CONGRATULATIONS! Not only did you accomplish to finish our intellectual tour de force, but, by now, you also already have all required skills to execute a comprehensive multi-method workflow of computational social science. We will put these skills to work in this final integrative lab, where we are bringing it all together. We scrape data from a social media site (drawing on the skills obtained in the 1st course of this specialization). We then analyze the collected data by visualizing the resulting networks (building on the skills obtained in the 3rd course). We analyze some key aspects of it in depth, using machine learning powered natural language processing (putting to work the insights obtained during the 2nd course). Finally, we use a computer simulation model to explore possible generative mechanism and scrutinize aspects that we did not find in our empirical reality, but that help us to improve this aspect of society (drawing on the skills obtained during the 4th course of this specialization). The result is the first glimpse at a new way of doing social science in a digital age: computational social science. Congratulations! Having done all of this yourself, you can consider yourself a fledgling computational social scientist!
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加州大学戴维斯分校
UC Davis, one of the nation’s top-ranked research universities, is a global leader in agriculture, veterinary medicine, sustainability, environmental and biological sciences, and technology. With four colleges and six professional schools, UC Davis and its students and alumni are known for their academic excellence, meaningful public service and profound international impact.
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Getting Started and Milestone 1
For this milestone, you will again web scrape videos from two YouTube channels. You will be assigned two channels to scrape. In contrast to the previous version of this exercise, you will NOT scrape the featured videos of the specified news channel, but the search results of the name of the news channel in combination with your name.
Milestone 2: Social Network Analysis
In this milestone, you will analyze a social network with help of the software Gephi.
Milestone 3: Natural Language Processing
In this milestone of our Integrative Lab, you will select two of the key videos identified with help of our SNA, and analyze the sentiment and emotions contained in the comment sections of the videos. We use NLP from IBM Watson for this.
Milestone 4: Agent-Based Computer Simulations
In this milestone, you will take all the data you created in the previous milestones and use a two-step flow model and discover how ideas can diffuse into society. Through this exercise you will grow your own artificial society from the bottom-up.
審閱
- 5 stars76.66%
- 4 stars13.33%
- 3 stars3.33%
- 2 stars3.33%
- 1 star3.33%
來自COMPUTATIONAL SOCIAL SCIENCE CAPSTONE PROJECT的熱門評論
This course brings all the previous four modules into a single project where you apply what you've learnt previously in order to solidify your understanding on what Computational Social Scientists do.
What a great way of integrating all we learned throughout the specialization!
關於 计算社会科学 專項課程
For more information please view the Computational Social Science Trailer

常見問題
我什么时候能够访问课程视频和作业?
我订阅此专项课程后会得到什么?
有助学金吗?
What do students say after completion?
Since this Specialization is a collective effort from all UC campuses, who teaches it?
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