Mark Newman

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For the sculptor and illustrator, see Mark Newman (sculptor). For the American baseball executive, see Mark Newman (baseball).
Mark Newman
Born British
Residence United States
Fields Physics
Institutions University of Michigan
Santa Fe Institute
Alma mater Merton College, Oxford
Doctoral advisor David Sherrington

Mark Newman is a British physicist and Paul Dirac Professor of Physics at the University of Michigan, as well as an external faculty member of the Santa Fe Institute. He is known for his fundamental contributions to the fields of complex networks and complex systems, for which he was awarded the 2014 Lagrange Prize.

Career[edit]

Mark Newman received a PhD in physics from the University of Oxford and conducted postdoctoral research at Cornell University before taking a position at the Santa Fe Institute, a private research institute in northern New Mexico devoted to the study of complex systems. In 2002 he moved from Santa Fe to the University of Michigan, where he is currently the Dirac Professor of Physics and a professor in the university's Center for the Study of Complex Systems.

Research[edit]

Newman is known for his research on complex networks, and in particular for work on collaboration patterns of scientists, random graph theory, assortative mixing, community structure, percolation theory, and network epidemiology.[1] He was also co-inventor, with Michael Gastner, of a new method for generating cartograms. 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.

See also[edit]

Selected publications[edit]

Books[edit]

  • J. J. Binney, A. J. Fisher, N. J. Dowrick, and M. E. J. Newman (1992). The Theory of Critical Phenomena. Oxford: Oxford University Press. 
  • M. E. J. Newman and G. T. Barkema (1999). Monte Carlo Methods in Statistical Physics. Oxford: Oxford University Press. ISBN 0-19-851796-3. 
  • Mark Newman, Albert-László Barabási, and Duncan J. Watts (2006). Structure and Dynamics of Networks. Princeton, NJ: Princeton University Press. 
  • M. E. J. Newman (2010). Networks: An Introduction. Oxford: Oxford University Press. ISBN 0-19-920665-1. 

Articles[edit]

References[edit]