Package: multinet 4.2.1
multinet: Analysis and mining of multilayer social networks
Functions for the creation/generation and analysis of multilayer social networks <doi:10.18637/jss.v098.i08>.
Authors:
multinet_4.2.1.tar.gz
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multinet_4.2.1.tgz(r-4.4-x86_64)multinet_4.2.tgz(r-4.4-arm64)multinet_4.2.1.tgz(r-4.3-x86_64)multinet_4.2.tgz(r-4.3-arm64)
multinet_4.2.1.tar.gz(r-4.5-noble)multinet_4.2.1.tar.gz(r-4.4-noble)
multinet_4.2.1.tgz(r-4.4-emscripten)multinet_4.2.1.tgz(r-4.3-emscripten)
multinet.pdf |multinet.html✨
multinet/json (API)
NEWS
| # Install 'multinet' in R: |
| install.packages('multinet', repos = c('https://magnanim.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 21 days agofrom:230ae0ab68. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 03 2024 |
| R-4.5-win-x86_64 | OK | Nov 03 2024 |
| R-4.5-linux-x86_64 | OK | Nov 03 2024 |
| R-4.4-win-x86_64 | OK | Nov 03 2024 |
| R-4.4-mac-x86_64 | OK | Nov 03 2024 |
| R-4.4-mac-aarch64 | OK | Aug 28 2024 |
| R-4.3-win-x86_64 | OK | Nov 03 2024 |
| R-4.3-mac-x86_64 | OK | Nov 03 2024 |
| R-4.3-mac-aarch64 | OK | Aug 28 2024 |
Exports:abacus_mlactors_mladd_attributes_mladd_edges_mladd_igraph_layer_mladd_layers_mladd_vertices_mlattributes_mlclique_percolation_mlconnective_redundancy_mldegree_deviation_mldegree_mldelete_actors_mldelete_edges_mldelete_layers_mldelete_vertices_mldistance_mledges_idx_mledges_mlevolution_er_mlevolution_pa_mlflat_ec_mlflat_nw_mlflatten_mlgenerate_communities_mlget_community_list_mlget_values_mlglouvain_mlgrow_mlinfomap_mlis_directed_mllayer_comparison_mllayer_summary_mllayers_mllayout_circular_mllayout_multiforce_mlmdlp_mlml_aucsml_bankwiringml_emptyml_florentineml_monasteryml_tailorshopml_toymodularity_mlneighborhood_mlneighbors_mlnmi_mlnum_actors_mlnum_edges_mlnum_layers_mlnum_vertices_mlomega_index_mlproject_mlread_mlrelevance_mlset_directed_mlset_values_mlvalues2graphicsvertices_mlwrite_mlxneighborhood_mlxneighbors_mlxrelevance_ml
Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMatrixpkgconfigRColorBrewerRcpprlangvctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Multilayer social network analysis and mining | multinet-package multinet |
| Network analysis measures | connective_redundancy_ml degree_deviation_ml degree_ml multinet.actor_measures neighborhood_ml relevance_ml xneighborhood_ml xrelevance_ml |
| Managing attributes | add_attributes_ml attributes_ml get_values_ml multinet.attributes set_values_ml |
| Classes defined by the package | multinet.classes Rcpp_REvolutionModel-class REvolutionModel RMLNetwork-class |
| Community detection algorithms and evaluation functions | abacus_ml clique_percolation_ml flat_ec_ml flat_nw_ml get_community_list_ml glouvain_ml infomap_ml mdlp_ml modularity_ml multinet.communities nmi_ml omega_index_ml |
| Generation of multilayer networks with a predefined community structure | generate_communities_ml multinet.community.generation |
| Conversion to a simple or multi graph | as.igraph.multinet as.igraph.Rcpp_RMLNetwork multinet.conversion |
| Network analysis measures: distance based | distance_ml multinet.distance |
| Controlling edge directionality | is_directed_ml multinet.edge_directionality set_directed_ml |
| Generation of multilayer networks | evolution_er_ml evolution_pa_ml grow_ml multinet.generation |
| Reading and writing multilayer networks from/to file | multinet.IO read_ml write_ml |
| Network analysis measures | layer_comparison_ml layer_summary_ml multinet.layer_comparison |
| Layouts | layout_circular_ml layout_multiforce_ml multinet.layout |
| Functions to extract neighbors of vertices, to navigate the network | multinet.navigation neighbors_ml xneighbors_ml |
| Drawing a multilayer network | multinet.plotting plot plot.ml plot.multinet plot.Rcpp_RMLNetwork values2graphics |
| Loading predefined multilayer networks | ml_aucs ml_bankwiring ml_empty ml_florentine ml_monastery ml_tailorshop ml_toy multinet.predefined |
| Listing network properties | actors_ml edges_idx_ml edges_ml layers_ml multinet.properties nodes_ml num_actors_ml num_edges_ml num_layers_ml num_nodes_ml num_vertices_ml vertices_ml |
| Functions to transform existing layers into new ones. | flatten_ml multinet.transformation project_ml |
| Manipulation of multilayer networks | add_edges_ml add_igraph_layer_ml add_layers_ml add_nodes_ml add_vertices_ml delete_actors_ml delete_edges_ml delete_layers_ml delete_nodes_ml delete_vertices_ml multinet.update |
| Summarise a multilayer network | summary.Rcpp_RMLNetwork |
