A paper entitled ‘Collapse of an online social network: Burning social capital to create it?’ was published in the D1 qualified (2.53 impact factor) Social Networks journal with Júlia Koltai as a co-author. The paper is discussing how the iWIW social media site collapsed from the aspect of connection networks. The paper is ‘open access’, so it can be accessed for free at the following site: https://www.sciencedirect.com/science/article/pii/S0378873317301399
Organising Conferences. Julia Koltai was among the organisers of ‘Women in Data Science Budapest’ conference held on 4 March 2019 at the Central European University. The conference was a partner event of a conference organised at Stanford University with the same title. The session attracted more than 350 participants. The official site of the event and further information is available here: https://www.facebook.com/events/2134883203508900/
The video made at the conference is available here:
Júlia Koltai held a course entitled ‘Structural Equation Modelling (SEM) with R’ from 22 February 2019 to 1 March 2019 at the European Consortium for Political Research Winter School in Methods and Techniques, University of Bamberg. The schedule of the course is available here: https://ecpr.eu/Events/PanelDetails.aspx?PanelID=8356&EventID=127
Ildiko Barna held a presentation entitled “Overt and Subtle Antisemitism in Hungary” at the “Antisemitism, Anti-Zionism, Israel, and the Holocaust” workshop in Salzburg on 23 February 2019, discussing the methods and challenges of measuring antisemitism. Besides presenting the results of surveys on antisemitism in Hungary, she talked about new research opportunities offered by Natural Language Processing (NLP) methods, and also about the work of the research group.
Zoltán Kmetty, Julia Koltai and Karoly Bozsonyi presented their joint research on a poster at the BigSurv18 conference in Barcelona. Their work is focused on depression research in social media (Twitter, Instagram).
A keynote speech entitled ’Data science and statistics’ was held by Renáta Németh on 19 October 2018 at the meeting of the Clinical Biostatistical Society discussing the paradigm of ’big data’ methodology and its relation to ‘classical’ statistics. The discussion was focused mainly on biostatistical relevancy of the subject.
Zoltán Kmetty earned a postdoctoral scholarship offered by MTA. The focus of the scholarship is the application of text analytics in social sciences. In the scholarship program, Zoltán Kmetty is joining the MTA TK CSS-RECENS research team.
Our faculty jointly organised a Hackathon for students with the Precognox data mining corporation and the K-Monitor civil organisation in April, 2018. The aim of the competition was to create analyses and presentations using open-source software for data visualisation, to help to understand problems hiding behind data supplied by civil initiatives – with the deadline of 12 hours.