David Knickerbocker

Network Science with Python (eBook, ePUB)

Explore the networks around us using network science, social network analysis, and machine learning

• Format: ePub

Produktbeschreibung

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.

Produktdetails

• Verlag: Packt Publishing
• Seitenzahl: 414
• Erscheinungstermin: 28. Februar 2023
• Englisch
• ISBN-13: 9781801075213
• Artikelnr.: 70296202

Autorenporträt

David Knickerbocker is the chief engineer and co-founder of VAST-OSINT. He has over two decades of rich experience working with and around data in his career, with his focus being on data science, data engineering, software development, and cybersecurity.