activity
20162023
most citedPrediction of employment and unemployment rates from Twitter daily rhythms in the US

25 citations · 50 across the 5 of their papers we have counts for

collaborators

7 papers

physics.soc-ph2023★ 1 cited

Socio-economic Segregation in a Population-Scale Social Network

Yuliia Kazmina, Eelke M. Heemskerk, Eszter Bokanyi +1

We propose a social network-aware approach to studying socio-economic segregation. The key question that we address is whether patterns of segregation are more pronounced in social…

physics.soc-ph2019

Scaling in Words on Twitter

Eszter Bokányi, Dániel Kondor, Gábor Vattay

Scaling properties of language are a useful tool for understanding generative processes in texts. We investigate the scaling relations in citywise Twitter corpora coming from the M…

cs.SI2018

Urban scaling of football followership on Twitter

Eszter Bokanyi, Attila Soti, Gabor Vattay

Social sciences have an important challenge today to take advantage of new research opportunities provided by large amounts of data generated by online social networks. Because of…

cs.SI2017★ 3 cited

Video Pandemics: Worldwide Viral Spreading of Psy's Gangnam Style Video

Zsofia Kallus, Daniel Kondor, Jozsef Steger +3

Viral videos can reach global penetration traveling through international channels of communication similarly to real diseases starting from a well-localized source. In past centur…

physics.soc-ph2017★ 21 cited

Universal Scaling Laws in Metro Area Election Results

Eszter Bokányi, Zoltán Szállási, Gábor Vattay

We explain the anomaly of election results between large cities and rural areas in terms of urban scaling in the 1948-2016 US elections and in the 2016 EU referendum of the UK. The…

physics.soc-ph2017★ 25 cited

Prediction of employment and unemployment rates from Twitter daily rhythms in the US

Eszter Bokányi, Zoltán Lábszki, Gábor Vattay

By modeling macro-economical indicators using digital traces of human activities on mobile or social networks, we can provide important insights to processes previously assessed vi…