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CAMP: Temporal networks: A physics perspective

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Petter Holme, Sungkyunkwan University
When
02 February 2016 3:30 PM to 03 February 2016 4:30 PM
Where
339 Davey Laboratory
Contact Name
Dezhe Jin
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Networks are all around us—from power-grids to the nervous system, from polymer interactions to friendship networks, from protein interactions to chains of historical events. Network theory is a framework that seeks to explain how such networks function, evolve and can be controlled. Like (or, perhaps, as a branch of) statistical physics, it is way to explain how system-wide properties emerges from the microscopic interactions between nodes in the networks. Moreover, network theory gives methods to extract useful information from large-scale data sets of complex systems, thus forming a connection between physics and data science. Sometimes, one has information not only about which nodes that interact, but also when the interaction happens. This information can be crucial for understanding how dynamical systems (like diseases spreading over human contact networks) behave. I will discuss the theory of temporal networks—integrating information about time and network topology. This theory, it turns out, becomes rather different from static network theory (partly because temporal networks are not transitive, in the algebraic sense). I will use disease spreading on temporal networks as my main example, but also discuss the state of the field in general, and its future challenges.

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