Day 1: Monday, June 21, 10:00-13:00 (Eastern Time)
Module 1: Getting started with NetworkX
– Loading random and real networks using NetworkX
– Describing the statistics of a network at multiple levels (ego and dyad levels)
Module 2: Degrees and mixing patterns
– Analyzing the degree distribution of a network
– Mixing patterns (assortativity)
– Detecting communities in networks
Module 3: Network descriptives and basic visualizations
– Describing the statistics of a network at multiple levels (triad, subgroups, network levels)
– Operations on networks
– Visualizing a network using NetworkX
Day 2: Tuesday, June 22, 10:00-13:00 (Eastern Time)
Module 4: Analyzing signed directed networks I
– Operations on directed and signed networks
– Evaluating micro-level balance
Module 5: Graph optimization
– Solving graph optimization problems using Gurobi in Jupyter
Module 6: Analyzing signed directed networks II
– Evaluating meso-level balance
– Evaluating macro-level balance