About Dima Krioukov
Prof. Krioukov is the Director of the DKLab at the Network Science Institute at Northeastern University. DKLab research deals mostly with theory and fundamentals of complex networks. Research topics of particular interest to the lab are latent network geometry, maximumentropy 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 realworld network data to gain new knowledge and insights about the data.
Highlights of recent DKLab research with application flavor include:
 Prediction of missing and future links in real networks using their latent hyperbolic geometry
 Design of optimal, as efficient as theoretically possible, routing for Internetlike communication networks, known as hyperbolic routing, which is currently being tested as a foundation of routing in future Internet architectures such as Named Data Networking
 Demonstration that the spatiostructural organization of the human brain is nearly as needed for optimal routing of information between different parts of the brain
 Discovery that the largescale structure and dynamics of our accelerating universe represented as a growing quantumgravity network (a causal set), are asymptotically identical to the structure and dynamics of many complex networks such as the brain or the Internet
 Demonstration that scalefree degree distributions, strong clustering, and community structure, observed in many realworld networks, naturally emerge from their latent nonEuclidean geometries
 Identification of a systematic series of properties for network analysis, akin to the Fourier or Taylor series in mathematical analysis, to quantify randomness in real networks, and to tell if a particular structural property of a given real network may or may not be related to any functions of the network
Mathematics is weaved into every fiber of our lives and scientific endeavors. Our Applied Mathematics faculty at Northeastern has a very broad span ranging from Machine Learning, Topological Data Analysis and Network Science to Probability & Statistics, Optimization and Mathematical Biology.
DK Lab research focuses on the theory and fundamentals of complex networks. Research topics of particular interest to the lab are latent network geometry, maximumentropy random graph ensembles and random geometric graphs, causal sets, navigation in networks, and fundamentals of network dynamics.
The NSI works to discover and inspire fundamentally new ways to measure, model, predict and visualize meaningful interactions and interconnectivity of social, physical and technological systems. Faculty include: Alessandro Vespignani, AlbertLaszlo Barabasi, Dima Krioukov, Samuel Scarpino.
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