10:00 – 10:30 Computational Social Science introduction
10:30 – 12:30 Natural Language Processing (NLP) lab The first part will focus on applying NLP tools. Topics that will be discussed include sentiment analysis, named entity recognition, part-of-speech tagging and feature representation. The second part will focus on NLP to analyze and model social dynamics. We will discuss computational approaches to analyze language & social identity (gender, age, location) and language in interaction (e.g., social relationships, dynamics in online communities).
12:30 – 13:30 Lunch
13:30 – 15:30 Network lab We will start with an overview of traditional network analysis, covering theories of structural holes and weak ties, and relating them to graph theoretical notions of centrality and paths. We proceed with some more recent developments, covering diffusion and community structure. Finally, we discuss social balance theory, which relates to signed networks, making a connection to NLP.
15:30 – 17:00 Group assignment
17:00 – 17:30 Wrap up & drinks
Dinner – optional