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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 What is a Network? Working with Networks in NetworkX From Data to Networks Affiliation Networks The Small Scale - Nodes and Centrality The Big Picture - Describing Networks In-Between - Communities Social Networks and Going Viral Simulation and Analysis Networks in Space and Time Visualization Conclusion Other Books You May Enjoy Appendix

Contagion – how things spread

So far, it's been a lot of fun calculating numbers and arranging them into nifty little tables, but what's the point? It turns out that properties such as clustering and path length are incredibly important for social processes! In particular, they're important for contagion: the spread of ideas, disease, or anything else that moves from person to person. Understanding how network structure influences the spread of diseases and ideas makes it possible to

Simple contagion

A simple contagion is a social process in which each individual becomes infected after a single exposure. Simple contagions are good models for highly contagious diseases, or the spread of uncontroversial...

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