Python for Graph and Network Analysis

  • Mohammed Zuhair Al-Taie
  • Seifedine Kadry

Part of the Advanced Information and Knowledge Processing book series (AI&KP)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Mohammed Zuhair Al-Taie, Seifedine Kadry
    Pages 1-32
  3. Mohammed Zuhair Al-Taie, Seifedine Kadry
    Pages 33-47
  4. Mohammed Zuhair Al-Taie, Seifedine Kadry
    Pages 49-64
  5. Mohammed Zuhair Al-Taie, Seifedine Kadry
    Pages 65-78
  6. Mohammed Zuhair Al-Taie, Seifedine Kadry
    Pages 79-111
  7. Mohammed Zuhair Al-Taie, Seifedine Kadry
    Pages 113-146
  8. Mohammed Zuhair Al-Taie, Seifedine Kadry
    Pages 147-164
  9. Mohammed Zuhair Al-Taie, Seifedine Kadry
    Pages 165-184
  10. Back Matter
    Pages 185-203

About this book

Introduction

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. 

Keywords

Graph Theory Information Diffusion Social Network Analysis Python Group-level Analysis

Authors and affiliations

  • Mohammed Zuhair Al-Taie
    • 1
  • Seifedine Kadry
    • 2
  1. 1.Faculty of ComputingUniversiti Teknologi MalaysiaKuala LumpurMalaysia
  2. 2.School of Engineering and TechnologyAmerican University of the Middle EastKuwait

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-53004-8
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-53003-1
  • Online ISBN 978-3-319-53004-8
  • Series Print ISSN 1610-3947
  • Series Online ISSN 2197-8441
  • About this book