Mark (M.E.J.) Newman is a British physicist and professor at
the University of Michigan. He is best known for his work on complex networks
and complex systems.
Newman is known in particular for work on scientific co-authorship
networks, citation networks, email networks, friendship networks,
epidemiological contact networks, and animal social networks. He has also made
analytic or computer models of disease propagation, friendship formation, the
spread of computer viruses, the Internet, and network navigation algorithms.
He is the author of four books, including “Networks: An
Introduction”, released in 2010. In 2014, Newman was awarded the 2014 Lagrange Prize for research
achievements in the sciences of complexity. His award citation notes his work
in random graphs and community structure in social, technological and
biological networks, as well as his contribution to six textbooks and more than
130 scientific articles.
Along with Michael Gastner, Newman created density-equalizing maps, or “cartograms”. Cartograms are maps in which the
sizes of geographic regions such as countries or provinces appear in proportion
to their population or some other analogous property, and can be used for representation
of census results, election returns, disease incidence, and many other kinds of
human data. Their work gained attention following the 2004 US presidential
election when it was used as the basis for a widely circulated map of the
election results.
He has coauthored papers with several scholars, including
fellow SNA all-star Duncan Watts.
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