Ágnes Horvát

Assistant Professor
School of Communication
Kellogg School of Management (by courtesy)
Northwestern Institute on Complex Systems (NICO)
Northwestern University

Frances Searle Building, Rm 2-254
2240 Campus Drive, Evanston IL 60208

Email: a-horvat@northwestern.edu
Phone: +1 (847) 467 6465
Office hours: Tuesdays 10am-12pm, Thursdays 12pm-2pm, or by appointment


My research in computational social science focuses on developing theory and methods for studying collective intelligence, crowdsourcing, and the creative industries. I promote an interdisciplinary approach to understand the behavior of connected crowds by building on techniques from network science, machine learning, statistics, and exploratory visualization.

Before joining the School of Communication I was a post-doctoral researcher at the Northwestern Institute on Complex Systems (NICO). I earned my Ph.D. in Interdisciplinary Physics from Heidelberg University, Germany in 2013. I also hold a B.Sc. in Physics and Computer Science from the Babeș-Bolyai University, Romania and a B.A. in Photography, Film, and Media from the Sapientia University, Romania.


Culture Analytics [M.Sc. in Leadership for Creative Enterprises, Fall 2016]

Big data is currency, to those initiated in the nuts and bolts of data science. This data literacy course introduces research on cultural markets, social media, and crowdsourcing, and provides tools to practically apply this research. Students will learn how to plot and interpret graphs that measure performance in a cultural market; use Internet search data, Google's Ngram Viewer, and Twitter conversations to forecast trends; build, visualize, and explore networks; train machine learning algorithms for prediction; and use Amazon's Mechanical Turk for crowdsourcing. Accept an open mind, there are no prerequisites for the class. While formal thinking is encouraged, the course focuses on providing conceptual foundations and hands-on tools that apply across a variety of creative sectors.


A Spitz, A Gimmler, T Stoeck, KA Zweig, E-Á Horvát, Assessing low-intensity relationships in complex networks, PLOS ONE 11(4): e0152536, 2016

E-Á Horvát, J Uparna, B Uzzi, Market- vs network relations: The effect of friends in crowdfunding, Proc. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

A Spitz and E-Á Horvát, Measuring long-term impact based on network centrality: unraveling cinematic citations, PLOS ONE 9(10): e108857, 2014

E-Á Horvát and KA Zweig, A fixed degree sequence model for the one-mode projection of multiplex bipartite graphs, Social Network Analysis and Mining 3(4):1209-1224, 2013

E-Á Horvát, M Hanselmann, FA Hamprecht, KA Zweig, One plus one makes three (for social networks), PLOS ONE 7(4):e34740, 2012 [Covered in New Scientist, Spiegel Online, IEEE Spectrum, Sci News, PC Mag, The Times of India, Népszabadság]