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SUMMARY:Semi-metric Analysis of fMRI Connectivity Networks - Tiago Simas\,
  Brain Mapping Unit\, Department of Psychiatry\, University of Cambridge
DTSTART:20120508T100000Z
DTEND:20120508T110000Z
UID:TALK38174@talks.cam.ac.uk
CONTACT:Mikail Rubinov
DESCRIPTION:The majority of research on complex networks treats interactio
 ns as binary edges in graphs\, even though interactions in real networks e
 xhibit a wide range of intensities or strengths. Weighted real networks\, 
 such as the Human connectome network\, fMRI connectivity networks\, etc. h
 ave high number of transitivity violations. That is\, two nodes in a netwo
 rk have a transitivity violation if they have an indirect path\, which is 
 stronger than the strength of the edge between them (direct path).  We cal
 l these networks semi-metric. Transitivity can be studied as a general top
 ological phenomenon in weighted graphs. Here\, we present this type of ana
 lysis on fMRI connectivity networks from Autistic data.\n
LOCATION:BCNI seminar room\, Sir William Hardy Building\, Downing Site
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