no code implementations • 11 Apr 2023 • Ambra Amico, Luca Verginer, Giona Casiraghi, Giacomo Vaccario, Frank Schweitzer
Supply chain disruptions cause shortages of raw material and products.
no code implementations • 7 Sep 2022 • Georges Andres, Giona Casiraghi, Giacomo Vaccario, Frank Schweitzer
We evaluate the importance of triads in the signed network to study group cohesion.
no code implementations • 19 May 2022 • Giuseppe Russo, Christoph Gote, Laurence Brandenberger, Sophia Schlosser, Frank Schweitzer
These representations predict active and passive cosponsorship with an F1-score of 0. 88.
no code implementations • 16 May 2022 • Giacomo Vaccario, Luca Verginer, Antonios Garas, Mario V. Tomasello, Frank Schweitzer
Firms' innovation potential depends on their position in the R&D network.
no code implementations • 14 Jan 2021 • Frank Schweitzer, Luca Verginer, Giacomo Vaccario
The resulting budget is spent to cover administrative costs and to pay a bonus to cooperative agents, which can be identified correctly only with a probability $p$.
Physics and Society Multiagent Systems General Economics Adaptation and Self-Organizing Systems Economics
no code implementations • 13 Jan 2021 • Yan Zhang, Frank Schweitzer
The reputation of firms is largely channeled through their ownership structure.
Physics and Society Systems and Control General Economics Systems and Control Economics
no code implementations • 13 Jul 2020 • Christoph Gote, Giona Casiraghi, Frank Schweitzer, Ingo Scholtes
We propose a novel sequence prediction method for sequential data capturing node traversals in graphs.
1 code implementation • 25 May 2019 • Timothy LaRock, Vahan Nanumyan, Ingo Scholtes, Giona Casiraghi, Tina Eliassi-Rad, Frank Schweitzer
Anomaly detection has been extensively studied in categorical sequences, however we often have access to time series data that contain paths through networks.
Social and Information Networks Physics and Society
1 code implementation • 8 May 2019 • Laurence Brandenberger, Giona Casiraghi, Vahan Nanumyan, Frank Schweitzer
Standard approaches to measure this triadic closure, however, fail for multi-edge networks, because they do not consider that triads can be formed by edges of different multiplicity.
Social and Information Networks Physics and Society Methodology
1 code implementation • 25 Mar 2019 • Christoph Gote, Ingo Scholtes, Frank Schweitzer
Data from software repositories have become an important foundation for the empirical study of software engineering processes.
Software Engineering
1 code implementation • 14 Jun 2017 • Giona Casiraghi, Vahan Nanumyan, Ingo Scholtes, Frank Schweitzer
We show how this framework can be used to assess the significance of links in noisy relational data.
Social and Information Networks Physics and Society Methodology 05C82, 91D30, 60C99, 62H10, 62H99
1 code implementation • 8 Jul 2016 • Giona Casiraghi, Vahan Nanumyan, Ingo Scholtes, Frank Schweitzer
Studying empirical and synthetic data, we show that our approach provides broad perspectives for model selection and statistical hypothesis testing in data on complex networks.
Physics and Society Social and Information Networks Combinatorics Data Analysis, Statistics and Probability 05C82 (Primary), 62H15 (Secondary)