activity
20192025
most citedMicro-level network dynamics of scientific collaboration and impact: relational hyperevent models for the analysis of coauthor networks

26 citations · 78 across the 6 of their papers we have counts for

collaborators

6 papers

physics.soc-ph2025★ 5 cited

Modeling temporal hypergraphs

Jürgen Lerner, Marian-Gabriel Hâncean, Matjaz Perc

Networks representing social, biological, technological or other systems are often characterized by higher-order interaction involving any number of nodes. Temporal hypergraphs are…

stat.AP2024★ 9 cited

Cross-sectional personal network analysis of adult smoking in rural areas

Bianca-Elena Mihăilă, Marian-Gabriel Hâncean, Matjaž Perc +5

While research on adolescent smoking is extensive, little attention has been given to smoking behaviors among rural middle-aged and older adults. This study examines the role of pe…

cs.DL2023★ 16 cited

Relational hyperevent models for the coevolution of coauthoring and citation networks

Jürgen Lerner, Marian-Gabriel Hâncean, Alessandro Lomi

The development of suitable statistical models for the analysis of bibliographic networks has trailed behind the empirical ambitions expressed by recent studies of science of scien…

stat.ME2021★ 26 cited

Micro-level network dynamics of scientific collaboration and impact: relational hyperevent models for the analysis of coauthor networks

Jürgen Lerner, Marian-Gabriel Hâncean

We discuss a recently proposed family of statistical network models - relational hyperevent models (RHEM) - for analyzing team selection and team performance in scientific coauthor…

cs.SI2020★ 18 cited

Measuring transnational social fields through binational link-tracing sampling

Marian-Gabriel Hâncean, Miranda J. Lubbers, José Luis Molina

We advance binational link-tracing sampling design, an innovative data collection methodology for sampling from transnational social fields, i.e., transnational networks embedding…

cs.SI2019★ 4 cited

REM beyond dyads: relational hyperevent models for multi-actor interaction networks

Jürgen Lerner, Mark Tranmer, John Mowbray +1

We introduce relational hyperevent models (RHEM) as a generalization of relational event models to events occurring on hyperedges involving any number of actors. RHEM can specify t…