With a background in Physics and Biophysics, I earned my PhD in Network Science in 2020. I studied and researched at the Eötvös Loránd University and the Central European University in Budapest, at the Barabási Lab in Boston, and the Bell Labs in Cambridge. Alumni at Eötvös Collegium.
I am currently the chief data scientist of Datapolis, a network and data science research affiliate at the Central European University, a senior data scientist at Maven7, and an external data science expert of the European Commission's Joint Research Center.
My work has been featured in Nature Social Science Research, GQ, Forbes, Times Higher Education, New Scientist, New York Times, TechXplore, The Economic Times, Futurism, Phys.org, and more.
The rest of my work is available here: https://linktr.ee/janosov
Latest Article of Janosov and Colleagues Tackles the Role of Luck in Success
2 Hits for CEU: Graduate, Ilab Startup Founder Make Forbes Hungary's "30 Under 30"
Star DJs and mentorship – a social network analysis (external site)
Tracing Luck and Building Solutions
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
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