28 citations · 255 across the 24 of their papers we have counts for
26 papers
Active matter synchronization and synergetics
Frank Schweitzer, Georges Andres, Adrien Baut +3
We study the collective behavior in a stochastic agent-based model of active matter. Provided a critical take-up of energy, agents produce two types of goods , that follow a…
The nonlinear economy (I): How resource constrains lead to business cycles
Frank Schweitzer, Giona Casiraghi
We explore the nonlinear dynamics of a macroeconomic model with resource constraints. The dynamics is derived from a production function that considers capital and a generalized fo…
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…
Disentangling the Timescales of a Complex System: A Bayesian Approach to Temporal Network Analysis
Giona Casiraghi, Georges Andres
Changes in the timescales at which complex systems evolve are essential to predicting critical transitions and catastrophic failures. Disentangling the timescales of the dynamics g…
Locating Community Smells in Software Development Processes Using Higher-Order Network Centralities
Christoph Gote, Vincenzo Perri, Christian Zingg +5
Community smells are negative patterns in software development teams' interactions that impede their ability to successfully create software. Examples are team members working in i…
Adapting to Disruptions: Flexibility as a Pillar of Supply Chain Resilience
Ambra Amico, Luca Verginer, Giona Casiraghi +2
Supply chain disruptions cause shortages of raw material and products. To increase resilience, i.e., the ability to cope with shocks, substituting goods in established supply chain…
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…
Struggling with change: The fragile resilience of collectives
Frank Schweitzer, Christian Zingg, Giona Casiraghi
Collectives form non-equilibrium social structures characterised by a volatile dynamics. Individuals join or leave. Social relations change quickly. Therefore, differently from eng…
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…
The downside of heterogeneity: How established relations counteract systemic adaptivity in tasks assignments
Giona Casiraghi, Christian Zingg, Frank Schweitzer
We study the lock-in effect in a network of task assignments. Agents have a heterogeneous fitness for solving tasks and can redistribute unfinished tasks to other agents. They lear…
The likelihood-ratio test for multi-edge network models
Giona Casiraghi
The complexity underlying real-world systems implies that standard statistical hypothesis testing methods may not be adequate for these peculiar applications. Specifically, we show…
Fragile, yet resilient: Adaptive decline in a collaboration network of firms
Frank Schweitzer, Giona Casiraghi, Mario V. Tomasello +1
The dynamics of collaboration networks of firms follow a life-cycle of growth and decline. That does not imply they also become less resilient. Instead, declining collaboration net…
Predicting Sequences of Traversed Nodes in Graphs using Network Models with Multiple Higher Orders
Christoph Gote, Giona Casiraghi, Frank Schweitzer +1
We propose a novel sequence prediction method for sequential data capturing node traversals in graphs. Our method builds on a statistical modelling framework that combines multiple…
Intervention scenarios to enhance knowledge transfer in a network of firm
Frank Schweitzer, Yan Zhang, Giona Casiraghi
We investigate a multi-agent model of firms in an R\&D network. Each firm is characterized by its knowledge stock , which follows a non-linear dynamics. It can grow with…
Probing the robustness of nested multi-layer networks
Giona Casiraghi, Antonios Garas, Frank Schweitzer
We consider a multi-layer network with two layers, , . Their intra-layer topology shows a scale-free degree distribution and a core-periphery stru…
Improving the robustness of online social networks: A simulation approach of network interventions
Giona Casiraghi, Frank Schweitzer
Online social networks (OSN) are prime examples of socio-technical systems in which individuals interact via a technical platform. OSN are very volatile because users enter and exi…
What is the Entropy of a Social Organization?
Christian Zingg, Giona Casiraghi, Giacomo Vaccario +1
We quantify a social organization's potentiality, that is its ability to attain different configurations. The organization is represented as a network in which nodes correspond to…
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…
Analytical Formulation of the Block-Constrained Configuration Model
Giona Casiraghi
We provide a novel family of generative block-models for random graphs that naturally incorporates degree distributions: the block-constrained configuration model. Block-constraine…
Generalised hypergeometric ensembles of random graphs: the configuration model as an urn problem
Giona Casiraghi, Vahan Nanumyan
We introduce a broad class of random graph models: the generalised hypergeometric ensemble (GHypEG). This class enables to solve some long standing problems in random graph theory.…
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…