A gentle introduction to network science: Dr Renaud Lambiotte, University of Oxford

The language of networks and graphs has become a ubiquitous tool to analyse systems in domains ranging from biology to physics and from computer science to sociology. Renaud will present important properties observed in real-life networked systems, as well as tools to understand and model their structures. #datascienceclasses 00:00 Talk Overview 00:38 Complex Systems Patterns 03:39 Why Networks Matter 08:05 Networks And Data 10:14 Network Basics Matrices 14:39 Degree Distributions Hubs 17:56 Random Graph Models 24:47 Configuration Model 30:23 Growing Networks Mechanisms 33:43 Beyond Degree Metrics 44:20 Community Detection Intro 46:19 Zoomable Wikipedia Map 49:20 Multiscale Network Views 49:57 Clusters Predict Metadata 51:43 Karate Club Trophy 53:23 Communities And Percolation 56:21 Partitioning And Cut Size 01:01:44 Spectral Cut Relaxation 01:08:00 Modularity Defined 01:13:40 Spectral Modularity Split 01:18:09 Louvain Greedy Scaling 01:24:57 Evaluating Community Methods 01:32:28 Modularity Pitfalls 01:35:17 Beyond Modularity Wrap Up