We want to use IATI data to create a network visualisation of the connections between funders, international NGOs and local NGOs. For us, this is about spotting where organisations are clustering rather than collaborating within a specific context or country as well as seeing how they link up. A very basic example is here: https://www.google.com/fusiontables/DataSource?docid=1VfPqITAxt2rzZTBRXlcr0YlaDfIToX1us0atuss8 (Chart 1 tab). This is data on organisations working on international development in Nepal. The viz shows the relationship between the funding organisations and the implementing organisations, weighted by total disbursements. We wanted to see if there were any patterns, for example, organisations receiving funding (orange node) from more than one funder (blue node).
I just wondered if you had any advice about things to be careful of, when creating a network visualisation. We can cut the data in very different ways, which mean the story we tell will also be different. And the quality of the data will also affect this - for example, there are funders who do not name implementing organisations - you can see this by the big orange blob connected to many funders. This network viz also shows that where organisations have different names in the data (DFID and Department for International Development), they appear as different nodes. If there any other ‘gotchas’ that we should watch for based on your experience, it would be really useful to know this. Thank you IATI Community!