activity
20162026
most citedUncovering Offshore Financial Centers: Conduits and Sinks in the Global Corporate Ownership Network

344 citations · 441 across the 27 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.SI2026

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…

cs.SI2026

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…

cs.SI2026

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…

cs.SI2026

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…

physics.soc-ph2026

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…

cs.SI2026

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…