Armin Pournaki
Scholar

Armin Pournaki

Google Scholar ID: uSPJvTkAAAAJ
Max Planck Institute for Mathematics in the Sciences, Leipzig // Laboratoire Lattice, ENS-PSL, Paris
Computational Social ScienceNatural Language ProcessingComplex Networks
Citations & Impact
All-time
Citations
126
 
H-index
5
 
i10-index
4
 
Publications
16
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Published multiple preprints and peer-reviewed articles on topics such as conflicting narratives and polarization, a political cartography of news sharing, and a graph-based approach to extracting narrative signals from public discourse. Developed several software projects, including the twitter explorer, a framework for non-programmers to collect, transform, and explore Twitter data as interactive networks.
Research Experience
  • Part of the SoMe4Dem project, aiming to provide stronger empirical evidence for the impact of social media on political debates and democratic processes. Previously, part of the ODYCCEUS project, where he wrote his master's thesis on opinion-dynamics based approaches to community detection and contributed by designing opinion observatories like the twitter explorer.
Education
  • Joint PhD candidate at the Max Planck Institute for Mathematics in the Sciences (advisors: Jürgen Jost, Eckehard Olbrich), Laboratoire Lattice, CNRS & ENS-PSL (advisor: Thierry Poibeau), and SciencesPo médialab (advisor: Jean-Philippe Cointet). Bachelor's thesis in theoretical physics at Technische Universität Berlin on synchronization patterns in modular neuronal networks (supervisor: Philipp Hövel).
Background
  • Research interests include Computational Social Science, Narratives, Natural Language Processing, Complex Networks, and Data Visualization. His work focuses on computationally extracting (political) narratives from raw text and empirically investigating their role in phenomena like polarization and issue alignment.
Miscellany
  • Teaching assistant at École Nationale des Chartes, Paris, and CEU Vienna, teaching courses on network analysis and computational social science.
Co-authors
0 total
Co-authors: 0 (list not available)