Members

Matteo Magnani

Matteo Magnani
Professor

Christian Rohner

Christian Rohner
Professor

Davide Vega D'Aurelio

Davide Vega D'Aurelio
Assistant Professor

Ece Calikus

Ece Calikus
Assistant Professor

Victoria Yantseva

Victoria Yantseva
PostDoc

Nora Al-Naami

Nora Al-Naami
PhD Student (LIST)

Georgios Panayiotou

Georgios Panayiotou
PhD Student

Xin Shen

Xin Shen
PhD Student

Diletta Goglia

Diletta Goglia
PhD Student

Matias Piqueras

Matias Piqueras
PhD Student

Inga Wohlert

Inga Wohlert
PhD Student

Associate members1

Mohammad Ghoniem, Lead Researcher, Luxembourg Institute of Science and Technology.

Luca Rossi, Associate professor, IT University of Copenhagen.

Alexandra Segerberg, Associate professor, Dept. of Government, Uppsala University.

Past members2

Luigi Arminio, Visiting PhD Student, IT University Copenhagen (2024).

Alessio Gandelli, ERASMUS+ Trainee, University of Trento (2023/24).

Lorenzo Mannocci, Visiting PhD Student (2023/24).

Carla Galluccio, Visiting PhD Student, University of Florence (2022).

Valeria Policastro, Visiting PhD Student, National Research Council (CNR) (2022).

Diego Perna, Visiting PhD Student, University of Calabria (2019).

Roberto Interdonato, Postdoctoral researcher (2017).

Alumni3

Christian Ocklind, BSc student (2023)
A Comparative Analysis of Multilayer Network Software.

Amin Kaveh, PhD student (2022)
Modelling and Analysis of Probabilistic Networks.

Alexander Tsakiris, MSc student (2022)
The Portrayal of the 2022 Russian Invasion of Ukraine on Social Media.

Benedict Treeby, MSc student (2022)
Tracking the Conversation around NATO in the Nordic States Using Machine Learning.

Katarzyna Kowalczyk, MSc student (2021)
The configuration model for multi-layer networks formation.

Jonas Olsson, MSc student (2021)
Modeling topics and semantic similarity with data from YouTube community discussions on climate change.

Nithesh Chandher Karthikeyan, MSc student (2021)
Analysis of visual political communication on YouTube.

Simon Wallbing, BSc student (2021)
Computational Analysis of Swedish Newspapers Using Topic Detection and Sentiment Analysis.

Alfred Nilsson, BSc student (2021)
Implementing and Evaluating Clustering Methods for Large Probabilistic Graphs.

Tyson McLeod, MSc student (2021)
Designing an algorithm to build communities by combining semi-cliques spanning multiple graphs.

Rinyarat Buakhao, BSc student (2021)
A comparative evaluation of network mining methods with and without graph embedding.

Agaton Svenaeus, MSc student (2020)
Fantastic bots and where to find them.

Oskar Dahlin, BSc student (2020)
Implementing and Evaluating sparsification methods in probabilistic networks.

Pelle Ingvast, BSc student (2020)
Analysis of the online Swedish political discourse.

Sinae Lee, BSc student (2020)
Dictionary extension for topic analysis of Swedish online texts.

Anton Norberg, MSc student (2019)
Mapping Swedish Parties by Subject Participation on Twitter.

Fredrik Jonasson, BSc student (2019)
A system for GDPR-compliant collection of social media data - from legal to software requirements.

Man Dan Ly, BSc student (2019)
Text to features for Swedish text.

Nam Nguyen-Hai, MSc student (2018)
Pattern Detection in Bipartite Temporal Network.

Axel Lindegren, MSc student (2018)
Partitioning temporal networks - A study of finding the optimal partition of temporal networks using community detection.

Patrik Seiron, BSc student (2018)
Random Reference Models and Network Rewiring in Temporal Network Clustering.

Hampus Falk, BSc student (2018)
Measure development and social media analysis using temporal text networks.

Mikael Dubik, MSc student (2017)
A comparative evaluation of state-of-the-art community detection algorithms for multiplex networks.

Nazanin Afsarmanesh, MSc student (2017)
Clustering Multilayer Networks.

Victor Morel, MSc student (2017)
Generating co-evolutionary polarized opinion networks.

Ismail Elouafiq, MSc student (2017)
Implementation and Simulation Study of Methods for the Evolution of Interdependent Networks.

Kristofer Sundequist Blomdahl, BSc student (2017)
An evaluation of random-walk based clustering of multiplex networks.

  1. Associate members are affiliated with other Departments or Universities, but actively contribute to the Infolab, for example as project co-Principal Investigators or as co-supervisors of junior members. ↩

  2. Visiting researchers who spent a significant amount of time (normally a few months) at the Infolab and previous members (PhD students, postdocs, etc.). ↩

  3. Master and Bachelor students who did their thesis at the Infolab. ↩