Milán Janosov

Country: 
Hungary
Year of Enrollment: 
2016

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:

Elites, Communities and the Limited Benefits of Mentorship in Electronic Music

Methods for Analyzing Multimedia Data (CSS Summer School, Berlin)

CEU Alumni Network Visualization

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. 

Imperial Networks from the Sixteenth-Century Habsburg House in Constantinople

Janosov Accepted as Data Science Research Intern at NOKIA Bell Labs

DeleteFacebook on Twitter – a Hidden Political Discussion

Ingredients of Successful Artistic Careers

Milán Janosov Receives Academic Achievement Award for First-Year Doctoral Students

Janosov Gives Talk at the Budapest New Tech Meetup

COSTNET17 Mallorca: Presenting Science of Success and Urban Mobility

Game of Thrones: Prediction 2.0

Network Science Predicts Who Dies Next in Game of Thrones

How To Find Key Opinion Leaders: The #IstandwithCEU Campaign

140 Million Potential Reach on Twitter

The Effect of Luck, Skill and Collaboration in Success and Careers

#istandwithceu

Our Phd Student Wins Scholarship for the Symposium for the Society of Young Network Scientists

Multiplexity Entering the Game

A Novel Community Finding Method on Large Networks

RECENT WORK

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.

Qualification

MSc, Biophysics, Eötvös Loránd University
BSc, Physics, Eötvös Loránd University

Thesis

Supervisor

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