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DTSTART:20150329T030000
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DTSTART:20141026T020000
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BEGIN:VEVENT
DTSTAMP:20260501T191305Z
UID:500404511da76@ist.ac.at
DTSTART:20141201T163000
DTEND:20141201T173000
DESCRIPTION:Speaker: Nathan Linial\nAbstract: What do you do with a vast nu
 mber of real numbers that come from some scientific\, economic or other do
 main? You need not be a statistician to know how to draw the corresponding
  histogram\, compute averages\, standard deviation etc. and arrive at some
  conclusions regarding the source of these numbers. Statisticians can do m
 uch more\, of course\, but these basic techniques have become common knowl
 edge. In recent years many types of data that we are observing come in the
  form of a large graph (aka networks). Our main question is: How can you s
 imilarly draw conclusions by observing such a graph? In other words\, aver
 age\, variance modes etc. give you a handle on statistical data. Are there
 \, likewise\, features of a given large graph which convey key information
  about the system that it represents? At present we do not know how to add
 ress these questions and it is a major scientific challenge to develop goo
 d answers. I will explain the notion of local views of a big graph and why
  they offer at least a first step in this direction.
LOCATION:Raiffeisen Lecture Hall\, Central Building\, ISTA
ORGANIZER:ihetzenauer@ist.ac.at
SUMMARY:Nathan Linial: Institute Colloquium: How to read large graphs?
URL:https://talks-calendar.ista.ac.at/events/529
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