eBook - ePub

Complex Network Analysis in Python

Name: Complex Network Analysis in Python
ISBN: 9781680505405

Recognize ? Construct ? Visualize ? Analyze ? Interpret

Dmitry Zinoviev,

260 pages
English
ePUB (mobile friendly)
Available on iOS & Android

eBook - ePub

Complex Network Analysis in Python

Recognize ? Construct ? Visualize ? Analyze ? Interpret

Dmitry Zinoviev,

About this book

Complex network analysis used to be done by hand or with non-programmable network analysis tools, but not anymore! You can now automate and program these tasks in Python. Complex networks are collections of connected items, words, concepts, or people. By exploring their structure and individual elements, we can learn about their meaning, evolution, and resilience.

Starting with simple networks, convert real-life and synthetic network graphs into networkx data structures. Look at more sophisticated networks and learn more powerful machinery to handle centrality calculation, blockmodeling, and clique and community detection. Get familiar with presentation-quality network visualization tools, both programmable and interactive—such as Gephi, a CNA explorer. Adapt the patterns from the case studies to your problems. Explore big networks with NetworKit, a high-performance networkx substitute. Each part in the book gives you an overview of a class of networks, includes a practical study of networkx functions and techniques, and concludes with case studies from various fields, including social networking, anthropology, marketing, and sports analytics.

Combine your CNA and Python programming skills to become a better network analyst, a more accomplished data scientist, and a more versatile programmer.

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Yes, you can access Complex Network Analysis in Python by Dmitry Zinoviev in PDF and/or ePUB format, as well as other popular books in Computer Science & Programming in Python. We have over one million books available in our catalogue for you to explore.