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 • 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
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)
