1,720,963 research outputs found
Complete Orientation Rules for Patterns
Christopher Meek. Complete Orientation Rules for Patterns
Related Graphical Frameworks: Undircted, Directed Acyclic and Chain Graph Models
Christopher Meek. Related Graphical Frameworks: Undircted, Directed Acyclic and Chain Graph Models
Casual Inference in the Presence of Latent Variables and Selection Bias
Peter Spirtes, Christopher Meek, Thomas Richardson. Casual Inference in the Presence of Latent Variables and Selection Bias
Strong-Completeness and Faithfulness in Belief Networks
Chris Meek. Strong-Completeness and Faithfulness in Belief Networks
Regression and Causation
Clark Glymour, Richard Scheines, Peter Spirtes, and Christopher Meek. Regression and Causation
Using D-Separation to Calculate Zero Partial Correlations in Linear Models with Correlated Errors
Peter Spirtes, Thomas Richardson, Christopher Meek, Richard Scheines, and Clark Glymour. Using D-Separation to Calculate Zero Partial Correlations in Linear Models with Correlated Errors
Prediction and Experimental Design with Graphical Causal Models
Peter Spirtes, Clark Glymour, Richard Scheines, Christopher Meek, S. Fineberg, E. Slate. Prediction and Experimental Design with Graphical Causal Models
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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