I joined the Network Science PhD program with a background in Physics and Complex Systems. My current research focuses on quantifying different components of success, such as luck and mentorship. More specifically, I collect and analyze large-scale datasets about creative careers from Mathematics to Electronic music, using social network analysis, mechanistic modeling, machine learning techniques, and data visualization to untangle the emergence of excellence. During my PhD I have also carried out research at the Bell Labs in Cambridge and the Barabási Lab at Northeastern University in Boston.
Blog posts by or about Milán in What's Up at DNDS:
Quantifying and Comparing Success in Creative Careers: Milán was a visiting scholar in the Barabási Lab at the Center for Complex Network Research at the Northeastern University, Boston. His research, which he extended during this visit, is focusing on quantifying universal patterns in the success of creative individuals, such as scientists, film directors, and DJs.
Success and luck in creative careers, M Janosov, F Battiston, R Sinatra, arXiv preprint arXiv:1909.07956, 2019.
Elites, communities and the limited benefits of mentorship in electronic music, M Janosov, F Musciotto, F Battiston, G Iñiguez, arXiv preprint arXiv:1908.10968, 2019.
What increases (social) media attention: Research impact, author prominence or title attractiveness? O Zagovora, K Weller, M Janosov, C Wagner, I Peters, STI 2018 Conference Proceedings, 2018.
Group chasing tactics: how to catch a faster prey, M Janosov, C Virágh, G Vásárhelyi, T Vicsek, New Journal of Physics 19 (5), 053003, 2017.