Zinoviev Dmitry - Complex Network Analysis In Python - Paperback

Binding: Paperback
Description: Construct analyze and visualize networks with networkx a Python language module. Network analysis is a powerful tool you can apply to a multitude of datasets and situations. Discover how to work with all kinds of networks including social product temporal spatial and semantic networks. Convert almost any real - world data into a complex network - - such as recommendations on co - using cosmetic products muddy hedge fund connections and online friendships. Analyze and visualize the network and make business decisions based on your analysis. If you're a curious Python programmer a data scientist or a CN a specialist interested in mechanizing mundane tasks you'll increase your productivity exponentially. 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 CN a explorer. Adapt the patterns from the case studies to your problems. Explore big networks with Networ Kit 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 CN a and Python programming skills to become a better network analyst a more accomplished data scientist and a more versatile programmer. What You Need: You will need a Python 3. x installation with the following additional modules: Pandas (>=0.18) Num Py (>=1.10) matplotlib (>=1.5) networkx (>=1.11) python - louvain (>=0.5) Networ Kit (>=3.6) and generalizesimilarity. We recommend using the Anaconda distribution that comes with all these modules except for python - louvain Networ Kit and generalizedsimilarity and works on all major modern operating systems.
Title: Complex Network Analysis In Python
Author(s): Zinoviev Dmitry
Publisher: The Pragmatic Programmers
Barcode: 9781680502695
Pages: 262 Pages
Publication Date: 2/27/2018
Category: Information Visualization