Zobrazeno 1 - 10
of 124
pro vyhledávání: '"Lerner, Jürgen"'
Autor:
Mihăilă, Bianca-Elena, Hâncean, Marian-Gabriel, Perc, Matjaž, Lerner, Jürgen, Oană, Iulian, Geantă, Marius, Molina, José Luis, Cioroboiu, Cosmina
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 personal networks and sociodemographic factors in predicting smoking sta
Externí odkaz:
http://arxiv.org/abs/2408.14832
Understanding why researchers cite each other has been a longstanding conjecture in studying scientific networks. Prior research suggests relevance, group cohesion, or honest source crediting as possible factors. However, the dual nature of cognitive
Externí odkaz:
http://arxiv.org/abs/2407.21067
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 science. Extant research typically restricts the analytical focus to either
Externí odkaz:
http://arxiv.org/abs/2308.01722
Publikováno v:
In Social Networks July 2024 78:1-11
Autor:
Lerner, Jürgen, Lomi, Alessandro
Polyadic, or "multicast" social interaction networks arise when one sender addresses multiple receivers simultaneously. Currently available relational event models (REM) are not well suited to the analysis of polyadic interaction networks because the
Externí odkaz:
http://arxiv.org/abs/2112.10552
We discuss a recently proposed family of statistical network models - relational hyperevent models (RHEM) - for analyzing team selection and team performance in scientific coauthor networks. The underlying rationale for using RHEM in studies of coaut
Externí odkaz:
http://arxiv.org/abs/2105.01562
Autor:
Hâncean, Marian-Gabriel1,2 (AUTHOR) gabriel.hancean@sas.unibuc.ro, Lerner, Jürgen3,4 (AUTHOR), Perc, Matjaž5,6,7,8,9 (AUTHOR), Molina, José Luis10 (AUTHOR), Geantă, Marius11 (AUTHOR)
Publikováno v:
Scientific Reports. 2/9/2024, Vol. 14 Issue 1, p1-12. 12p.
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 time-varying event rates for the full space of directed or undirected h
Externí odkaz:
http://arxiv.org/abs/1912.07403
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