Homophily and Contagion Are Generically Confounded in Observational Social Network Studies

May 19, 2011

Shalizi, C., & Thomas, A. (2011). <a href=”Shalizi, C., & Thomas, A. (2011). Homophily and Contagion Are Generically Confounded in Observational Social Network Studies Sociological Methods & Research, 40 (2), 211-239 DOI: 10.1177/0049124111404820“>Homophily and Contagion Are Generically Confounded in Observational Social Network Studies Sociological Methods & Research, 40 (2), 211-239 DOI: 10.1177/0049124111404820 

Featured article: Available to download free of charge until November 15, 2011. 

Abstract & References

Cosma Rohilla Shalizi Carnegie Mellon University, Pittsburgh, PA, USA, cshalizi@stat.cmu.edu 


Sensitivity Analysis for Contagion Effects in Social Networks

May 19, 2011

VanderWeele, T. (2011). Sensitivity Analysis for Contagion Effects in Social Networks Sociological Methods & Research, 40 (2), 240-255 DOI: 10.1177/0049124111404821 

Featured article: Available to download free of charge via Sage Publications until November 15, 2011.

Abstract & References

Tyler J. VanderWeele, Harvard University, Boston, MA, USA, tvanderw@hsph.harvard.edu


Direct and Indirect Effects for Neighborhood-Based Clustered and Longitudinal Data

June 17, 2010

ResearchBlogging.org

Tyler J. VanderWeele, Sociological Methods & Research 2010 38: 515-544.

 

Definitions of direct and indirect effects are given for settings in which individuals are clustered in groups or neighborhoods and in which treatments are administered at the group level. A particular intervention may Read the rest of this entry »


New Developments in Sequence Analysis

May 13, 2010

Christian Brzinsky-Fay and Ulrich Kohler: New Developments in Sequence Analysis, Sociological Methods Research 2010 38: 359-364.

Christian Brzinsky-Fay

Ulrich KohlerSequence analysis was originally invented by biologists with the aim of comparing DNA sequences in order to find out to what extent two DNA strands are homologous Read the rest of this entry »


Optimal Matching Analysis and Life-Course Data: The Importance of Duration

May 13, 2010

Brendan Halpin: Optimal Matching Analysis and Life-Course Data: The Importance of Duration, Sociological Methods Research 2010 38: 365-388.

Brendan HalpinThe optimal matching (OM) algorithm is widely used for sequence analysis insociology. It has a natural interpretation for discrete-time sequences but isalso widely used for life-history data, which are Read the rest of this entry »


Setting Cost in Optimal Matching to Uncover Contemporaneous Socio-Temporal Patterns

May 13, 2010

Laurent Lesnard: Setting Cost in Optimal Matching to Uncover Contemporaneous Socio-Temporal Patterns, Sociological Methods Research 2010 38: 389-419.

Laurent LesnardThis article addresses the question of the effects of cost setting on the kind of temporal patterns optimal matching (OM) can uncover when applied to social science data. Read the rest of this entry »


New Life for Old Ideas: The ‘‘Second Wave’’ of Sequence Analysis Bringing the ‘‘Course’’ Back Into the Life Course

May 13, 2010

Silke Aisenbrey and Anette E. Fasang: New Life for Old Ideas: The ‘‘Second Wave’’ of Sequence Analysis Bringing the ‘‘Course’’ Back Into the Life Course, Sociological Methods Research 2010 38: 420-462.

Silke AisenbreyAnette E. FasangIn this article the authors draw attention to the most recent and promising developments of sequence analysis. Read the rest of this entry »