I understand the reasons, both noble (e.g. protecting user privacy) and ignoble (e.g. enforcing a closed ecosystem, like they did with CRM, which is quite frankly evil [source]). Will just say it's more hassle than I was expecting for a simple research project.
Basically, I want to identify:
- People like me (starting from me)
- Where they came from.
- Infer where they are likely to go.
- The co-variables that are strongly correlated (positive or negative) to particular transitions and joint-transitions.
Here's hoping that LinkedIn will provide access for my little research project. There isn't much I can do with basic profile information from 1st degree connections; need the entire network (~200k people) and non-basic profile information such as companies/universities attended to really get going.
The previous post on Tessella [source], is a very basic example of what I want to do (on a much larger scale of course) if I get vetted.
Will be using LinkedIn Python API [source]. As an aside, the code itself is beautiful.