• Source: Scopus
20102020

Research activity per year

If you made any changes in Pure these will be visible here soon.

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

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.

Network

Recent external collaboration on country level. Dive into details by clicking on the dots.
If you made any changes in Pure these will be visible here soon.