The emerging field of Network Science is about understanding different kind of relationships. This book covers the latest version 2.x of NetworkX for performing Network Science with Python. You will also learn the fundamentals of network theory and see practical examples of how they are applied to real-world problems using Python and NetworkX.
Network science with Python and networkX quick start guide: explore and visualize network data effectively -- Dedication -- Contributors -- Table of Contents -- Preface -- Chapter 1: What is a Network? -- Chapter 2: Working with Networks in NetworkX -- Chapter 3: From Data to Networks -- Chapter 4: Affiliation Networks -- Chapter 5: The Small Scale -- Nodes and Centrality -- Chapter 6: The Big Picture -- Describing Networks -- Chapter 7: In-Between -- Communities -- Chapter 8: Social Networks and Going Viral -- Chapter 9: Simulation and Analysis -- Chapter 10: Networks in Space and Time -- Chapter 11: Visualization -- Chapter 12: Conclusion -- Appendix -- Other Books You May Enjoy -- Index.