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Natalie Indlekofer

Biographic Data

ID184453
NAMENatalie Indlekofer
GIVEN NAMESNatalie
FAMILY NAMEIndlekofer
SIGNATUREINDLEKOFER N
AFFILIATIONSUniversity of Konstanz
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS27
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2012
LATEST PUBLICATION YEAR2013
H-INDEX1
  • Relative importance of effects in stochastic actor-oriented models

    Open Access•Natalie Indlekofer, Ulrik Brandes•ARTICLE•Network Science•2013•Cited by: 27•References: 11

    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 rela…

  • Visualization methods for longitudinal social networks and stochastic actor-oriented modeling

    Open Access•Ulrik Brandes, Natalie Indlekofer et al.•ARTICLE•Social Networks•2012

  • Relative importance of effects in stochastic actor-oriented models

    Open Access•Natalie Indlekofer, Ulrik Brandes•ARTICLE•Network Science•2013•Cited by: 27•References: 11

    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 rela…

  • Visualization methods for longitudinal social networks and stochastic actor-oriented modeling

    Open Access•Ulrik Brandes, Natalie Indlekofer et al.•ARTICLE•Social Networks•2012

  • Relative importance of effects in stochastic actor-oriented models

    Open Access•Natalie Indlekofer, Ulrik Brandes•ARTICLE•Network Science•2013•Cited by: 27•References: 11

    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 rela…

Artificial Intelligence (2 works) · Complex Network Analysis Techniques (2 works) · Computer Science (2 works) · Data mining (2 works) · Mathematics (2 works) · Mental Health Research Topics (2 works) · Statistics (2 works) · Data science (1 works) · Data Visualization and Analytics (1 works) · Econometrics (1 works)

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