Modern Graph Theory Algorithms with Python
Modern Graph Theory Algorithms with Python
Harness the power of graph algorithms and real-world network applications using Python
About the Book
We are living in the age of big data, and scalable solutions are a necessity. Network science leverages the power of graph theory and flexible data structures to analyze big data at scale. This book guides you through the basics of network science, showing you how to wrangle different types of data (such as spatial and time series data) into network structures. You’ll be introduced to core tools from network science to analyze real-world case studies in Python. As you progress, you’ll find out how to predict fake news spread, track pricing patterns in local markets, forecast stock market crashes, and stop an epidemic spread. Later, you’ll learn about advanced techniques in network science, such as creating and querying graph databases, classifying datasets with graph neural networks (GNNs), and mining educational pathways for insights into student success. Case studies in the book will provide you with end-to-end examples of implementing what you learn in each chapter. By the end of this book, you’ll be well-equipped to wrangle your own datasets into network science problems and scale solutions with Python.
About the Author
Table of Contents
- What is a Network?
- Wrangling Data into Networks with NetworkX and igraph
- Demographic Data
- Transportation Data
- Ecological Data
- Stock Market Data
- Goods Prices/Sales Data
- Dynamic Social Networks
- Machine Learning for Networks
- Pathway Mining
- Mapping Language Families – an Ontological Approach
- Graph Databases
- Putting It All Together
- New Frontiers
About the Publisher
This book is published on Leanpub by Packt Publishing Ltd
Packt Publishing are an established global technical learning content provider, founded in Birmingham, UK with over twenty years’ experience in delivering premium rich content from ground-breaking authors on a wide range of emerging and popular technologies. Our titles have global relevance our multimedia portfolio includes over 9,000 books, e-books, audiobooks and video courses. www.packtpub.com
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