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UID:366@lincs.fr
DTSTART;TZID=Europe/Paris:20180514T093000
DTEND;TZID=Europe/Paris:20180514T100000
DTSTAMP:20180515T055710Z
URL:https://www.lincs.fr/events/analysis-of-temporal-interactions-with-lin
 k-streams/
SUMMARY:Analysis of temporal interactions with link streams
DESCRIPTION:Money or data transfers\, contacts between individuals\, or
 product sales\, may all be modeled as temporal interactions. Studying the
 structure and dynamics of interactions is therefore crucial for many
 fundamental and applied questions (like event detection in traffic\, fraud
 fighting\, recommender systems\, network optimisation\, and the interplay
 between relations and interactions). Their structure is studied with graphs
 and networks (sets of nodes and links)\; their dynamics is studied with
 signals and time series (variations of a property over time)\; to study the
 dynamics of their structure\, one uses graph sequences. However\, these
 approaches poorly capture the both structural and temporal nature of
 interactions\, that calls for a dedicated formalism. I will present a
 generalization of graphs\, that we call link streams\, and that makes it
 possible to consistently handle both aspects. We thus obtain a language for
 the study of interactions over time\, similar to the one provided by graphs
 for the study of relations.
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
X-LIC-LOCATION:Europe/Paris
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DTSTART:20180325T030000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
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