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What and Who
Title:Event time series analysis and its applications to social media analysis
Speaker:Ryota Kobayashi
coming from:National Institute of Informatics, Japan
Speakers Bio:Dr. Kobayashi is an assistant professor at National Institute of Informatics in Japan.

His research interests include mathematical modeling of human activity and computational neuroscience.
He received EPFL award and INCF (International Neuroinformatics Coordinating Facility) prize for the development of single neuron model.

Event Type:SWS Colloquium
Visibility:SWS, RG1, MMCI
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Level:MPI Audience
Language:English
Date, Time and Location
Date:Tuesday, 14 March 2017
Time:14:09
Duration:90 Minutes
Location:Saarbr├╝cken
Building:E1 5
Room:029
Abstract
We first present an approach for analyzing the event time series, namely, the times of event occurrences. Interestingly, the event

time series appears in various fields, including neuroscience (action potentials of a neuron), social media analysis (Twitter, Facebook), and
so on. Then, we develop a framework for forecastingretweet activity through the analysis of Twitter dataset(Kobayashi & Lambiotte, ICWSM,
2016). This work is joint work with Renaud Lambiotte.

Contact
Name(s):Claudia Richter
Phone:9303 9103
EMail:--email address not disclosed on the web
Video Broadcast
Video Broadcast:YesTo Location:Kaiserslautern
To Building:G26To Room:113
Meeting ID:
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Attachments, File(s):
  • Claudia Richter, 03/14/2017 02:13 PM -- Created document.