Aaron Clauset
Aaron Clauset | |
---|---|
Born | American |
Residence | United States |
Fields | Computer Science and Physics |
Institutions | University of Colorado Boulder and Santa Fe Institute |
Alma mater | Haverford College and University of New Mexico |
Doctoral advisor | Cristopher Moore |
Known for | Power law, Community structure |
Notable awards | Erdös-Rényi Prize in Network Science |
Aaron Clauset is an American computer scientist who works in the areas of Network Science, Machine Learning, and Complex Systems. He is currently a professor of Computer Science at the University of Colorado Boulder and is external faculty at the Santa Fe Institute.
He is best known for work done with Cosma Shalizi and Mark Newman on developing rigorous statistics tests for the presence of a power law pattern in empirical data, and for showing that many distributions that were claimed to be power laws actually were not. He is also known for his work on developing algorithms for detecting community structure in complex networks, particularly a model of hierarchical clustering in networks developed with Mark Newman and Cristopher Moore.
Biography
Clauset completed his undergraduate studies in Physics and Computer Science at Haverford College in 2001.[1] He earned his Ph.D. in Computer Science in 2006 from the University of New Mexico under the supervision of Cristopher Moore.[2] He was then an Omidyar Fellow at the Santa Fe Institute until 2010, when he joined the University of Colorado Boulder as an Assistant Professor. His primary appointments are in the Computer Science Department and the BioFrontiers Institute, an interdisciplinary institute focused on quantitative systems biology.
Awards and honors
In 2016, Clauset received the Erdös-Rényi Prize in Network Science from the Network Science Society his contributions to the study of network structure, including Internet mapping, inference of missing links, and community structure, and for his provocative analyses of human conflicts and social stratification.[3]
Selected publications
- Clauset, Aaron; Newman, M. E. J.; Moore, Cristopher (2004), "Finding community structure in very large networks" (PDF), Physical Review E, 70 (6): 066111, arXiv:cond-mat/0408187
, Bibcode:2004PhRvE..70f6111C, doi:10.1103/PhysRevE.70.066111.
- Achlioptas, Dimitris; Clauset, Aaron; Kempe, David; Moore, Cristopher (2005), "On the bias of traceroute sampling: or, power-law degree distributions in regular graphs", Proceedings of the 37th ACM Symposium on Theory of Computing (STOC '05), pp. 694–703, arXiv:cond-mat/0503087
, doi:10.1145/1060590.1060693.
- Clauset, Aaron; Young, Maxwell; Gleditsch, Kristian S. (2007), "On the frequency of severe terrorist attacks", Journal of Conflict Resolution, 51 (1): 58–88, doi:10.1177/0022002706296157.
- Clauset, Aaron; Moore, Cristopher; Newman, M. E. J. (2008), "Hierarchical structure and the prediction of missing links in networks" (PDF), Nature, 453 (7191): 98–101, arXiv:0811.0484
, Bibcode:2008Natur.453...98C, doi:10.1038/nature06830.
- Clauset, Aaron; Erwin, Douglas H. (2008), "The evolution and distribution of species body size", Science, 321: 399–401, arXiv:0901.0251
, doi:10.1126/science.1157534.
- Clauset, Aaron; Shalizi, Cosma R.; Newman, M. E. J. (2009), "Power-law distributions in empirical data", SIAM Review, 51 (4): 661–703, doi:10.1137/070710111.
- Clauset, Aaron; Arbesman, Samuel; Larremore, Daniel B. (2015), "Systematic inequality and hierarchy in faculty hiring networks", Science Advances, 1 (1): e1400005, doi:10.1126/sciadv.1400005.
References
- ↑ Curriculum vitae, retrieved 2016-06-30.
- ↑ Aaron Clauset at the Mathematics Genealogy Project
- ↑ "Erdős–Rényi prize for young scientists". Network Science Society. Retrieved 4 June 2016.