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 • 9 Dec 2022 • Giuseppe Russo, Manoel Horta Ribeiro, Giona Casiraghi, Luca Verginer
Specifically, we quantify how these factors affect users' decisions to post on fringe platforms and, for those who do, whether they continue posting on the mainstream platform.
no code implementations • 20 Sep 2022 • Giuseppe Russo, Luca Verginer, Manoel Horta Ribeiro, Giona Casiraghi
Using a difference-in-differences design, we contrast co-active users with matched counterparts to estimate the causal effect of fringe platform participation on users' antisocial behavior on Reddit.
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 • 22 Feb 2021 • Giona Casiraghi
We provide a solution to the problem by providing a better approximation of the likelihood-ratio test null-distribution through a Beta distribution.
Methodology Data Analysis, Statistics and Probability Physics and Society
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
2 code implementations • 12 Nov 2018 • Giona Casiraghi
We provide a novel family of generative block-models for random graphs that naturally incorporates degree distributions: the block-constrained configuration model.
Physics and Society Social and Information Networks Probability Methodology 05C80, 05C82, 62-07, 62H17, 60C05
1 code implementation • 15 Oct 2018 • Giona Casiraghi, Vahan Nanumyan
We introduce a broad class of random graph models: the generalised hypergeometric ensemble (GHypEG).
Probability Social and Information Networks Data Analysis, Statistics and Probability Physics and Society 05C80, 60C05
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
2 code implementations • 7 Feb 2017 • Giona Casiraghi
We introduce a statistical method to investigate the impact of dyadic relations on complex networks generated from repeated interactions.
Physics and Society Social and Information Networks Methodology 62H12, 62H15
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)
