[okfn-discuss] Help needed with visualization
rufus.pollock at okfn.org
Thu Jan 26 22:41:42 UTC 2012
On 24 January 2012 16:25, Guo Xu <digitalepourpre at gmail.com> wrote:
> Hi folks,
> I have been working on visualizing the networks of academic publishing
> in economics. Here's an example for the Quarterly Journal of
> A link indicates that two economists have published together in the
> QJE. The strength of a link is defined by how many times they have
> published together.
> The size of the node indicates how many times an author has published
> in the QJE. Bigger nodes have published more often.
> Finally, the color indicates the ranking of the economist's alma
> mater. Blue indicates that the author obtained his/her PhD from a top
> 10 university (according to
> orange indicates a top 11-20 university; green is for top 21-30 and
> red is for all universities beyond top 30.
Could you post the underlying dataset (or at least info about it) on
> Couple of interesting points:
> - It seems that the core (those at the centre) are almost all made up
> by top 10 authors. They tend to be well-connected.
> - The hubs are: Phillipe Aghion, Daron Acemoglu, Marianne Bertrand
> - There are rarely authors beyond the top 30 who get published in the QJE.
> The visualization is done with D3. But it is very slow on older
> computers. Does anyone have ideas for optimizing this?
There isn't much you can optimize because graph layout is in d3. Question is:
Do you need dynamic, force-directed js viz? If not you can move to
static (will be faster to render and you can do more complex stuff).
I'd suggest using networkx (it's what I used for visualizing patent
and paper networks in the past). Alternatively worth looking at gephi.
> Also, I have a lot more characteristics lying around that can be
> displayed (e.g. gender - btw only 10% of the authors are female), but
> I do not really know how to do it dynamically.
> Finally, I would ideally like to do the same visualization for the
> *entire* network of economist. I have a 300 MB dataset scraped from
> Repec that gives me information on co-authoring for virtually all
> economics journals and working paper series. But obviously this will
> be too slow to visualize so it would be great if someone had
> experience in working with such big datasets (the whole dataset has
> ~30.000 economists, which results in a 30.000 x 30.000 data matrix!!)
I actually have fairly extensive experience (though now 2y out of date):
> Anyway, let me know what you think and looking forward to suggestions!
Perhaps we can catch up at the Economics Hackday on Saturday .
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