Residence United States | ||
Notable awards Erdös-Rényi Prize in Network Science Notable award Erdös-Rényi Prize in Network Science Institutions |
Computational methods for modeling and analyzing complex networks aaron clauset mobile clip1
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.
Contents
- Computational methods for modeling and analyzing complex networks aaron clauset mobile clip1
- Computational methods for modeling and analyzing complex networks aaron clauset mobile clip24
- Biography
- Awards and honors
- Selected publications
- References
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.
Computational methods for modeling and analyzing complex networks aaron clauset mobile clip24
Biography
Clauset completed his undergraduate studies in Physics and Computer Science at Haverford College in 2001. He earned his Ph.D. in Computer Science in 2006 from the University of New Mexico under the supervision of Cristopher Moore. 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.