Summary
Chapters
Video Info
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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Chapter 1: How did You Become Interested in Online Behavior and Computational Modeling?
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Chapter 2: What did You Learn Through Changing Your Research Focus to Computational Social Science?
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Chapter 3: What are you Currently Researching?
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Chapter 4: How did You Collect the Data for Your Study?
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Chapter 5: How do You Get Access to the Data You Need? How do You Identify Which Tweets are Relevant?
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Chapter 6: What do You do Once You Have Collected the Data?
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Chapter 7: How do You Determine Which Computational Models to Use?
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Chapter 8: What is the Process of Applying Those Models?
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Chapter 9: How did You "Train" or Organize The Data to Prepare it for the Models?
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Chapter 10: Were There any Adjustments You Needed to Make to Your Research?
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Chapter 11: What was the Process of Running the Models Like?
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Chapter 12: What is Next for This Research Project?
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Chapter 13: What Advice Would You Give Someone Interested in Doing This Kind of Research?
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