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No Longer Discrete

Modeling the Dynamics of Social Networks and Continuous Behavior

Bibliographic Data

ID6169575
AuthorsNynke M D Niezink (0000-0003-4199-4841, University of Groningen, Groningen, the Netherlands, corresponding author), Tom Ab Snijders (0000-0003-3157-4157, University of Groningen, Groningen, the Netherlands), Marijtje Van Duijn (0000-0003-0753-3208, University of Groningen, Groningen, the Netherlands)
Year2019
Volume49
Issue1
Pages295-340
Publication date2019-05-09
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSociological Methodology (JOURNAL)
Journal identifiersISSN: 0081-1750 • E-ISSN: 1467-9531
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/0081175019842263
OpenAlexW2944091020
LanguageEN
Citations received9
References cited69

The dynamics of individual behavior are related to the dynamics of the social structures in which individuals are embedded. This implies that in order to study social mechanisms such as social selection or peer influence, we need to model the evolution of social networks and the attributes of network actors as interdependent processes. The stochastic actor-oriented model is a statistical approach to study network-attribute coevolution based on longitudinal data. In its standard specification, the coevolving actor attributes are assumed to be measured on an ordinal categorical scale. Continuous variables first need to be discretized to fit into such a modeling framework. This article presents an extension of the stochastic actor-oriented model that does away with this restriction by using a stochastic differential equation to model the evolution of a continuous attribute. We propose a measure for explained variance and give an interpretation of parameter sizes. The proposed method is illustrated by a study of the relationship between friendship, alcohol consumption, and self-esteem among adolescents

Categorical variable · Econometrics · Friendship · Interdependence · Machine learning · Network dynamics · Social network (sociolinguistics · Sociology · Stochastic differential equation · Variance (accounting · Applied Mathematics · Complex Network Analysis Techniques · Computer Science · Mathematics · Mental Health Research Topics · Opinion Dynamics and Social Influence · Psychology · Social Psychology

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Unique citing works9
Citations per year1,8
Citation span2021 - 2026 (6)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 9

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