Hey, as I mentioned in the intro thread, I would love to hack around with social network data. Here is one project I would like to pitch in this context 
Motivation: Social network analysis is a tool to understand a wide range of social phenomena, such as information flow, social influence, trust, spread of epidemics and happiness. It even sheds a light on less likely phenomena such as your likelihood of getting a divorces, finding your dream job or your political opinions.
Analyzing our own social networks might give us some insights how these phenomena affect ourselves.
Goal: Build a tool to capture, compare and visualize our offline and online social networks
Possible steps to get there:
- Define the metrics to compare online and offline networks on (e.g. size, sub communities / cliques, centrality, …)
- Define and implement a survey to capture the relevant properties from your offline network
- Define and implement a process to extract the relevant properties from your online network (e.g. Twitter or Facebook, using their APIs)
- Compare the networks base on the metrics we defined
- Present the results visually
Skills or interests needed
- Survey design
- API coding
- Web development / UI development
- Statistics / Mathematics
- Social network analysis
- Data visualization
I can contribute to most of these areas, and would be happy to have a few collaborators join me.