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Relative importance of effects in stochastic actor-oriented models*

Published online by Cambridge University Press:  07 January 2014

NATALIE INDLEKOFER  and
ULRIK BRANDES
NATALIE INDLEKOFER
Affiliation:
Department of Computer & Information Science, University of Konstanz, Konstanz, Germany (e-mail: natalie.indlekofer@uni-konstanz.de, ulrik.brandes@uni-konstanz.de)
ULRIK BRANDES
Affiliation:
Department of Computer & Information Science, University of Konstanz, Konstanz, Germany (e-mail: natalie.indlekofer@uni-konstanz.de, ulrik.brandes@uni-konstanz.de)
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Abstract

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A measure of relative importance of network effects in the stochastic actor-oriented model (SAOM) is proposed. The SAOM is a parametric model for statistical inference in longitudinal social networks. The complexity of the model makes the interpretation of inferred results difficult. So far, the focus is on significance tests while the relative importance of effects is usually ignored. Indeed, there is no established measure to determine the relative importance of an effect in a SAOM. We introduce such a measure based on the influence effects have on decisions of individual actors in the network. We demonstrate its utility on empirical data by analyzing an evolving friendship network of university freshmen.

Keywords

longitudinal networkssocial networksstatistical modelsinterpretation of stochastic actor-oriented models

Information

Type
Research Article
Information
Network Science , Volume 1 , Issue 3 , December 2013 , pp. 278 - 304
Copyright
Copyright © Cambridge University Press 2014 

Footnotes

*

The electronic version of this article contains color figures.

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