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UID:370@lincs.fr
DTSTART;TZID=Europe/Paris:20180514T160000
DTEND;TZID=Europe/Paris:20180514T163000
DTSTAMP:20180515T060656Z
URL:https://www.lincs.fr/events/on-finding-dense-subgraphs-and-events-in-s
 ocial-media/
SUMMARY:On finding dense subgraphs and events in social media
DESCRIPTION:Social media contain information shared by hundreds of millions
 of users across the world and provide one of the richest dataset created by
 human activity. Social media distinguish themselves from traditional media
 as users can follow news channels\, but they can also be the ones reporting
 updates on events.\nIn our research\, we focus on the detection of disaster
 events\, such as earthquakes\, terrorist attacks\, mass shootings\, air
 strikes\, etc. We develop tools to extract a useful description of an event
 via a graph-based approach and we show that our algorithm can incorporate
 information from several sources\, such as both social and mainstream
 media.\nComplementary to our work on event detection\, we study several
 definitions of meaningful subgraphs in a graph. Density is a very good
 measure of importance and cohesiveness in graphs and dense subgraphs have
 been found to represent communities in social networks\, or to indicate the
 presence of real-world events in a graph-of-words. We investigate both
 semantic and structural properties of dense subgraphs and we develop
 algorithms that can successfully scale to real-world graphs.
CATEGORIES:Seminars,Youtube
LOCATION:LINCS / EIT Digital\, 23 avenue d'Italie\, 75013 Paris\, France
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=23 avenue d'Italie\, 75013
 Paris\, France;X-APPLE-RADIUS=100;X-TITLE=LINCS / EIT Digital:geo:0,0
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TZID:Europe/Paris
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DTSTART:20180325T030000
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