Mark Newman

Anatol Rapoport Distinguished University Professor of Physics
Department of Physics and Center for the Study of Complex Systems
University of Michigan

External Faculty
Santa Fe Institute

Our group conducts research on the structure and function of networks, particularly social and information networks, which we study 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.


Selected publications:

  1. The structure of scientific collaboration networks, M. E. J. Newman, Proc. Natl. Acad. Sci. USA 98, 404-409 (2001).
  2. Random graphs with arbitrary degree distributions and their applications, M. E. J. Newman, S. H. Strogatz, and D. J. Watts, Phys. Rev. E 64, 026118 (2001).
  3. Assortative mixing in networks, M. E. J. Newman, Phys. Rev. Lett. 89, 208701 (2002).
  4. The structure and function of complex networks, M. E. J. Newman, SIAM Review 45, 167-256 (2003).
  5. Modularity and community structure in networks, M. E. J. Newman, Proc. Natl. Acad. Sci. USA 103, 8577-8582 (2006).
  6. Hierarchical structure and the prediction of missing links in networks, A. Clauset, C. Moore, and M. E. J. Newman, Nature 453, 98–101 (2008).
  7. Power-law distributions in empirical data, Aaron Clauset, Cosma Rohilla Shalizi, and M. E. J. Newman, SIAM Review 51, 661-703 (2009).
  8. Random graphs with clustering, M. E. J. Newman, Phys. Rev. Lett. 103, 058701 (2009).
  9. Graph spectra and the detectability of community structure in networks, Raj Rao Nadakuditi and M. E. J. Newman, Phys. Rev. Lett. 108, 188701 (2012).
  10. Percolation on sparse networks, Brian Karrer, M. E. J. Newman, and Lenka Zdeborová, Phys. Rev. Lett. 113, 208702 (2014).
  11. Generalized communities in networks, M. E. J. Newman and Tiago P. Peixoto, Phys. Rev. Lett. 115, 088701 (2015).
  12. Structure and inference in annotated networks, M. E. J. Newman and Aaron Clauset, Nature Communications 7, 11863 (2016).

Research group


Previous courses:

Other information

Our recent work on generalized communities in networks was featured on the cover of Physical Review Letters.

My book Networks: An Introduction was published in 2010 by Oxford University Press. Information about it is here. The Amazon page is also a good place to look for info.

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.

Our work on density-equalizing map projections appeared on the cover of the Proceedings of the National Academy of Sciences.

If you are looking for maps of the US election results, click here.

Contact details:

I am not the only professor called Mark Newman at the University of Michigan. I'm the physicist who works on networks. There is another Mark Newman in the UM School of Information who works on human-computer interaction.

Here are my contact details:

Department of Physics
University of Michigan
Randall Laboratory
450 Church Street
Ann Arbor, MI 48109-1040

Phone: (734) 764-4437
Fax: (734) 764-6843

Last modified: September 28 22, 2016

Mark Newman, Department of Physics, University of Michigan