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BEGIN:VEVENT
UID:37@lincs.fr
DTSTART;TZID=Europe/Paris:20161116T140000
DTEND;TZID=Europe/Paris:20161116T150000
DTSTAMP:20170313T170811Z
URL:https://www.lincs.fr/events/walkscan-improving-pagerank-for-local-comm
 unity-detection/
SUMMARY:WalkSCAN: Improving PageRank for local community detection
DESCRIPTION:Community detection is a fundamental problem in the field of
 graph mining. The objective is to find densely connected clusters of
 nodes\, so-called communities\, possibly overlapping. While most existing
 algorithms work on the entire graph\, it is often irrelevant in practice to
 cluster all nodes. A more practically interesting problem is to detect the
 community to which a given set of nodes\, the so-called "seed nodes"\,
 belong. Moreover\, the exploration of the whole network is generally
 computationally expensive\, if not impossible\, and algorithms that only
 take into account the local structure of the graph around seed nodes
 provide a big advantage. For these reasons\, there is a growing interest in
 the problem of "local" community detection\, also known as "seed set
 expansion". We solve this problem through a low-dimensional embedding of
 the graph based on random walks starting from the seed nodes.
CATEGORIES:Seminars,Youtube
LOCATION:LINCS Meeting Room 40\, 23\, avenue d'Italie\, Paris\, 75013\,
 France
GEO:48.8283983;2.3568972000000485
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TZID:Europe/Paris
X-LIC-LOCATION:Europe/Paris
BEGIN:STANDARD
DTSTART:20161030T020000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
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