Python for Graph and Network Analysis

• Κύριοι συγγραφείς: Al-Taie, Mohammed Zuhair (Συγγραφέας), Kadry, Seifedine (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: Advanced Information and Knowledge Processing,
• Θέματα: Computer science.; Computer system failures.; Application software.; Computer Science.; System Performance and Evaluation.; Computer Appl. in Social and Behavioral Sciences.; Information Systems Applications (incl. Internet).; Python.

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...

Πίνακας περιεχομένων:

• Theoretical Concepts of Network Analysis
• Network Basics
• Graph Theory
• Social Networks
• Node-Level Analysis
• Group-Level Analysis
• Network-Level Analysis
• Information Diffusion in Social Networks
• Appendix A: Python Tutorial
• Appendix B: NetworkX Tutorial.