Grants per year
Personal profile
Research Interests
Ágnes Horvát seeks to measure, understand, and forecast the collective behavior of networked crowds in large-scale sociotechnical systems like peer-to-peer platforms. Her current research develops empirical and theoretical methods to support creativity and predict success in culture industries, identify expressions of collective intelligence and opportunities for innovation in crowdsourcing communities, as well as detect shared misconceptions and biases in online capital markets. Her work work at the intersection of computational social science and social computing uses an interdisciplinary data-driven approach and builds on techniques from network science, machine learning, statistics, and exploratory visualization.
Education/Academic qualification
Physics and Computer Science, BSc, Babes-Bolyai University
Interdisciplinary Physics, PhD, Heidelberg University
Photography, Film, and Media, BA, Sapientia Hungarian University of Transylvania
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Grants
- 2 Active
CAREER: Transforming Online Scholarly Communication with Networked Crowd Computation
4/1/20 → 3/31/25
Project: Research project
CRII: CHS: Early Detection of Collective Misconceptions with Network-aware Machine Learning Tools
3/15/18 → 2/28/21
Project: Research project
Research Output
(Un)intended consequences of networking on individual and network-level efficiency
Tanaka, K. & Horvát, E. Á., Dec 1 2019, In : Applied Network Science. 4, 1, 77.Research output: Contribution to journal › Article
Open Access
Airbnb’s Reputation System and Gender Differences Among Guests: Evidence from Large-Scale Data Analysis and a Controlled Experiment
Choi, E. & Horvát, E. Á., Jan 1 2019, Social Informatics - 11th International Conference, SocInfo 2019, Proceedings. Weber, I., Darwish, K. M., Wagner, C., Wagner, C., Flöck, F., Zagheni, E., Aref, S. & Nelson, L. (eds.). Springer, p. 3-17 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11864 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Gender differences in the global music industry: Evidence from MusicBrainz and the Echo Nest
Wang, Y. & Horvat, E-A., Jan 1 2019, p. 517-526. 10 p.Research output: Contribution to conference › Paper
Harnessing collective intelligence in P2P lending
Dambanemuya, H. K. & Horvat, E-A., Jun 26 2019, WebSci 2019 - Proceedings of the 11th ACM Conference on Web Science. Association for Computing Machinery, Inc, p. 57-64 8 p. (WebSci 2019 - Proceedings of the 11th ACM Conference on Web Science).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access
1
Scopus
citations
Investor retention in equity crowdfunding
Zakhlebin, I. & Horvat, E-A., Jun 26 2019, WebSci 2019 - Proceedings of the 11th ACM Conference on Web Science. Association for Computing Machinery, Inc, p. 343-351 9 p. (WebSci 2019 - Proceedings of the 11th ACM Conference on Web Science).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access