BEGIN:VCALENDAR VERSION:2.0 PRODID:Data::ICal 0.22 BEGIN:VEVENT DESCRIPTION:Carl Modes\, Rockefeller University\n\n
\n Natural and man-ma de transport webs are frequently dominated by dense sets of nested cycles. The architecture of these networks -- the topology and edge weights -- de termines how efficiently the networks perform their function. Yet\, the se t of tools that can characterize such a weighted cycle-rich architecture i n a physically relevant\, mathematically compact way is sparse. In order t o fill this void\, this seminar presents a new characterization that rests on an abstraction of the physical `tiling'\; in the case of a two dime nsional network to an effective tiling of an abstract surface in space tha t the network may be thought to sit in. Generically these abstract surface s are richer than the plane and upon sequential removal of the weakest lin ks by edge weight\, neighboring tiles merge and a tree characterizing this merging process results. The properties of this characteristic tree can p rovide the physical and topological data required to describe the architec ture of the network and to build physical models. This new algorithm can b e used for automated phenotypic characterization of any weighted network w hose structure is dominated by cycles\, such as mammalian vasculature in t he organs\, the root networks of clonal colonies like quaking aspen\, and the force networks in jammed granular matter.
\n\n http://www.tcm.phy.cam.ac.uk/~cdm36/
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\n DTSTART:20160121T173000Z LOCATION:Physics Building\, Room 313 SUMMARY:Extracting Hidden Hierarchies in Complex Spatial Networks END:VEVENT END:VCALENDAR