Marijtje A. J. Van Duijn

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In this paper we both describe and analyze the meeting process and the evolution of a friendship network among sociology freshmen in the Netherlands. We develop a theory that explains how changes in the network structure depend on one or more of four main effects: proximity, visible similarity, invisible similarity, and network opportunity. We formulate(More)
The statistical modeling of social network data is difficult due to the complex dependence structure of the tie variables. Statistical exponential families of distributions provide a flexible way to model such dependence. They enable the statistical characteristics of the network to be encapsulated within an exponential family random graph (ERG) model. For(More)
We propose a class of actor-oriented statistical models for closed social networks in general, and friendship networks in particular. The models are random utility models developed within a rational choice framework. Based on social psychological and sociological theories about friendship, mathematical functions capturing expected utility of individual(More)
In this paper, it is shown that multilevel methods are particularly well-suited for the analysis of relations in personal networks and the changes in these relations. Justice is done to the hierarchical nested structure of the data and the resulting dependence between observations ‘‘within egos’’. Multilevel techniques can also give more specific insight on(More)
This study aimed to test how the sex and reproductive status of Eurasian lynx influenced their use of ‘attractive sinks’ – habitats with high prey density and high mortality risks. Locations of 24 Eurasian lynx Lynx lynx were obtained by radiotelemetry in a mixed forest and agricultural habitat in south-eastern Norway. Roe deer, the major food source of(More)
Social discrimination, defined as the relative preference for intra-ethnic over inter-ethnic relationships, nter-ethnic relationships ultilevel p2 model eighborhood composition ocial discrimination was studied in pupils’ networks in Dutch secondary school classes. While native Dutch pupils (ethnic majority members) mainly named fellow majority members,(More)
A random effects model is proposed for the analysis of binary dyadic data that represent a social network or directed graph, using nodal and/or dyadic attributes as covariates. The network structure is reflected by modeling the dependence between the relations to and from the same actor or node. Parameter estimates are proposed that are based on an iterated(More)
Actor-oriented models are proposed for the statistical analysis of longitudinal social network data. These models are implemented as simulation models, and the statistical evaluation is based on the method of moments and the Robbins-Monro process applied to computer simulation outcomes. In this approach, the calculations that are required for statistical(More)
The existence of ethnic boundaries in 20 pupils’ networks is tested by comparing the proportion of intra-ethnic to inter-ethnic relationships, while controlling for the distribution of intraand inter-ethnic dyads in pupils’ networks. Also, we tested if those boundaries are affected by the inclinations of network members in choosing intra-ethnic group(More)