Network Analysis with Python

Document Outline

• Slide 1
• Outline
• 1. Introduction to NetworkX
• Introduction: networks are everywhere…
• Introduction: why Python?
• Introduction: Python’s Holy Trinity
• Introduction: NetworkX
• Introduction: when to use NetworkX
• Introduction: a quick example
• Introduction: drawing and plotting
• Introduction: NetworkX official website
• 2. Getting started with Python and NetworkX
• Getting started: the environment
• Getting started: adding nodes
• Getting started: node objects
• Getting started: adding edges
• Getting started: accessing nodes and edges
• Getting started: Python dictionaries
• Getting started: graph attributes
• Getting started: node and edge iterators
• Getting started: directed graphs
• Getting started: graph operators
• Getting started: graph generators
• Getting started: graph input/output
• Getting started: drawing graphs
• 3. Basic network analysis
• Basic analysis: the Cambridge place network
• Basic analysis: graph properties
• Basic analysis: degree distribution
• Basic analysis: degree distribution
• Basic analysis: degree distribution
• Basic analysis: clustering coefficient
• Basic analysis: node centralities
• Basic analysis: most central nodes
• Basic analysis: interpretability
• Basic analysis: most central nodes
• Basic analysis: drawing our network
• Basic analysis: working with JSON data
• 4. Writing your own code
• Writing your own code: BFS
• Writing your own code: network triads
• Writing your own code: average neighbours’ degree
• 5. Ready for your own analysis!
• What you have learnt today
• Useful links
• Questions?