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Studying online video popularity with stochastic computational models.
- Format:
- Video
- Series:
- Sage research methods.
- Language:
- English
- Subjects (All):
- Internet videos--Research.
- Internet videos.
- Digital media--Research.
- Digital media.
- Social media--Research.
- Social media.
- Stochastic models.
- Physical Description:
- 1 online resource (1 video file (00:31:28)) : sound, colour
- Place of Publication:
- London : SAGE Publications Ltd, 2019.
- Language Note:
- Closed-captions in 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 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.
- Participant:
- Academic, Marian-Andrei Rizoiu PhD.
- Notes:
- Description based on XML content.
- ISBN:
- 9781526496072 (streaming video) :
- OCLC:
- 1104402668
- Access Restriction:
- Restricted for use by site license.
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