Evolving graph statistics

Intermediate Network Analysis in Python

Eric Ma

Data Carpentry instructor and author of nxviz package

Evolving graph statistics

  • Graph summary statistics:
    • Number of nodes
    • Number of edges
    • Degree distribution
    • Centrality distributions
Intermediate Network Analysis in Python

Evolving graph statistics

ch3-2.009.png

Intermediate Network Analysis in Python

Evolving graph statistics

  • For simple metrics, use edgelist data
  • For graph theoretic metrics, use graph object
Intermediate Network Analysis in Python

Cumulative distribution

  • Compact way of representing the distribution of values

ch3-2.015.png

Intermediate Network Analysis in Python

Cumulative distribution

  • Compact way of representing the distribution of values

ch3-2.016.png

Intermediate Network Analysis in Python

Cumulative distribution

  • Compact way of representing the distribution of values

ch3-2.017.png

Intermediate Network Analysis in Python

Let's practice!

Intermediate Network Analysis in Python

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