Python for Graph and Network Analysis is popular PDF and ePub book, written by Mohammed Zuhair Al-Taie in 2017-03-20, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Python for Graph and Network Analysis can be Read Online from any device for your convenience.

Python for Graph and Network Analysis Book PDF Summary

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, group, and community. They will be able to analyse militant and revolutionary networks and candidate networks during elections. For instance, they will learn how the Ebola virus spread through communities. Practically, the book is suitable for courses on social network analysis in all disciplines that use social methodology. In the study of social networks, social network analysis makes an interesting interdisciplinary research area, where computer scientists and sociologists bring their competence to a level that will enable them to meet the challenges of this fast-developing field. Computer scientists have the knowledge to parse and process data while sociologists have the experience that is required for efficient data editing and interpretation. Social network analysis has successfully been applied in different fields such as health, cyber security, business, animal social networks, information retrieval, and communications.

Detail Book of Python for Graph and Network Analysis PDF

Python for Graph and Network Analysis
  • Author : Mohammed Zuhair Al-Taie
  • Release : 20 March 2017
  • Publisher : Springer
  • ISBN : 9783319530048
  • Genre : Computers
  • Total Page : 214 pages
  • Language : English
  • PDF File Size : 14,7 Mb

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