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Studying online video popularity with stochastic computational models.

Author: Marian-Andrei Rizoiu
Publisher: London : SAGE Publications Ltd, 2019.
Edition/Format:   eVideo : Clipart/images/graphics : English
Summary:
Marian-Andrei Rizoiu, PhD, research fellow at the College of Engineering and Computer Science at the Australian National University, discusses using stochastic computational models to study the popularity of online videos, including a focus on computational social science, current research, data collection and access, identification of relevant data, how data is prepared and processed, determining the computational  Read more...
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Details

Material Type: Clipart/images/graphics, Internet resource, Videorecording
Document Type: Internet Resource, Computer File, Visual material
All Authors / Contributors: Marian-Andrei Rizoiu
ISBN: 9781526496072 1526496070
OCLC Number: 1104402668
Language Note: Closed-captions in English.
Performer(s): Academic, Marian-Andrei Rizoiu PhD.
Description: 1 online resource (1 video file (00:31:28)) : sound, colour

Abstract:

Marian-Andrei Rizoiu, PhD, research fellow at the College of Engineering and Computer Science at the Australian National University, discusses using stochastic computational models to study the popularity of online videos, including a focus on computational social science, current research, data collection and access, identification of relevant data, how data is prepared and processed, determining the computational models to use and applying them, training or organizing the data, adjustments to the research, running the models, next for this research, and advice for others interested in this type of research.

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