Our research is on the structure and function of networks, particularly
social and information networks, which are studied using a combination of
empirical methods, analysis, and computer simulation. Among other things,
we have investigated scientific coauthorship networks, citation networks,
email networks, friendship networks, epidemiological contact networks, and
animal social networks; we've studied fundamental network properties such
as degree distributions, centrality measures, assortative mixing, vertex
similarity, and community structure, and made analytic or computer models
of disease propagation, friendship formation, the spread of computer
viruses, the Internet, and network navigation algorithms. A selection of
representative publications is given below; a complete publication list is
With Daniel Dorling and Anna
Barford, we have a new book of maps available, The Atlas of the Real
World, containing 366 cartograms showing all kinds of different
features of the world today. Details here.
If you are looking for maps of the US election results, click here.
The web site accompanying my book Computational Physics is here.
The Worldmapper Project collection of cartograms is here.
A collection of network data sets from various sources is here. Data sets
include the Zachary karate club and US college football networks that have
been widely used as tests for community structure algorithms, and a number
of coauthorship networks.
Information and code for the degree-corrected block model is here.
Information and code for the link prediction algorithm is here.
Information and code for maximum likelihood fits to power-law
distributions is here.
Information and code for the fast community structure algorithm is here.
Information and code for the cartogram algorithm is here.
Information and code for the percolation algorithm is here.
If you are looking for the summary tables of collaboration indices from
my 2001 paper on coauthorships, they are here.