|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.
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.
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. 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.
- Complex network
- Social network
- Random graph
- Assortative mixing
- Community structure
- Percolation theory
- 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.
- M. E. J. Newman (2001). "The structure of scientific collaboration networks". Proceedings of the National Academy of Sciences 98 (2): 404–409. arXiv:cond-mat/0007214. Bibcode:2001PNAS...98..404N. doi:10.1073/pnas.021544898. PMC 14598. PMID 11149952.
- M. E. J. Newman; S. H. Strogatz; D. J. Watts (2001). "Random graphs with arbitrary degree distributions and their applications". Physical Review E 64 (2): 026118. arXiv:cond-mat/0007235. Bibcode:2001PhRvE..64b6118N. doi:10.1103/PhysRevE.64.026118.
- M. E. J. Newman (2002). "Assortative mixing in networks". Physical Review Letters 89 (20): 208701. arXiv:cond-mat/0205405. Bibcode:2002PhRvL..89t8701N. doi:10.1103/PhysRevLett.89.208701. PMID 12443515.
- M. E. J. Newman (2003). "The structure and function of complex networks". SIAM Review 45 (2): 167–256. arXiv:cond-mat/0303516. Bibcode:2003SIAMR..45..167N. doi:10.1137/S003614450342480.
- M. T. Gastner; M. E. J. Newman (2004). "Diffusion-based method for producing density equalizing maps". Proceedings of the National Academy of Sciences 101 (20): 7499–7504. arXiv:physics/0401102. Bibcode:2004PNAS..101.7499G. doi:10.1073/pnas.0400280101. PMC 419634. PMID 15136719.
- M. E. J. Newman (2006). "Modularity and community structure in networks". Proceedings of the National Academy of Sciences 103 (23): 8577–8582. arXiv:physics/0602124. Bibcode:2006PNAS..103.8577N. doi:10.1073/pnas.0601602103. PMC 1482622. PMID 16723398.
- MEJ. Newman (2005), Power laws, Pareto distributions and Zipf's law, Contemporary Physics, Sep/Oct 2005, Vol. 46 Issue 5, p323-351, 29p; doi:10.1080/00107510500052444. http://arxiv.org/PS_cache/cond-mat/pdf/0412/0412004v3.pdf
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