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Network Science and Statistics - Fundamentals and Applications

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There are audio issues with this video that cannot be fixed. We recommend listening to the tutorial without headphones to minimize the buzzing sound. Tutorial information may be found at https://scipy2017.scipy.org/ehome/220975/493423/

In this tutorial, we will cover the fundamentals and practical aspects of network science and how it can be used to solve problems in science and society! Outline:

Part 1: Introduction (30 min)

  • Networks of all kinds: biological, transportation.
  • Representation of networks, NetworkX data structures
  • Basic quick-and-dirty visualizations

Part 2: Hubs and Paths (40 min)

  • Finding important nodes; applications
  • Pathfinding algorithms and their applications
  • Hands-on: implementing path-finding algorithms
  • Visualize degree and betweenness centrality distributions.

Part 3: Cliques, Triangles & Structures (40 min)

  • Definition of cliques
  • Triangles as the simplest complex clique, applications
  • Using path-finding algorithms to find structures in a graph.
  • Open triangles as recommender systems.

Part 4: Bipartite Graphs (30 min)

  • Definition of bipartite graphs, applications
  • Constructing bipartite graphs in NetworkX.
  • Summary statistics of bipartite graphs

Part 5: Advanced Network Visualizations & Concepts (40 min)

  • Basic concepts in rational layouts: node positioning, node colouring.
  • Plots: Circos, Arc, Hive, Matrix, Flow plots
  • Handling large graphs using matrices.
  • Graph diffs and their application to analysis of time-variant, evolving graphs.

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