Package: gretel 0.0.1.9000
gretel: Generalized Path Analysis for Social Networks
The social network literature features numerous methods for assigning value to paths as a function of their ties. 'gretel' systemizes these approaches, casting them as instances of a generalized path value function indexed by a penalty parameter. The package also calculates probabilistic path value and identifies optimal paths in either value framework. Finally, proximity matrices can be generated in these frameworks that capture high-order connections overlooked in primitive adjacency sociomatrices. Novel methods are described in Buch (2019) <https://davidbuch.github.io/analyzing-networks-with-gretel.html>. More traditional methods are also implemented, as described in Yang, Knoke (2001) <doi:10.1016/S0378-8733(01)00043-0>.
Authors:
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gretel.pdf |gretel.html✨
gretel/json (API)
NEWS
| # Install 'gretel' in R: |
| install.packages('gretel', repos = c('https://davidbuch.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/davidbuch/gretel/issues
- BuchDarrah19 - Example data for gretel
- OpsahlEtAl10 - Example data from Opsahl, Agneessens, Skvoretz
- YangKnoke01 - Example data from Yang, Knoke
Last updated 5 years agofrom:dabcf941ff. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 07 2024 |
| R-4.5-win-x86_64 | OK | Sep 07 2024 |
| R-4.5-linux-x86_64 | OK | Sep 07 2024 |
| R-4.4-win-x86_64 | OK | Sep 07 2024 |
| R-4.4-mac-x86_64 | OK | Sep 07 2024 |
| R-4.4-mac-aarch64 | OK | Sep 07 2024 |
| R-4.3-win-x86_64 | OK | Sep 07 2024 |
| R-4.3-mac-x86_64 | OK | Sep 07 2024 |
| R-4.3-mac-aarch64 | OK | Sep 07 2024 |
Exports:all_opt_gpvall_opt_ppvbinary_distanceflament_average_path_lengthflament_path_lengthgenerate_proximitiesgpvopt_gpvopt_ppvpeay_average_path_valuepeay_path_valueppvunpack
Dependencies:RcppResistorArray
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Optimize All Generalized Path Values | all_opt_gpv |
| Optimize All Probabilistic Path Values | all_opt_ppv |
| Binary Distance of a Network Path | binary_distance |
| Example data for gretel | BuchDarrah19 |
| Find the shortest L-Inf norm paths to other vertices | dijkstra_inf |
| Find the shortest paths to other vertices | dijkstra_nodes |
| Yang and Knoke's Average Path Length | flament_average_path_length |
| Flament's Path Length Measure | flament_path_length |
| Generate a Proximity Matrix | generate_proximities |
| Generalized Path Value | gpv |
| gretel: Generalized Path Analysis for Social Networks | gretel-package gretel |
| Example data from Opsahl, Agneessens, Skvoretz (2010) | OpsahlEtAl10 |
| Optimize Generalized Path Value | opt_gpv |
| Optimize Probabilistic Path Value | opt_ppv |
| Yang and Knoke's Average Path Value | peay_average_path_value |
| Peay's Path Value Measure | peay_path_value |
| Calculate probabilistic path value | ppv |
| Unpacks a Path from a Dijkstra-Format Spanning Tree | unpack |
| Example data from Yang, Knoke (2001) | YangKnoke01 |
