My research interests include: complex networks; statistical learning; social networks; power laws; the statistics of conflict; communication networks (design, routing, and mapping); complex systems; systems biology; macroevolution and biological scaling laws; adaptive and evolutionary computation; self-organization; mechanism design for network security; game theory.

In the recent past, my research has focused on the more theoretical and algorithmic aspects of complex networks, by creating new and powerful methods for analyzing the structure of networks (often extremely large ones). Although I've also worked extensively with genetic algorithms, their fundamental limitations lead me to be less interested in them, and more interested in understanding how biological (genetic) systems compute.

In addition to pure research, I've also advised / consulted for a number of businesses on topics including social network analysis and statistical modeling. Although sometimes worthwhile, I try to minimize the amount of time spent there since it rarely leads to new research ideas.

Press

Hierarchical structure and prediction of missing links
Nature (May 2008, by Sidney Redner), SFI Press Release (May 2008), Roland Piquepaille's Technology Trends (May 2008), Slashdot (May 2008), Science News (June 2008, by Julie Rehmeyer).

Power-law distributions in empirical data
Nature Physics (May 2008, by Mark Buchanan)

Mapping the Internet
SIAM News (June 2005, by Sara Robinson)

Frequency of severe terrorist attacks
Nature News (February 2005), PhysicsWeb (February 2005), Die Welt (March 2005), Nature News (July 2005), The Economist (July 2005), The Guardian (August 2005), American Physical Society (APS) Bulletin (November 2006), and the SFI Bulletin (Spring 2008).

Publications

1. How many species have mass M?
   A. Clauset, D. J. Schwab and S. Redner.
   Submitted to American Naturalist (2008).

2. Power-law distributions in empirical data.
   A. Clauset, C. R. Shalizi and M. E. J. Newman.
   Submitted to SIAM Reviews (2007). (Download the code.)

3. The evolution and distribution of species body size.
   A. Clauset and D. H. Erwin.
   Science, to appear (2008).

4. On the Bias of Traceroute Sampling.
   D. Achlioptas, A. Clauset, D. Kempe and C. Moore.
   Journal of the ACM, to appear (2008).

5. Hierarchical structure and the prediction of missing links in networks.
   A. Clauset, C. Moore and M. E. J. Newman.
   Nature 453, 98 - 101 (2008). (Download the code; preprint version)

6. On the Frequency of Severe Terrorist Attacks.
   A. Clauset, M. Young and K. S. Gledistch.
   Journal of Conflict Resolution 51(1), 58 - 88 (2007).
   (First pre-print appeared online as physics/0502014 in Feburary 2005.)

7. Structural Inference of Hierarchies in Networks.
   A. Clauset, C. Moore and M. E. J. Newman.
   In E. M. Airoldi et al. (Eds.): ICML 2006 Ws, Lecture Notes in Computer Science 4503, 1 - 13. Springer-Verlag, Berlin Heidelberg (2007).

8. Scale Invariance in Road Networks.
   V. Kalapala, V. Sanwalani, A. Clauset and C. Moore.
   Physical Review E 73, 026130 (2006).

9. Molecular modeling of mono- and bis-quaternary ammonium salts as ligands at the a4b2 nicotinic acetylcholine receptor subtype using nonlinear techniques.
   J. T. Ayers, A. Clauset, J. D. Schmitt, L. P. Dwoskin and P. A. Crooks.
   American Association of Pharmaceutical Scientists Journal 7(3), E678 - 85 (2005).

10. Supervised Self-Organizing Maps in QSAR I: Robust behavior with underdetermined datasets.
    Y. D. Xiao, A. Clauset, R. Harris, E. Bayram, P. Santago II, and J. D. Schmitt.
    Journal of Chemical Information and Modeling 45(6), 1749 - 1758 (2005).

11. Finding local community structure in networks.
    A. Clauset.
    Physical Review E 72, 026132 (2005).

12. On the bias of traceroute sampling; or, Power-law degree distributions in regular graphs.
    D. Achlioptas, A Clauset, D. Kempe and C. Moore.
    In Proc. 37th ACM Symposium on Theory of Computing (STOC) (Baltimore, May 2005).

13. Accuracy and Scaling Phenomena in Internet Mapping.
    A. Clauset and C. Moore.
    Physical Review Letters 94, 018701 (2005).

14. Finding community structure in very large networks.
    A. Clauset, M. E. J. Newman and C. Moore.
    Physical Review E 70, 066111 (2004). (Download the code.)

15. Genetic Algorithms and Self-Organizing Maps: A Powerful Combination for Modeling Complex QSAR and QSPR Problems.
    E. Bayram, P. Santago II, R. Harris, Y. D. Xiao, A. Clauset and J. D. Schmitt.
    Journal of Computer-Aided Molecular Design 18(7-9), 483 - 493 (2004).

Pre-prints

1. How do networks become navigable?
   A. Clauset and C. Moore.
   Preprint (2003).

2. Chaos You Can Play In.
   A. Clauset, N. Grigg, M. Lim and E. Miller.
   In Proc. 2003 Santa Fe Institute Complex Systems Summer School (Santa Fe, July 2003).