Complex Network Analysis in Python

This book is an excellent read for anyone who wants to learn the fundamentals of complex network analysis with a focus on application. The case studies cover a variety of topics and help readers link concepts to applications, providing readers with a clear, well-structured, hands-on experience that deepens their understanding of the concepts without requiring Python programming experience. This book is intended for graduate and undergraduate students, complex data analysis (CNA) or social network analysis (SNA) instructors, and CNA/SNA researchers and practitioners. The book assumes that you have some background in computer programming—namely, in Python programming. It expects from you no more than common sense knowledge of complex networks. The intention is to build up your CNA programming skills and at the same time educate you about the elements of CNA itself. If you’re an experienced Python programmer, you can devote more attention to the CNA techniques. On the contrary, if you’re a network analyst with less than an excellent background in Python programming, your plan should be to move slowly through the dark woods of data frames and list comprehensions and use your CNA intuition to grasp programming concepts.