29 citations · 145 across the 10 of their papers we have counts for
10 papers
A multi-layer network approach to modelling authorship influence on citation dynamics in physics journals
Vahan Nanumyan, Christoph Gote, Frank Schweitzer
We provide a general framework to model the growth of networks consisting of different coupled layers. Our aim is to estimate the impact of one such layer on the dynamics of the ot…
Citations Driven by Social Connections? A Multi-Layer Representation of Coauthorship Networks
Christian Zingg, Vahan Nanumyan, Frank Schweitzer
To what extent is the citation rate of new papers influenced by the past social relations of their authors? To answer this question, we present a data-driven analysis of nine diffe…
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…
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…
Generalized Hypergeometric Ensembles: Statistical Hypothesis Testing in Complex Networks
Giona Casiraghi, Vahan Nanumyan, Ingo Scholtes +1
Statistical ensembles of networks, i.e., probability spaces of all networks that are consistent with given aggregate statistics, have become instrumental in the analysis of complex…
A conceptual approach to model co-evolution of urban structures
Frank Schweitzer, Vahan Nanumyan
Urban structures encompass settlements, characterized by the spatial distribution of built-up areas, but also transportation structures, to connect these built-up areas. These two…
How do OSS projects change in number and size? A large-scale analysis to test a model of project growth
Frank Schweitzer, Vahan Nanumyan, Claudio J. Tessone +1
Established Open Source Software (OSS) projects can grow in size if new developers join, but also the number of OSS projects can grow if developers choose to found new projects. We…
The Network of Counterparty Risk: Analysing Correlations in OTC Derivatives
Vahan Nanumyan, Antonios Garas, Frank Schweitzer
Counterparty risk denotes the risk that a party defaults in a bilateral contract. This risk not only depends on the two parties involved, but also on the risk from various other co…