gretel {gretel}

sconduct: Generalized Path Analysis for Social Networks

Description

This package contains two categories of functions. The first category is concerned with assigning values to user specified paths, while the second identifies paths of optimal value.

Details

Key functions in the path value calculation category 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).

Key functions in the optimal path identification category are - 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.