes...)
  • Total number of direct neighbours out: 7 275 672, in: 508 688, all: 7 473 273
    • For each of our 38k I calculated the number of outbound neighbours and summed it
    • R igraph:
      • sum(neighborhood.size(dg, 1, nodes=myGuys, mode="out"))
      • mode = "in", "out" or "all"
Personal tools