Mark Newman

Mark Newman
Professor
Department of Physics and Center for the Study of Complex Systems
University of Michigan

Member of the External Faculty
Santa Fe Institute

Publications and presentations

Courses:

Physics 390, Introduction to Modern Physics, Winter 2008
Complex Systems 511, Theory of Complex Systems, Fall 2007
Physics 406, Statistical and Thermal Physics, Winter 2007
Complex Systems 899, Theory of Complex Systems, Winter 2006
Complex Systems 535, Network Theory, Winter 2005
Physics 406, Statistical and Thermal Physics, Fall 2004
Complex Systems 535, Network Theory, Winter 2004
Physics 406, Statistical and Thermal Physics, Fall 2003
Physics 406, Statistical and Thermal Physics, Fall 2002

Research group:

Group members:
- Gourab Ghoshal
- Brian Karrer
- Bethany Percha
Former group members:

Research:

Our research is 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 have studied fundamental network properties such as degree distributions, centrality measures, assortative mixing, vertex similarity, and community structure; and we have 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 here.

Selected publications:

The structure of scientific collaboration networks, M. E. J. Newman, Proc. Natl. Acad. Sci. USA 98, 404-409 (2001).
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).
Assortative mixing in networks, M. E. J. Newman, Phys. Rev. Lett. 89, 208701 (2002).
The structure and function of complex networks, M. E. J. Newman, SIAM Review 45, 167-256 (2003).
Modularity and community structure in networks, M. E. J. Newman, Proc. Natl. Acad. Sci. USA 103, 8577-8582 (2006).

Other information:

Those of you who have been following the work on cartograms may be interested in a new series of cartograms I've made, which can be found here.

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

If you are looking for our analysis of the 2006 US election results, click here.

A list of articles about our work from the popular and trade press 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 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.

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
Email: mejn@umich.edu

Last modified: July 14, 2008.

Mark Newman, Department of Physics, University of Michigan