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Network Science with Python and NetworkX Quick Start Guide

You're reading from  Network Science with Python and NetworkX Quick Start Guide

Product type Book
Published in Apr 2019
Publisher Packt
ISBN-13 9781789955316
Pages 190 pages
Edition 1st Edition
Languages
Author (1):
Edward L. Platt Edward L. Platt
Profile icon Edward L. Platt

Table of Contents (15) Chapters

Preface 1. What is a Network? 2. Working with Networks in NetworkX 3. From Data to Networks 4. Affiliation Networks 5. The Small Scale - Nodes and Centrality 6. The Big Picture - Describing Networks 7. In-Between - Communities 8. Social Networks and Going Viral 9. Simulation and Analysis 10. Networks in Space and Time 11. Visualization 12. Conclusion 13. Other Books You May Enjoy Appendix

Social networks

The defining feature of social networks is that nodes represent people. The networks themselves can represent anything from small informal friend groups to entire societies.

Edges in a social network represent a type of relationship between people. Often, this relationship is friendship or communication. However, it can also be something as abstract as the similarity in their video streaming behavior. Just imagine; you might never have met someone, but you could be the only two people in the world who enjoy watching videos of sleeping hippos. That is certainly a kind of relationship!

Many of the tools of network science come from the study of social networks in sociology. The sociologists, Jacob L. Moreno and Helen Hall Jennings, developed the techniques of sociometry, a precursor to modern social network analysis and network science (Moreno And Jennings, 1934...

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