28 citations · 255 across the 24 of their papers we have counts for
8 papers · 1 filter
Empirical Networks are Sparse: Enhancing Multi-Edge Models with Zero-Inflation
Giona Casiraghi, Georges Andres
Real-world networks are sparse. As we show in this article, even when a large number of interactions is observed, most node pairs remain disconnected. We demonstrate that classical…
Modeling social resilience: Questions, answers, open problems
Frank Schweitzer, Georges Andres, Giona Casiraghi +5
Resilience denotes the capacity of a system to withstand shocks and its ability to recover from them. We develop a framework to quantify the resilience of highly volatile, non-equi…
Understanding Online Migration Decisions Following the Banning of Radical Communities
Giuseppe Russo, Manoel Horta Ribeiro, Giona Casiraghi +1
The proliferation of radical online communities and their violent offshoots has sparked great societal concern. However, the current practice of banning such communities from mains…
Reconstructing signed relations from interaction data
Georges Andres, Giona Casiraghi, Giacomo Vaccario +1
Positive and negative relations play an essential role in human behavior and shape the communities we live in. Despite their importance, data about signed relations is rare and com…
Spillover of Antisocial Behavior from Fringe Platforms: The Unintended Consequences of Community Banning
Giuseppe Russo, Luca Verginer, Manoel Horta Ribeiro +1
Online platforms face pressure to keep their communities civil and respectful. Thus, the bannings of problematic online communities from mainstream platforms like Reddit and Facebo…
Quantifying Triadic Closure in Multi-Edge Social Networks
Laurence Brandenberger, Giona Casiraghi, Vahan Nanumyan +1
Multi-edge networks capture repeated interactions between individuals. In social networks, such edges often form closed triangles, or triads. Standard approaches to measure this tr…
HYPA: Efficient Detection of Path Anomalies in Time Series Data on Networks
Timothy LaRock, Vahan Nanumyan, Ingo Scholtes +3
The unsupervised detection of anomalies in time series data has important applications in user behavioral modeling, fraud detection, and cybersecurity. Anomaly detection has, in fa…
From Relational Data to Graphs: Inferring Significant Links using Generalized Hypergeometric Ensembles
Giona Casiraghi, Vahan Nanumyan, Ingo Scholtes +1
The inference of network topologies from relational data is an important problem in data analysis. Exemplary applications include the reconstruction of social ties from data on hum…