Bokányi Eszter
PhD student
Supervisor: Gábor Vattay, (2019)Department of Physics of Complex Systems
Room(s): Lágymányos Campus, Northern Building E5.57Phone(s): n.a.
Extension(s): n.a.
Mobile(s): n.a.
Homepage: bokae.web.elte.hu
Email: uh.etle.xelpmoc@iynakob
Biography:
Eszter Bokányi is currently a PhD student at the Department of Physics of Complex Systems at ELTE, and a Junior Research Fellow at the CERS ANET Lendület Research Group. Her main research interest is studying how socialphenomena can be captured through statistical physical methods by using various digital fingerprints of individuals.
Links to associated scientific database profiles:
- Publications in MTMT
- Publications in ORCID
- Publications in ResearcherID
- Publications in Scopus
- Publications in Google Scholar
- User profile at doktori.hu
Selected publications of recent years:
- Bokányi, E., Kondor, D., & Vattay, G. (2019). Scaling in words on Twitter. Royal Society Open Science, 6(10), 190027. link
- Bokányi E., Kallus, Zs. & Gódor, I. “Collective Sensing of EvolvingUrban Structures: from Activity-based to Content-Aware Social Monitoring”. Environment and Planning B: Urban Analytics and City Science, 2399808319848760 (2019)
- Bokányi, E., Szállási, Z. & Vattay, G. “Universal scaling laws in metro area election results”. PLOS ONE (ed Braha, D.) e0192913 (2018)
- Bokányi, E., Lábszki, Z. & Vattay, G. “Prediction of employment and unemployment rates from Twitter daily rhythms in the US”. European Physical Journal Data Science 6, (1)14 (2017)
- Bokányi, E., Kondor, D., Dobos, L., Sebők, T., Stéger, J., Csabai, I.& Vattay, G. “Race, religion and the city: Twitter word frequency patterns reveal dominant demographic dimensions in the United States”. Palgrave Communications 2,16010 (2016)