Hey all 
I’m Dagur, a CS student at Reykjavík University in Iceland. I know I’m a bit late to the party 
, but I’d love to have a go at applying for a GSoC project with IGraph.
I just finished a course in Network Science at RU, so most of the theory — how to create and analyze network models — is still fresh in my mind. I’m really enjoying the field and am seriously considering pursuing it further in my future studies.
What excites me most about network science is its diversity. It gives you a reason to dive into all sorts of fields, such as sociology, economics, ecology, physics, information theory, and many more! Right now, two areas in particular are catching my interest within the field:
- Transport routes — especially public transport — how to evaluate and optimize their efficiency. I recently wrote a short report on this using data from Iceland’s public bus system.
- Information and neural networks, and how insights from them might help us better understand the brain or improve artificial neural networks.
I used IGraph for most of the network manipulations and analyses I’ve done. I’ve worked with it through both the Python and Mathematica interfaces and really enjoyed using it—though of course, there’s always room for improvement, and I’d love to contribute to that. I’ve also used C and C++ in many of my courses, including a course in advanced algorithms, hence why I think I’m up for the challenge of contributing to IGraph.
As I take my first steps into open source, I’d love to to explore new ways of analyzing empirical models using null models, as a way to grow my knowledge in network science. So the “Degree Constrained Null Models” project definitely feels like a good fit for me.
Hoping for the best, and looking forward to working with you!