activity
20202026
most citedSplit-Apply-Combine with Dynamic Grouping

1 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

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.SI2024

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…

stat.CO2024★ 1 cited

Split-Apply-Combine with Dynamic Grouping

Mark P. J. van der Loo

Partitioning a data set by one or more of its attributes and computing an aggregate for each part is one of the most common operations in data analyses. There are use cases where t…

cs.SI2023★ 1 cited

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'…

stat.CO2020★ 1 cited

Monitoring data in R with the lumberjack package

Mark P. J. van der Loo

Monitoring data while it is processed and transformed can yield detailed insight into the dynamics of a (running) production system. The lumberjack package is a lightweight package…