I am a computational social scientist specializing in network methods. My dissertation is on corruption and collusion in public procurement markets. I also study the relationship between social network position on success in legislatures and online communities.
Corruption, government turnover, and public contracting market structure – Insights using network analysis and objective corruption proxies
Mihály Fazekas, Jiří Skuhrovec, Johannes Wachs
Government Transparency Institute Working Paper GTI-WP/2017:02, September 2017.
Why Do Men Get More Attention? Exploring Factors Behind Success in an Online Design Community
Johannes Wachs, Aniko Hannak, Andras Voros, Balint Daroczy
Proceedings of the 11th International AAAI Conference on Weblogs and Social Media (ICWSM'17), Montreal, May, 2017.
TeachingUsing Big Data for social science research, teaching assistant, CEU Spring 2017
Data Mining, course instructor, AIT Fall 2016
Scientific Python, teaching assistant, CEU Fall 2016, 2017
A bit more about my dissertation topic
The network below visualizes a public procurement market. Dark blue nodes are companies and teal nodes are issuers of contracts like ministries or municipalities. They are connected by an edge if the company won a contract from the issuer. Red edges indicate corruption risk, derived from contract meta-data. I study how network structure and corruption risk are related.