Skip to Main Content
Computational Network Science
book

Computational Network Science

by Henry Hexmoor
September 2014
Intermediate to advanced content levelIntermediate to advanced
128 pages
3h 13m
English
Morgan Kaufmann
Content preview from Computational Network Science
Chapter 6

Diffusion and Contagion

Abstract

Patterns of information and reference spread in networks are covered in this chapter. Percolation model is presented followed by common disease epidemic models. Latter parts of this chapter outline communities as subnetworks and methods for their identification. Micronetworks such as R&D units spanning across organizations are important informal subnetwork communities that yield much benefit to their organizations. Since they are often formed as needed, these micronetworks go undetected and community detection is useful. Node-based model is one of those models that finds other nodes that have a certain strong similarity to a node of interest. Exercises suggest analysis of common networks for diffusion ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Computational Economics: Heterogeneous Agent Modeling

Computational Economics: Heterogeneous Agent Modeling

Cars Hommes, Blake LeBaron
Computational Neuroscience

Computational Neuroscience

Diana Ivanova Stephanova, Bozhidar Dimitrov Kolev
Network Science

Network Science

Carlos Andre Reis Pinheiro

Publisher Resources

ISBN: 9780128008911