344 citations · 441 across the 27 of their papers we have counts for
28 papers
MARS: A framework for modelling register-based social networks
Katherine Hamilton, Irina Epure, Frank Takes
Register-based social networks have become of increasing interest in countries where formal government-curated microdata is available. Due to the non-trivial generative process of…
Probabilistic Salary Prediction with Graph Attention Networks and a Mixture Density Network
Zhipei Qin, Mohammad Shokri, N. van Weeren +1
Accurate salary prediction is critical for bridging the information gap between employers and job seekers in modern labor markets. Existing approaches predominantly yield a single…
Fuzzy k-anonymity in complex networks
Rachel G. de Jong, Mark P. J. van der Loo, Frank W. Takes
With the introduction of large-scale network data, including population-scale social networks, techniques for privacy-aware sharing of network data become increasingly important. W…
Individual Fairness in Community Detection: Quantitative Measure and Comparative Evaluation
Fabrizio Corriera, Frank W. Takes, Akrati Saxena
Community detection is a fundamental task in complex network analysis. Fairness-aware community detection seeks to prevent biased node partitions, typically framed in terms of indi…
Fragmentation of a longitudinal population-scale social network: Decreasing structural social cohesion in the Netherlands
Eszter Bokányi, Yuliia Kazmina, Eelke M. Heemskerk +1
Population-level dynamics of social cohesion and its underlying mechanisms remain difficult to study. In this paper, we propose a network approach to measure the evolution of socia…
Link Fraction Mixed Membership Reveals Community Diversity in Aggregated Social Networks
Gamal Adel, Eszter Bokányi, Eelke M. Heemskerk +1
Community detection is a critical tool for understanding the mesoscopic structure of large-scale networks. However, when applied to aggregated or coarse-grained social networks, di…
Can social capital remedy structural inequality? Economic mobility in a longitudinal population-scale social network
Yuliia Kazmina, Eelke M. Heemskerk, Emilia van der Kooij +2
The promise of equal opportunity is a cornerstone of modern societies, yet upward economic mobility remains out of reach for many. Using a decade of population-scale social network…
Freshness, Persistence and Success of Scientific Teams
Hanjo D. Boekhout, Eelke M. Heemskerk, Niccolò Pisani +1
Team science dominates scientific knowledge production, but what makes academic teams successful? Using temporal data on 25.2 million publications and 31.8 million authors, we prop…
Ecological Legacies of Pre-Columbian Settlements Evident in Palm Clusters of Neotropical Mountain Forests
Sebastian Fajardo, Sina Mohammadi, Jonas Gregorio de Souza +13
Ancient populations inhabited and transformed neotropical forests, yet the spatial extent of their ecological influence remains underexplored at high resolution. Here we present a…
Quantifying Group Fairness in Community Detection
Elze de Vink, Frank W. Takes, Akrati Saxena
Understanding community structures is crucial for analyzing networks, as nodes join communities that collectively shape large-scale networks. In real-world settings, the formation…
Utility-aware Social Network Anonymization using Genetic Algorithms
Samuel Bonello, Rachel G. de Jong, Thomas H. W. Bäck +1
Social networks may contain privacy-sensitive information about individuals. The objective of the network anonymization problem is to alter a given social network dataset such that…
Fast maximal clique enumeration in weighted temporal networks
Hanjo D. Boekhout, Frank W. Takes
Cliques, groups of fully connected nodes in a network, are often used to study group dynamics of complex systems. In real-world settings, group dynamics often have a temporal compo…
The relevance of higher-order ties
Alberto Ceria, Frank W. Takes
Higher-order networks effectively represent complex systems with group interactions. Existing methods usually overlook the relative contribution of group interactions (hyperlinks)…
The anonymization problem in social networks
Rachel G. de Jong, Mark P. J. van der Loo, Frank W. Takes
This paper introduces a unified computational framework for the anonymization problem in social networks, where the objective is to maximize node anonymity through graph alteration…
From Contact to Threat: A Social Network Perspective on Perceptions of Immigration
Yuliia Kazmina, Eelke M. Heemskerk, Eszter Bokányi +1
Our perceptions are shaped by the social networks we are embedded in. Despite the acknowledged influence of close contacts on how we perceive the world, the role of the broader soc…
A systematic comparison of measures for publishing k-anonymous social network data
Rachel G. de Jong, Mark P. J. van der Loo, Frank W. Takes
Sharing or publishing social network data while accounting for privacy of individuals is a difficult task due to the interconnectedness of nodes in networks. A key question in k-an…
Connectivity and Community Structure of Online and Register-based Social Networks
Márton Menyhért, Eszter Bokányi, Rense Corten +3
The dominance of online social media data as a source of population-scale social network studies has recently been challenged by networks constructed from government-curated regist…
A large-scale longitudinal structured dataset of the dark web cryptomarket Evolution (2014-2015)
Hanjo D. Boekhout, Arjan A. Blokland, Frank W. Takes
Dark Web Marketplaces (DWM) facilitate the online trade of illicit goods. Due to the illicit nature of these marketplaces, quality datasets are scarce and difficult to produce. The…
Early warning signals for predicting cryptomarket vendor success using dark net forum networks
Hanjo D. Boekhout, Arjan A. J. Blokland, Frank W. Takes
In this work we focus on identifying key players in dark net cryptomarkets that facilitate online trade of illegal goods. Law enforcement aims to disrupt criminal activity conducte…
The effect of distant connections on node anonymity in complex networks
Rachel G. de Jong, Mark P. J. van der Loo, Frank W. Takes
Ensuring privacy of individuals is of paramount importance to social network analysis research. Previous work assessed anonymity in a network based on the non-uniqueness of a node'…
Socio-economic Segregation in a Population-Scale Social Network
Yuliia Kazmina, Eelke M. Heemskerk, Eszter Bokanyi +1
We propose a social network-aware approach to studying socio-economic segregation. The key question that we address is whether patterns of segregation are more pronounced in social…
The anatomy of a population-scale social network
Eszter Bokányi, Eelke M. Heemskerk, Frank W. Takes
Large-scale human social network structure is typically inferred from digital trace samples of online social media platforms or mobile communication data. Instead, here we investig…
Modelling and measuring complexity of traditional and ancient technologies using Petri nets
Sebastian Fajardo, Jetty Kleijn, Frank W. Takes +1
Technologies and their production systems are used by archaeologists and anthropologists to study complexity of sociotechnical systems. However, there are several issues that hampe…
Holding Periods: Measuring the Inverse of Money Velocity from Transaction Records
Carolina E. S. Mattsson, Allison Luedtke, Frank W. Takes
This paper defines the average holding period of money and proposes a methodology for fully disaggregated measurement. Our measure is shown to be the inverse of the transfer veloci…