Resources associated with the workshop run by Heather Yorston and Des Higham
School of Mathematics , University of Edinburgh
-
Interactive
disease simulation model
from the
University of Graz
-
An article about Euler and
the bridges:
The Truth About Konigsberg,
by Brian Hopkins and Robin Wilson,
The College Mathematics Journal, Vol. 35 (2004), pp. 198-207.
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Resources on
disease modelling
from University of Cambridge
-
Material on
graph theory
from Mathigon
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Info (including a video) about
Bloom's
Whisper
tool for analysing social media data
-
Cleve's Corner article from 2002 on
Google's PageRank algorithm:
The World's Largest Matrix Computation
-
An introductory article on Pagerank:
The sleekest link algorithm,
D. J. Higham and A. Taylor, The Institute of Mathematics and Its Applications (IMA) Mathematics Today, 39, 2003, 192-197.
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A couple of short videos:
Milgram's small world experiment
and
Small world networks
-
Khan Academy video on
matrix multiplication (not just for use in graph theory)
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A group at University of Oxford explain how they
Teach Network Science to Teenagers,
Heather A. Harrington, M.B.D., M. Puck Rombach, Laura M. Keating, Mason A. Porter, Network Science Volume 1, pp 226-247 (2013)
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Info about Barabasi's network science book:
Linked: How Everything Is Connected to Everything Else and What It Means for Business, Science, and Everyday Life
Basic Books; Reissue edition 2014,
ISBN-10: 0465085733
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Info about one of the many good university-level books on graph theory:
Robin Wilson's
Introduction to Graph Theory
,
Prentice Hall; 5th Edition(2010),
ISBN-10: 027372889X,
ISBN-13: 978-0273728894.
-
Article about
why your friends have more friends than you do
(on average),
written by Steven Strogatz.
-
Some follow-up research.
Event on June 14th, 2017 was sponsored by The Royal Philosophical Society of Glasgow as part of the Glasgow Science Festival.
Last modified July 2021
d.j.higham [at] ed.ac.uk