Hello - I’m looking for some advice.
Other than being with edgeryders I’ with Ronin - a platform of independent researchers in the US. It has (some) global reach, ~250 members of very different scientific profiles. Likely, the diversity is the single most valuable resource.
We had (this week, @Ronin) a series of All-hands meetings (using ZOOM) to discuss status, wishes and development options.
To my view, we are not making good use of the diversity that the Ronins present; for example to built peer-to-peer links or to get help.
I was wondering about what a network analysis could deliver (in terms of possible relations) that uses as input data (after processing) the researcher profiles that are published on the platform.
I would assume that, for example, natural language processing should be able to convert the profiles into data that then can be networked to show possible relations of different scholars. I would assume that such a methodology exist somewhere and for we it sounds like something that edgeryders is good at.
To put it differently; if you have a set of texts in which a group of people describe (one by one) who they are, what they are doing and what interests them and you like to identify possible (weak) links between me how would you do the analysis?
Any advice to offer by somebody?