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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 University

Fingerprint Dive into the research topics where Emoke-Agnes Horvat is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

MicroRNAs Medicine & Life Sciences
Visualization Engineering & Materials Science
Innovation Engineering & Materials Science
Social Support Medicine & Life Sciences
Economics Engineering & Materials Science
Telecommunication networks Engineering & Materials Science
Benchmarking Medicine & Life Sciences
Cell Cycle Proteins Medicine & Life Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Grants 2018 2020

Learning systems
Students
Economics
Online systems
Complex networks

Research Output 2010 2019

  • 225 Citations
  • 13 Article
  • 9 Conference contribution
  • 1 Entry for encyclopedia/dictionary
  • 1 Paper

(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 journalArticle

Open Access
Networking
Structural Change
Communication
Tie
Telecommunication networks

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 conferencePaper

Innovation
Byproducts
Labels
Industry

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 proceedingConference contribution

Open Access
Sustainable development
Students
Economics

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 proceedingConference contribution

Open Access
1 Citation (Scopus)

Networking strategies and efficiency in human communication networks

Tanaka, K. & Horvat, E-A., Jan 1 2019, Complex Networks and Their Applications VII - Volume 2 Proceedings The 7th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2018. Aiello, L. M., Cherifi, H., Lió, P., Rocha, L. M., Cherifi, C. & Lambiotte, R. (eds.). Springer Verlag, p. 258-270 13 p. (Studies in Computational Intelligence; vol. 813).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Telecommunication networks
Information theory
Heterogeneous networks
Communication
Computer simulation