Network analysis is often taught with tiny or toy data sets, leaving you with a limited scope of learning and practical usage. Network Science with Python helps you extract relevant data, draw conclusions and build networks using industry-standard – practical data sets. You’ll begin by learning the basics of natural language processing, network science, and social network analysis, then move on to programmatically building and analyzing networks. You’ll get a hands-on understanding of the data source, data extraction, interaction with it, and drawing insights from it. This is a hands-on book with theory grounding, specific technical, and mathematical details for future reference. As you progress, you’ll learn to construct and clean networks, conduct network analysis, egocentric network analysis, community detection, and use network data with machine learning. You’ll also explore network analysis concepts, from basics to an advanced level.
By the end of the book, you’ll be able to identify network data and use it to extract unconventional insights to comprehend the complex world around you.

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Spis treści

Network Science with Python. Explore the networks around us using network science, social network analysis, and machine learning eBook -- spis treści

• 1. Introducing Natural Language Processing
• 2. Network Analysis
• 3. Useful Python Libraries
• 4. NLP and Network Synergy
• 5. Even Easier Scraping
• 6. Graph Construction and Cleaning
• 7. Whole Network Analysis
• 8. Egocentric Network Analysis
• 9. Community Detection
• 10. Supervised Machine Learning on Network Data
• 11. Unsupervised Machine Learning on Network Data