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Quantifying and Comparing Success in Creative Careers

April 10, 2019

What makes creative people successful? Skills, luck or collaboration? In his talk, Milan Janosov shared with us the insights he gained from analyzing several massive datasets, such as IMDb and the Web of Science, covering millions of individual careers from film, music, literature, and science.

Social Targeting: Social Network Analysis in Telecommunications Industry Application

March 21, 2019
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The Department of Network and Data Science welcomed András Kárpáti (Lynx) to deliver a presentation on March 5, 2019. He shared his perspective on the application of graph theory in general and social network in particular in business development. As a product company focusing on the use of big data graphs in dealing with complex business problems, Lynx proposes a better campaign targeting solution for generic products.

Media Echo Chambers Increase Polarization in Society

March 14, 2019
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Is it possible to reach a consensus with someone whose political opinion differs from your own? What if you both rely on social media like Facebook and Twitter for information about news and politics?

According to a new paper co-authored by Professor Janos Kertesz, head of CEU’s Department of Data and Network Science, the kinds of “echo chambers” created by online media make reaching such a consensus unlikely. Not only do people with vastly different political opinions resist change, even those with less different beliefs have trouble finding consensus between themselves.

Letina's Article Published in Complexity Journal

February 25, 2019

Hot off the press: Read our PhD student Srebrenka Letina and collaborators' article “Expanding Network Analysis Tools in Psychological Networks: Minimal Spanning Trees, Participation Coefficients, and Motif Analysis Applied to a Network of 26 Psychological Attributes“, published in Complexity Journal.

AUTHORS | Srebrenka Letina, Tessa F. Blanken, Marie K. Deserno, Denny Borsboom