Network Science with Python: Explore the networks around us using network science, social network analysis, and machine learning

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.

1142905391
Network Science with Python: Explore the networks around us using network science, social network analysis, and machine learning

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.

39.99 In Stock
Network Science with Python: Explore the networks around us using network science, social network analysis, and machine learning

Network Science with Python: Explore the networks around us using network science, social network analysis, and machine learning

by David Knickerbocker
Network Science with Python: Explore the networks around us using network science, social network analysis, and machine learning
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Network Science with Python: Explore the networks around us using network science, social network analysis, and machine learning

Network Science with Python: Explore the networks around us using network science, social network analysis, and machine learning

by David Knickerbocker

Overview

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.

Product Details

ISBN-13: 9781801075213
Publisher: Packt Publishing
Publication date: 02/28/2023
Sold by: Barnes & Noble
Format: eBook
Pages: 414
File size: 19 MB
Note: This product may take a few minutes to download.

About the Author

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.
David Knickerbocker is the chief engineer and co-founder of VAST OSINT. He has over 2 decades of rich experience working with and around data in his career, focusing on data science, data engineering, software development, and cybersecurity. During his free time, David loves to use data science for creative endeavors. He also enjoys hanging out with his family and cats. He loves to read data science books outside, in the sun.

Table of Contents

Table of Contents
  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
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