Ágnes Horvát

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

NEWS

11/17 I am giving a talk at the European Symposium Series on Societal Challenges in Computational Social Science in London
10/27 I am giving a talk at HCOMP in Quebec City
10/07 Our paper on emulating critical acclaim and popularity got accepted to Complex Networks. Congrats to Igor!
07/10 I am giving a keynote at IC2S2 in Cologne
07/03 Our paper on the emergence of collective intelligence in crowdfunding communities got accepted to SocInfo

SHORT BIO

My research in computational social science focuses on understanding the collective behavior of networked crowds in large-scale sociotechnical systems like peer-to-peer platforms and social media. I am currently working on developing empirical and theoretical methods to identify patterns of collective intelligence in crowdfunding communities, gender-related differences in online capital markets, and predicting success in cultural industries. My work uses an interdisciplinary data-driven approach and builds 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 an M.Sc. and 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.

CURRENT STUDENTS

Igor Zakhlebin
Sam Mandlsohn

PROSPECTIVE STUDENTS

  • I advise graduate students in two PhD Programs: Technology and Social Behavior and Media, Technology, and Society. Prospective graduate students should apply through one of these programs. Application deadlines in December!
  • I am always looking for outstanding undergraduates to get involved in research. Prospective undergraduate students are encouraged to send me an email with their inquiry.

TEACHING

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

  • Cultural Analytics [Undergraduate Course, Fall 2017]
  • Cultural and Art Analytics [Masters Course, Fall 2017]
  • Complex Network Analysis [Graduate Seminar, Winter 2017]
  • Cultural Analytics [Undergraduate Course, Winter 2017]
  • Cultural and Art Analytics [Masters Course, Fall 2016]
  • Social Network Analysis with R [Graduate Seminar, Spring 2014]

PUBLICATIONS

I Zakhlebin and E-Á Horvát, Network signatures of success: Emulating expert and crowd assessment in science, art, and technology, Complex Networks, Lyon, France, 2017

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

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

W Schaluch, E-Á Horvát, KA Zweig, Different flavors of randomness: comparing random graph models with fixed degree sequences, Social Network Analysis and Mining 5:36, 2015

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, Multiplex networks, Encyclopedia of Social Network Analysis and Mining, Springer, 2014

A Spitz and E-Á Horvát, A cookbook of cinematic delicacies that do not expire, Leonardo 47(3):271, 2014

E-Á Horvát, Modelling and inferring connections in complex networks, PhD thesis, 2013

E-Á Horvát, JD Zhang, S Uhlmann, Ö Sahin, KA Zweig, A network-based method to assess the statistical significance of mild co-regulation effects, PLOS ONE 8(9):e73413, 2013

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

A Spitz, KA Zweig, E-Á Horvát, SICOP: identifying significant co-interaction patterns, Bioinformatics 29(19):2503-4, 2013

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

E-Á Horvát and KA Zweig, One-mode projections of multiplex bipartite graphs, Proc. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pages 598-605, 2012

E-Á Horvát, F Járai-Szabó, Y Brechet, Z Néda, Spring-block approach for crack patterns in glass, Central European Journal of Physics 10(4):926-935, 2012

E-Á Horvát, M Hanselmann, FA Hamprecht, KA Zweig, You are who knows you: Predicting links between non-members of Facebook, In T. Gilbert, M. Kirkilionis, and G. Nicolis, editors, Proceedings of the European Conference on Complex Systems 2012, Springer Proceedings in Complexity, Springer, pages 309-316, 2012

S Uhlmann, H Mannsperger, JD Zhang, E-Á Horvát, C Schmidt, M Küblbeck, F Henjes, A Ward, U Tschulena, KA Zweig, U Korf, S Wiemann, Ö Sahin, Global microRNA level regulation of EGFR-driven cell-cycle protein network in breast cancer, Molecular Systems Biology 8:570, 2012 [News and Views]

F Járai-Szabó, E-Á Horvát, R Vajtai, Z Néda, Spring-block approach for nanobristle patterns, Chem. Phys. Lett. 511(4–6):378-383, 2011

KA Zweig and E-Á Horvát, How to evaluate co-occurrences of products in market-baskets from realworld applications, Proc. Mini-conference on Applied Theoretical Computer Science, 2010

GE Pazienza, K Karacs, E-Á Horvát, G Máté, Designing efficient CNN algorithms by combining manual and automatic techniques, Proc. 12th IEEE International Workshop on Cellular Nanoscale Networks and Applications, 2010

G Máté, E-Á Horvát, T Roska, E Káptalan, Z Néda, Periodicity enhancement of two-mode stochastic oscillators in a CNN type architecture, Proc. 12th IEEE International Workshop on Cellular Nanoscale Networks and Applications, 2010 [Best Student Paper Award]

E-Á Horvát, F Járai-Szabó, G Kaptay, Z Néda, Pattern Formation and Selection in Nanotube Arrays, U.P.B. Scientific Bulletin, Series A 72:1, 2010

Sz Horvát, E-Á Horvát, G Máté, E Káptalan and Z Néda, Unexpected synchronization, Journal of Physics: Conference Series 182:012026, 2009

E-Á Horvát, F Járai-Szabó, Z Néda, Spring-block type models for crack propagation in glass plates, Journal of Optoelectronics and Advanced Materials 10:9, 2008

E-Á Horvát, F Járai-Szabó, Z Néda, Computer Simulation of Glass Plate Cracking In G. Förköli and T. Sági, editors, Adsumus VI, 2008

E-Á Horvát, The one-eyed anatomy. Film and literature in Pálfi György’s Taxidermia In Á. Pethõ, editor, Film. Image. Language, 2007