{ "_id": "6ad3ffdd712795fb4dcafb2e", "Package": "Dynet", "Title": "Tidy Temporal Network Analysis", "Version": "0.7.3", "Authors@R": "person(\"Mohammed\", \"Saqr\", role = c(\"aut\", \"cre\", \"cph\"),\nemail = \"saqr@saqr.me\")", "Description": "Building, analysis and visualisation of temporal networks.\nSupports several formats of relational data: interval data with\nexplicit start and end times, contact data of instantaneous\nevents, threaded interactions such as forum or chat data, and\nco-presence logs. Every analysis returns a tidy data frame\ncarrying proper vertex labels. Metrics cover time-varying\ncentrality, graph-level structure, edge formation and\ndissolution, burstiness, time-respecting paths, reachability\nand mixing. Offers a wide variety of network visualisations and\nanimations, as well as plots of temporal network metrics across\ntime.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "Language": "en-GB", "VignetteBuilder": "knitr", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "Config/testthat/edition": "3", "URL": "https://pak.dynasite.org/Dynet/, https://github.com/mohsaqr/Dynet", "BugReports": "https://github.com/mohsaqr/Dynet/issues", "LazyData": "true", "Config/Needs/website": "av, gifski, igraph, network, networkDynamic, sna,\ntsna", "Repository": "https://mohsaqr.r-universe.dev", "Date/Publication": "2026-10-08 14:58:15 UTC", "RemoteUrl": "https://github.com/mohsaqr/Dynet", "RemoteRef": "HEAD", "RemoteSha": "3581e5c0149ceca690db6fae44ab46f04901552c", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-17 22:45:54 UTC", "User": "root" }, "Author": "Mohammed Saqr [aut, cre, cph]", "Maintainer": "Mohammed Saqr ", "_user": "mohsaqr", "_type": "src", "_file": "Dynet_0.7.3.tar.gz", "_fileid": "https://r2.ropensci.org/75fd4f71dfd83b6a01569445522d2029a10080e325b91b156086fd9be5e9df03", "_filesize": 5752053, "_sha256": "75fd4f71dfd83b6a01569445522d2029a10080e325b91b156086fd9be5e9df03", "_expires": "2027-01-25T23:08:10.000Z", "_created": "2026-10-17T22:45:54.000Z", "_published": "2026-10-17T23:08:13.102Z", "_buildurl": "https://github.com/r-universe/mohsaqr/actions/runs/39076106321", "_status": "success", "_host": "GitHub-Actions", "_jobs": [ { "job": 117524387916, "time": 886, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "12117467505" }, { "job": 117524387961, "time": 799, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "12116994932" }, { "job": 117524387889, "time": 583, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "12117676320" }, { "job": 117524387934, "time": 933, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "12117104327" }, { 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reaches every other\n member of its group), for logs of who acted when with no recipient.\n- event_graph(events = \"messages\") merges the ties of one action or email\n into one event that reaches several targets.\n- Adjacencies say what their two events were (first, second, and\n first_/second_ tie attributes); events and summary() carry tie attributes\n and, under sessions = \"separate\", the session.\n- plot() of an event graph gains type = \"events\": events as points, one row\n per actor (or per relay chain), colours stable across periods; message\n graphs are drawn this way by default.\n", "time": 1791471495 }, "_maintainer": { "name": "Mohammed Saqr", "email": "saqr@saqr.me", "login": "loxavian", "description": "", "uuid": 52792889 }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.1", "role": "Depends" }, { "package": "cograph", "role": "Imports" }, { "package": "ggplot2", "role": "Imports" }, { "package": "grDevices", "role": 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"page": "as_dynet", "title": "Convert an object to a Dynet temporal network", "topics": [ "as_dynet", "as_dynet.dynet" ] }, { "page": "as_dynet.networkDynamic", "title": "Import a networkDynamic object", "topics": [ "as_dynet.networkDynamic" ] }, { "page": "as.data.frame.dynet", "title": "Tidy tables from a temporal network", "topics": [ "as.data.frame.dynet" ] }, { "page": "as.data.frame.dynet_animation", "title": "Coerce an animation to a data frame", "topics": [ "as.data.frame.dynet_animation" ] }, { "page": "as.data.frame.dynet_collapsed", "title": "Tidy tables from a collapsed temporal network", "topics": [ "as.data.frame.dynet_collapsed" ] }, { "page": "as.data.frame.dynet_collapsed_list", "title": "Tidy data frame of session-specific collapsed networks", "topics": [ "as.data.frame.dynet_collapsed_list" ] }, { "page": "as.data.frame.dynet_communities", "title": "Tidy data frame of a temporal community partition", "topics": [ "as.data.frame.dynet_communities" ] }, { "page": "as.data.frame.dynet_event_graph", "title": "Tidy tables from an event graph", "topics": [ "as.data.frame.dynet_event_graph" ] }, { "page": "as.data.frame.dynet_metric", "title": "Tidy data frame of a temporal measure", "topics": [ "as.data.frame.dynet_metric" ] }, { "page": "as.data.frame.dynet_modularity", "title": "Tidy data frame of a multislice modularity result", "topics": [ "as.data.frame.dynet_modularity" ] }, { "page": "as.data.frame.dynet_motifs", "title": "Tidy frame of a temporal motif census", "topics": [ "as.data.frame.dynet_motifs" ] }, { "page": "as.data.frame.dynet_null", "title": "Coerce surrogate networks to a data frame", "topics": [ "as.data.frame.dynet_null" ] }, { "page": "as.data.frame.dynet_path_network", "title": "Tidy tables from a temporal path-union network", "topics": [ "as.data.frame.dynet_path_network" ] }, { "page": "as.data.frame.dynet_path_trajectories", "title": "Tidy table of a temporal trajectory tree", "topics": [ "as.data.frame.dynet_path_trajectories" ] }, { "page": "as.data.frame.dynet_paths", "title": "Tidy data frame of time-respecting paths", "topics": [ "as.data.frame.dynet_paths" ] }, { "page": "as.data.frame.dynet_pathways", "title": "Tidy data frame of ranked pathways", "topics": [ "as.data.frame.dynet_pathways" ] }, { "page": "as.data.frame.dynet_phases", "title": "Tidy data frame of detected temporal phases", "topics": [ "as.data.frame.dynet_phases" ] }, { "page": "as.data.frame.dynet_projection", "title": "Tidy tables from a time-projected network", "topics": [ "as.data.frame.dynet_projection" ] }, { "page": "as.data.frame.dynet_pshifts", "title": "Tidy data frame of participation shift counts", "topics": [ "as.data.frame.dynet_pshifts" ] }, { "page": "as.data.frame.dynet_significance", "title": "Coerce a permutation test to a data frame", "topics": [ "as.data.frame.dynet_significance" ] }, { "page": "as.data.frame.dynet_similarity", "title": "Tidy table of time-bin similarity", "topics": [ "as.data.frame.dynet_similarity" ] }, { "page": "as.data.frame.dynet_snapshot", "title": "Tidy table of snapshot edges", "topics": [ "as.data.frame.dynet_snapshot" ] }, { "page": "as.data.frame.dynet_trajectory", "title": "Tidy data frame of community trajectories", "topics": [ "as.data.frame.dynet_trajectory" ] }, { "page": "burstiness", "title": "Burstiness and memory of each vertex's activity", "topics": [ "burstiness" ] }, { "page": "centrality_series", "title": "Time-varying vertex centrality", "topics": [ "centrality_series" ] }, { "page": "clear_observations", "title": "Restore implicit observation support", "topics": [ "clear_observations" ] }, { "page": "collapse_network", "title": "Collapse temporal activity to a static weighted network", "topics": [ "collapse_network" ] }, { "page": "community_change", "title": "How much the community structure moved between bins", "topics": [ "community_change" ] }, { "page": "community_trajectory", "title": "What each vertex did across the community structure", "topics": [ "community_trajectory" ] }, { "page": "durations", "title": "How long each relationship lasted", "topics": [ "durations" ] }, { "page": "dynet", "title": "Build a temporal network", "topics": [ "dynet" ] }, { "page": "edge_centrality", "title": "Temporal centrality of the contacts themselves", "topics": [ "edge_centrality" ] }, { "page": "event_graph", "title": "The event graph of a temporal network", "topics": [ "event_graph" ] }, { "page": "events", "title": "Edge formation and dissolution over time", "topics": [ "events" ] }, { "page": "forum_people", "title": "People in the discussion forum", "topics": [ "forum_people" ] }, { "page": "forum_posts", "title": "Discussion forum posts", "topics": [ "forum_posts" ] }, { "page": "gaps", "title": "Inter-event gaps", "topics": [ "gaps" ] }, { "page": "head.dynet_metric", "title": "First rows of a temporal measure", "topics": [ "head.dynet_metric" ] }, { "page": "induce_subgraph", "title": "Extract an induced temporal subgraph", "topics": [ "induce_subgraph" ] }, { "page": "match_communities", "title": "Give community labels a meaning that carries across time", "topics": [ "match_communities" ] }, { "page": "metrics", "title": "Time-varying graph-level structure", "topics": [ "metrics" ] }, { "page": "mixing", "title": "Mixing between vertex groups over time", "topics": [ "mixing" ] }, { "page": "mooc_people", "title": "Participants in a MOOC discussion forum", "topics": [ "mooc_people" ] }, { "page": "mooc_posts", "title": "Posts in a MOOC discussion forum", "topics": [ "mooc_posts" ] }, { "page": "motifs", "title": "Delta-temporal three-node motif census", "topics": [ "motifs" ] }, { "page": "multislice_modularity", "title": "Multislice modularity of a partition of a temporal network", "topics": [ "multislice_modularity" ] }, { "page": "path_centrality", "title": "Centrality on time-respecting paths and temporal walks", "topics": [ "path_centrality" ] }, { "page": "path_network", "title": "Build the union network of optimal temporal paths", "topics": [ "path_network" ] }, { "page": "path_trajectories", "title": "Optimal temporal routes as a counted trajectory tree", "topics": [ "path_trajectories" ] }, { "page": "paths", "title": "Time-respecting paths from a vertex", "topics": [ "paths" ] }, { "page": "pathways", "title": "Most frequent time-respecting routes", "topics": [ "pathways" ] }, { "page": "persistence", "title": "Neighbourhood persistence between consecutive time bins", "topics": [ "persistence" ] }, { "page": "phases", "title": "Detect temporal phases by clustering the between-bin similarity", "topics": [ "phases" ] }, { "page": "plot_path_trajectories", "title": "Draw optimal temporal paths as a trajectory tree", "topics": [ "plot_path_trajectories" ] }, { "page": "plot.dynet", "title": "Draw a temporal network", "topics": [ "plot.dynet" ] }, { "page": "plot.dynet_collapsed", "title": "Draw a collapsed temporal network", "topics": [ "plot.dynet_collapsed" ] }, { "page": "plot.dynet_communities", "title": "Draw community membership as ribbons over time", "topics": [ "plot.dynet_communities" ] }, { "page": "plot.dynet_event_graph", "title": "Plot an event graph", "topics": [ "plot.dynet_event_graph" ] }, { "page": "plot.dynet_metric", "title": "Plot a temporal measure", "topics": [ "plot.dynet_metric" ] }, { "page": "plot.dynet_motifs", "title": "Plot a temporal motif census", "topics": [ "plot.dynet_motifs" ] }, { "page": "plot.dynet_null", "title": "Plot the surrogate activity profile against the observed one", "topics": [ "plot.dynet_null" ] }, { "page": "plot.dynet_path_network", "title": "Draw a path network", "topics": [ "plot.dynet_path_network" ] }, { "page": "plot.dynet_path_trajectories", "title": "Plot path trajectories", "topics": [ "plot.dynet_path_trajectories" ] }, { "page": "plot.dynet_paths", "title": "Plot time-respecting paths when a valid renderer exists", "topics": [ "plot.dynet_paths" ] }, { "page": "plot.dynet_pathways", "title": "Plot pathways on a time axis", "topics": [ "plot.dynet_pathways" ] }, { "page": "plot.dynet_phases", "title": "Draw detected phases over the between-bin similarity heatmap", "topics": [ "plot.dynet_phases" ] }, { "page": "plot.dynet_pshifts", "title": "Plot participation shift counts", "topics": [ "plot.dynet_pshifts" ] }, { "page": "plot.dynet_significance", "title": "Plot a permutation test", "topics": [ "plot.dynet_significance" ] }, { "page": "plot.dynet_similarity", "title": "Draw time-bin similarity as a heatmap", "topics": [ "plot.dynet_similarity" ] }, { "page": "plot.dynet_snapshot", "title": "Plot how many ties each snapshot holds", "topics": [ "plot.dynet_snapshot" ] }, { "page": "print.dynet", "title": "Print a temporal network", "topics": [ "print.dynet" ] }, { "page": "print.dynet_animation", "title": "Print an animation's bin table", "topics": [ "print.dynet_animation" ] }, { "page": "print.dynet_collapsed", "title": "Print a collapsed temporal network", "topics": [ "print.dynet_collapsed" ] }, { "page": "print.dynet_collapsed_list", "title": "Print session-specific collapsed networks", "topics": [ "print.dynet_collapsed_list" ] }, { "page": "print.dynet_communities", "title": "Print a temporal community partition", "topics": [ "print.dynet_communities" ] }, { "page": "print.dynet_event_graph", "title": "Print an event graph", "topics": [ "print.dynet_event_graph" ] }, { "page": "print.dynet_metric", "title": "Print a temporal measure", "topics": [ "print.dynet_metric" ] }, { "page": "print.dynet_motifs", "title": "Print a temporal motif census", "topics": [ "print.dynet_motifs" ] }, { "page": "print.dynet_null", "title": "Print surrogate networks", "topics": [ "print.dynet_null" ] }, { "page": "print.dynet_path_trajectories", "title": "Print a temporal trajectory tree", "topics": [ "print.dynet_path_trajectories" ] }, { "page": "print.dynet_paths", "title": "Print time-respecting paths", "topics": [ "print.dynet_paths" ] }, { "page": "print.dynet_pathways", "title": "Print ranked pathways", "topics": [ "print.dynet_pathways" ] }, { "page": "print.dynet_phases", "title": "Print detected temporal phases", "topics": [ "print.dynet_phases" ] }, { "page": "print.dynet_projection", "title": "Print a time-projected network", "topics": [ "print.dynet_projection" ] }, { "page": "print.dynet_pshifts", "title": "Print participation shift counts", "topics": [ "print.dynet_pshifts" ] }, { "page": "print.dynet_significance", "title": "Print a permutation test", "topics": [ "print.dynet_significance" ] }, { "page": "print.dynet_similarity", "title": "Print time-bin similarity", "topics": [ "print.dynet_similarity" ] }, { "page": "print.dynet_snapshot", "title": "Print snapshot edges", "topics": [ "print.dynet_snapshot" ] }, { "page": "projection", "title": "Project a temporal network into directed vertex-time states", "topics": [ "projection" ] }, { "page": "pshifts", "title": "Gibson participation shifts from raw temporal turns", "topics": [ "pshifts" ] }, { "page": "random_dynet", "title": "Simulate a random temporal network", "topics": [ "random_dynet" ] }, { "page": "randomise", "title": "Surrogate temporal networks from a null model", "topics": [ "randomise" ] }, { "page": "reachability", "title": "Reachability of every vertex", "topics": [ "reachability" ] }, { "page": "remove_arcs", "title": "Remove directed temporal arcs", "topics": [ "remove_arcs" ] }, { "page": "remove_nodes", "title": "Remove nodes from a temporal network", "topics": [ "remove_nodes" ] }, { "page": "remove_ties", "title": "Remove temporal ties", "topics": [ "remove_ties" ] }, { "page": "remove_vertex_spells", "title": "Remove declared vertex-activity components", "topics": [ "remove_vertex_spells" ] }, { "page": "rename_nodes", "title": "Rename nodes everywhere in a temporal network", "topics": [ "rename_nodes" ] }, { "page": "rename_sessions", "title": "Rename session walls", "topics": [ "rename_sessions" ] }, { "page": "school_contacts", "title": "Student contacts recorded as intervals", "topics": [ "school_contacts" ] }, { "page": "segregation", "title": "Segregation-integration difference over time", "topics": [ "segregation" ] }, { "page": "seminar_attendance", "title": "Seminar attendance", "topics": [ "seminar_attendance" ] }, { "page": "set_observations", "title": "Replace observation support", "topics": [ "set_observations" ] }, { "page": "set_tie_sessions", "title": "Assign or remove tie sessions", "topics": [ "set_tie_sessions" ] }, { "page": "set_vertex_spells", "title": "Replace declared vertex activity", "topics": [ "set_vertex_spells" ] }, { "page": "significance", "title": "Compare a measure against a temporal null model", "topics": [ "significance" ] }, { "page": "similarity", "title": "Similarity between the networks at each pair of time points", "topics": [ "similarity" ] }, { "page": "snapshots", "title": "The network sliced into snapshots", "topics": [ "snapshots" ] }, { "page": "summary.dynet", "title": "Describe a temporal network", "topics": [ "summary.dynet" ] }, { "page": "summary.dynet_animation", "title": "Summarise an animation", "topics": [ "summary.dynet_animation" ] }, { "page": "summary.dynet_collapsed_list", "title": "Summarise session-specific collapsed networks", "topics": [ "summary.dynet_collapsed_list" ] }, { "page": "summary.dynet_communities", "title": "Summarize a temporal community partition", "topics": [ "summary.dynet_communities" ] }, { "page": "summary.dynet_event_graph", "title": "Summarise an event graph", "topics": [ "summary.dynet_event_graph" ] }, { "page": "summary.dynet_metric", "title": "Summarise a temporal measure", "topics": [ "summary.dynet_metric" ] }, { "page": "summary.dynet_motifs", "title": "Summarise a temporal motif census by family", "topics": [ "summary.dynet_motifs" ] }, { "page": "summary.dynet_null", "title": "Summarise surrogate networks", "topics": [ "summary.dynet_null" 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