Ágnes Horvát

Assistant Professor
Communication Studies, School of Communication
Computer Science, McCormick School of Eng (by courtesy)
MORS, Kellogg School of Management (by courtesy)
Northwestern Institute on Complex Systems (NICO)
Northwestern University Transportation Center (NUTC)
Northwestern University

Frances Searle Building
2240 Campus Drive, 1-156
Evanston, IL 60208

Email: a-horvat@northwestern.edu
Phone: +1 (847) 467 6465
Office hours: by appointment


♦ I received an NSF CAREER award to study and improve online scholarly communication.
♦ My research group welcomes talented Ph.D. students Katherine O'Toole (TSB), Herminio Bodon (TSB), and Rod Abhari (MTS).
♦ New paper at AAAI ICWSM on the diffusion of scientific articles across platforms.


I develop network and data science approaches to understand and support collective intelligence in Web-based systems. Capitalizing on my background in physics, computer science, film and media, my work uses a multidisciplinary empirical approach to uncover the dynamics of success in knowledge creation and cultural markets, as well as to identify expressions of the wisdom of crowds that facilitate decision-making and innovation. I developed and teach the ‘Cultural Analytics’ course to train students for careers at the intersection of creative occupations and data science. My current research is funded by the National Science Foundation through a CRII grant (IIS-1755873) and a CAREER award (IIS-1943506). More details about projects that we are working on currently.


See my C.V. for a complete listing.

I Zakhlebin and E-Á Horvát, Diffusion of scientific articles across online platforms, AAAI Conference on Web and Social Media, Atlanta, GA, 2020

H Dambanemuya and E-Á Horvát, Harnessing collective intelligence in P2P lending, ACM Web Science, Boston, 2019 [pdf]

Y Wang and E-Á Horvát, Gender differences in the global music industry: Evidence from MusicBrainz and The Echo Nest, AAAI Conference on Web and Social Media, Munich, Germany, 2019 [pdf] [Press Coverage: WGN Radio, WBBM Radio]

E-Á Horvát, J Wachs, R Wang, A Hannák, The role of novelty in securing investors for equity crowdfunding campaigns, AAAI Conference on Human Computation and Crowdsourcing, Zurich, Switzerland, 2018 [pdf]

P Singh, J Uparna, P Karampourniotis, E-Á Horvát, B Szymanski, Gy Korniss, JZ Bakdash, B Uzzi, Peer-to-peer lending and bias in crowd decision-making, PLOS One 13(3): e0193007, 2018 [pdf]

E-Á Horvát and T Papamarkou, Gender differences in equity crowdfunding, AAAI Conference on Human Computation and Crowdsourcing, Quebec City, Canada, 2017 [pdf]

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

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 [pdf]

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

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 [pdf]

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


Go to Canvas for enrollment details, syllabi, assigments, and deadlines.

  • Complex Network Analysis [Graduate Seminar: Winter 2020, Winter 2019, Winter 2017]
  • Cultural Analytics [Undergraduate Course: Fall 2019, Winter 2019, Fall 2017, Winter 2017]
  • Cultural and Art Analytics [MSLCE Course: Fall 2019, Fall 2018, Fall 2017, Fall 2016]
  • Social Network Analysis with R [Graduate Seminar @ Heidelberg University: Spring 2014]