Dmitri Krioukov
Affiliated Faculty, Electrical and Computer Engineering
Associate Professor, Physics
Contact
- dima@northeastern.edu
- 360 Huntington Avenue
Boston, Massachusetts 02115
Office
- 124 Dana Research Center
- 617.373.2934
Research Focus
Big data analytics and practical applications, mathematical physics of networks.
About
Prof. Krioukov is the Director of the DK-Lab at the Network Science Institute at Northeastern University. DK-Lab research deals mostly with theory and fundamentals of complex networks. Research topics of particular interest to the lab are latent network geometry, maximum-entropy random graph ensembles and random geometric graphs, causal sets, navigation in networks, and fundamentals of network dynamics. While research in the lab mainly focuses on theoretical aspects of network science, these theoretical results are often applied to real-world network data to gain new knowledge and insights about the data.
Research Overview
Big data analytics and practical applications, mathematical physics of networks.
DK-Lab
The main focus of research at the DK-Lab is network theory. Research topics of particular interest to the lab are latent network geometry, maximum-entropy random graph ensembles, random geometric graphs, graph curvature, causal sets, navigation in networks, and fundamentals of network dynamics. While research in the lab deals mainly with theoretical aspects of network science, the obtained theoretical results are often applied to real-world network data in a variety of applications.
Selected Publications
- D. Krioukov, M. Kitsak, R. Sinkovits, D. Rideout, D. Meyer, and M. Boguna, Network Cosmology, Nature Scientific Reports, v.2, p.793, 2012 (DOI, arXiv)
Press: UCSD, SDSC, Space, Time, TheRegister, CBS, HuffingtonPost, HuffingtonPostUK, PopularScience, LiveScience, Slashdot, PhysOrg, ScienceDaily, TGDaily, DigitalJournal, Vesti, MK, LifeNews, theRunet
One-sentence abstract: The large-scale structure and dynamics of complex networks and the universe are asymptotically identical. - F. Papadopoulos, M. Kitsak, M. Angeles Serrano, M. Boguna, and D. Krioukov, Popularity versus Similarity in Growing Networks, Nature, v.489, p.537, 2012 (DOI, arXiv)
Press: UCSD, SDSC, Nature, Nature Physics, PhysOrg, ScienceDaily, AMS, Le Scienze, Elsevier
One-sentence abstract: Trade-offs between popularity and similarity shape the structure and dynamics of growing complex networks, with preferential attachment emerging from local optimization processes, casting these networks as random geometric graphs growing in hyperbolic spaces. - D. Krioukov, F. Papadopoulos, M. Kitsak, A. Vahdat, and M. Boguna, Hyperbolic Geometry of Complex Networks, Physical Review E, v.82, 036106, 2010 (DOI, arXiv)
One-sentence abstract: A framework to study the structure and function of complex networks in purely geometric terms. - M. Boguna, F. Papadopoulos, and D. Krioukov, Sustaining the Internet with Hyperbolic Mapping, Nature Communications, v.1, p.62, 2010 (DOI, arXiv, data)
Press: UCSD, SDSC, New Scientist, IEEE Spectrum, Communications of the ACM, MIT Scope, The Register, CBC, El Pais, Electronics Weekly, PhysOrg, ACMEscience, Science Daily, I Programmer, ISPreview, PC Pro, CNews
One-sentence abstract: Mapping the Internet to its underlying hyperbolic space enables optimal routing in the Internet. - M. Boguna, D. Krioukov, and K.C. Claffy, Navigability of Complex Networks, Nature Physics, v.5, p.74-80, 2009 (DOI, arXiv)
Press: UCSD, Nature, Science Daily, Technology Review, Lenta.ru,
One-sentence abstract: Complex networks have navigable topologies.
Dec 07, 2023
2023 Stanford University Annual Assessment of Author Citations
The following COE professors are among the top scientists worldwide selected by Stanford University representing the top 2% of the most-cited scientists with single-year impact in various disciplines. The selection is based on the top 100,000 by c-score (with and without self-citations) or a percentile rank of 2% or above. The list below includes those […]
Nov 02, 2022
2022 Stanford University Annual Assessment of Author Citations
The following COE professors are among the top scientists worldwide selected by Stanford University representing the top 2 percent of the most-cited scientists with single-year impact in various disciplines. The selection is based on the top 100,000 by c-score (with and without self-citations) or a percentile rank of 2% or above. The list below includes […]