344 citations · 441 across the 27 of their papers we have counts for
14 papers · 1 filter
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…
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…
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 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…
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…
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'…
Centrality in the Global Network of Corporate Control
Frank W. Takes, Eelke M. Heemskerk
Corporations across the world are highly interconnected in a large global network of corporate control. This paper investigates the global board interlock network, covering 400,000…