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Network Dynamics
An outstanding issue in systems as diverse as power supply, transportation, communication, gene, metabolic, and ecological networks is tolerance to component breakdown. Recent research on these and other complex networks has focused on abstracting from the details intrinsic to each of the systems and represents them in a unified way as a network of nodes connected by links.
Breakdown in a complex network is represented by the removal of nodes and robustness refers to the ability the surviving nodes to remain, as much as possible, interconnected. Two cases of fundamental interest are the random removal of nodes, which simulates random failures of individual elements, and the removal of the most connected nodes, which simulates a targeted attack aimed at crippling a network.
We provide our clients with insights into the design of networks to be robust against random failures and deliberate attacks. We also provide tools that simulate network traffic and yield statistical characterizations.
Pattern RecognitionAnomaly and Impending Nonlinear ProcessingData Mining Noise Sustained Patterns
Network Dynamics Remaining Lifetime More PublicationsStatistical Learning Multivariate Modeling