Network Science with Python and NetworkX Quick Start Guide

If you’re a data scientist, engineer, or computational social scientist, Network Science with Python and NetworkX Quick Start Guide will guide you in using the Python programming language to gain insights into real-world networks. Starting with the fundamentals, you’ll be introduced to the core concepts of network science, along with examples that use real-world data and Python code. (Limited-time offer)

Table of Contents

• What is a Network?
• Working with Networks in NetworkX
• From Data to Networks
• Affiliation Networks
• The Small Scale – Nodes and Centrality
• The Big Picture – Describing Networks
• In-Between – Communities
• Social Networks and Going Viral
• Simulation and Analysis
• Networks in Space and Time
• Visualization
• Conclusion

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