Social Networks and Big Data Methods (Summer 2026): Difference between revisions
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Evaluation will be based on attendance (10%), class participation (10%), presentation (30%), and final project (50%). | Evaluation will be based on attendance (10%), class participation (10%), presentation (30%), and final project (50%). | ||
Paper presentation requirements: | |||
1. At least 12 mins; | |||
2. Clear statement of the research questions in the papers; | |||
3. Focus on methods and results. | |||
Final project requirements: replicate a paper related to social network analysis: | |||
1. Single column; | |||
2. 10pt font, 1.5x line spacing; | |||
3. You can have as many images and tables as you want; | |||
4. 10 pages; | |||
5. Focus on the methods and results; | |||
6. For all networks, present their basic descriptions (size, density, degree distributions, number of largest components, size of largest components, etc) | |||
Slides: https://github.com/sophieball/social_network | Slides: https://github.com/sophieball/social_network | ||