Amazon / Cambridge University Press / MIT Press / Amazon.com / /
Country
United States / /
Event
Reorganization / M&A / /
Facility
We store / University of New Mexico / University of Michigan / /
IndustryTerm
online retailer / power-law distribution / citation networks / community structure algorithm / online / good solutions / online bookseller / web sales operation / real-world networks / hierarchical agglomeration algorithm / large networks / slower hierarchical algorithm / recommender network / Web communities / power law form / faster algorithms / internet topology / social and biological networks / web-site / large network / large online retailer / human and animal social networks / arbitrary network / divisive algorithm / power-law form / social networks / social network / metabolic networks / larger networks / food webs / purchasing network / few realworld networks / co-purchasing network / gene networks / biochemical networks / /
Organization
James S. McDonell Foundation / Cambridge University / University of Michigan / Ann Arbor / National Science Foundation / MIT / Department of Physics and Astronomy / Center for the Study of Complex Systems / Department of Physics / Department of Computer Science / University of New Mexico / /
Person
Eric Promislow / J. A. Dunne / N. D. Martinez / F. Cecconi / V / Aaron Clauset / John Cougar Mellencamp / R. J. Williams / /
Position
Description General / /
ProvinceOrState
Michigan / New Mexico / Massachusetts / /
PublishedMedium
Advances in Physics / Complex Systems / Lecture Notes in Computer Science / /
Finding community structure in very large networks Aaron Clauset,1 M. E. J. Newman,2 and Cristopher Moore1, 3 1