Teaches Python-based graph and network analysis for social data—enables hands-on learning and application
Covers ego, group, and community analysis—provides versatility for various network types
Case studies on social networks like Twitter, Facebook, and GitHub—illustrates real-world applications
Suitable for interdisciplinary courses—reaches computer scientists and sociologists
Practical examples for election, health, cyber security, and information retrieval—showcases diverse use cases
Summarized by Shop
This research monograph provides the means to learn the theory and practice of graph and network analysis using the Python programming language. The social network analysis techniques, included, will help readers to efficiently analyze social data from Twitter, Facebook, LiveJournal, GitHub and many others at three levels of depth: ego, g