NEWS.md

In gretel: Generalized Path Analysis for Social Networks

gretel 0.0.1

gretel is a package for generalized path analysis. It implements new measures that are described in a forthcoming research publication, as well as some traditional path value measures described in Yang, Knoke (2001).

The exported functions in this package are

• gpv, which calculates Generalized Path Value
• ppv, which calculates Probabilistic Path Value
• binary_distance, peay_path_value, flament_path_length, peay_average_path_value, and flament_average_path_length, which calculate path value measures described in Yang, Knoke (2001).
• generate_proximities, which generates a matrix of values representing the measures of optimal paths from each source node (row index) to each target node (column index).
• opt_gpv, which identifies the path of optimal Generalized Path Value from a particular source node to a particular target node
• opt_ppv, which identifies the path of optimal Probabilistic Path Value from a particular source node to a particular target node
• all_opt_gpv, which identifies the 'gpv'-optimal paths from every source node to every target node
• all_opt_ppv, which identifies the 'ppv'-optimal paths from every source node to every target node
• unpack, which unpacks the Dijkstra-format encoded shortest paths returned by all_opt_gpv and all_opt_ppv. See their help pages for details.

The package also includes three example datasets

• YangKnoke01
• OpsahlEtAl10
• BuchDarrah19

gretel documentation built on Aug. 22, 2019, 5:10 p.m.