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Relative importance of effects in stochastic actor-oriented models

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  • INDLEKOFER, NATALIE
  • BRANDES, ULRIK

Abstract

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.

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  • Indlekofer, Natalie & Brandes, Ulrik, 2013. "Relative importance of effects in stochastic actor-oriented models," Network Science, Cambridge University Press, vol. 1(3), pages 278-304, December.
    • Handle: RePEc:cup:netsci:v:1:y:2013:i:03:p:278-304_00
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    Cited by:

    1. Anuška Ferligoj & Luka Kronegger & Franc Mali & Tom A. B. Snijders & Patrick Doreian, 2015. "Scientific collaboration dynamics in a national scientific system," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 985-1012, September.
    2. Letina, Srebrenka, 2016. "Network and actor attribute effects on the performance of researchers in two fields of social science in a small peripheral community," Journal of Informetrics, Elsevier, vol. 10(2), pages 571-595.
    3. Simpson, Cohen R., 2022. "Social support and network formation in a small-scale horticulturalist population," LSE Research Online Documents on Economics 116694, London School of Economics and Political Science, LSE Library.

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