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D. T. Schroeder

Explaining News Spreading Phenomena in Social Networks

In Technische Universität Berlin. Vol. PhD, 2022.
PhD Thesis
2022
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K. Langedal, J. Langguth, F. Manne and D. T. Schroeder

Efficient Minimum Weight Vertex Cover Heuristics Using Graph Neural Networks

In 20th International Symposium on Experimental Algorithms (SEA 2022). Vol. 233. Dagstuhl, Germany: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2022.
Proceedings, refereed
2022
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J. Moe, K. Pogorelov, D. T. Schroeder and J. Langguth

Implementing Spatio-Temporal Graph Convolutional Networks on Graphcore IPUs

In 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). Lyon, France: IEEE, 2022.
Proceedings, refereed
2022
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A. Huber, D. T. Schroeder, K. Pogorelov, C. Griwodz and J. Langguth

A Streaming System for Large-scale Temporal Graph Mining of Reddit Data

In 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). Lyon, France: IEEE, 2022.
Proceedings, refereed
2022
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2021

Talks, keynote

D. T. Schroeder

Explaining News Spreading Phenomena in Social Networks

In Händlerlogo BI Norwegian Business School, 2021.
Status: Published

Talks, invited

D. T. Schroeder and J. Langguth

Spreading Online Misinformation

In Data-SKUP 2021, 2021.
Status: Published

Talks, contributed

J. Langguth, P. Filkukova, D. T. Schroeder and K. Pogorelov

Will technical means help in preventing digital wildfires?

In 6th World Conference on Media and Mass Communication, Cagliari, Italy, 2021.
Status: Published
2020

Proceedings, refereed

L. Burchard, D. T. Schroeder, S. Becker and J. Langguth

Resource Efficient Algorithms for Message Sampling in Online Social Networks

In The Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS-2020). IEEE, 2020.
Status: Published
L. Burchard, D. T. Schroeder, K. Pogorelov, S. Becker, E. Dietrich, P. Filkukova and J. Langguth

A Scalable System for Bundling Online Social Network Mining Research

In 2020 Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS). IEEE, 2020.
Status: Published
K. Pogorelov, D. T. Schroeder, P. Filkukova and J. Langguth

A System for High Performance Mining on GDELT Data

In 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). IEEE, 2020.
Status: Published
K. Pogorelov, D. T. Schroeder, L. Burchard, J. Moe, S. Brenner, P. Filkukova and J. Langguth

FakeNews: Corona Virus and 5G Conspiracy Task at MediaEval 2020

In Media Eval Challange 2020. CEUR, 2020.
Status: Published
D. T. Schroeder, P. Lind, K. Pogorelov and J. Langguth

A Framework for Interaction-based Propagation Analysis in Online Social Networks

In Complex Networks. Springer, 2020.
Status: Accepted
D. T. Schroeder, K. Pogorelov and J. Langguth

Evaluating Standard Classifiers for Detecting COVID-19 related Misinformation

In MediaEval 2020. CEUR, 2020.
Status: Published

Posters

J. Langguth, D. T. Schroeder, K. Pogorelov and P. Filkukova

Graph Structure Based Monitoring of Digital Wildfires

6th International Conference on Computational Social Science, Boston, MA, USA, 2020.
Status: Published