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 realworld data into a complex networksuch as recommendations on cousing cosmetic products muddy hedge fund connections and online friendships. Analyze and visualize the network and make business decisions based on your analysis. If youre a curious Python programmer a data scientist or a CNA specialist interested in mechanizing mundane tasks youll increase your productivity exponentially. Complex network analysis used to be done by hand or with nonprogrammable 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 reallife 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 presentationquality network visualization tools both programmable and interactivesuch as Gephi a CNA explorer. Adapt the patterns from the case studies to your problems. Explore big networks with NetworKit a highperformance 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. What You Need Yo