View source: R/transition_audit.R
| new_transition_audit | R Documentation |
Internal constructor used by [pagerank()] to assemble the audit record from counts gathered along the aggregation / validation / cleaning path. Every argument has a default so that partially-known states (e.g. an empty edge list) still produce a well-formed object with the documented fields present.
new_transition_audit(
n_input_rows = 0L,
n_edges = 0L,
n_vertices = 0L,
weighted = FALSE,
weight_col = NULL,
n_edges_weighted = 0L,
duplicate_edge_policy = "collapse",
instance_count_col = NULL,
n_duplicate_instances = 0L,
duplicate_edges = NULL,
n_rows_na = 0L,
n_rows_duplicate = 0L,
n_self_loops = 0L,
n_prior_unmatched = NA_integer_,
n_robots_blocked = 0L,
n_status_dead = 0L,
pagerank_total = NA_real_,
mass_reported = NA_real_,
mass_evaporated = NA_real_,
mass_leaked = NA_real_,
mass_hidden = NA_real_,
out_of_scope_fold = "relabel",
n_out_of_scope_folds = 0L,
out_of_scope_folds_applied = TRUE,
out_of_scope_fold_list = NULL,
fold_collisions = NULL,
config = list()
)
n_input_rows |
Integer, rows in the raw 'edge_list_df'. |
n_edges |
Integer, directed edges that survived folding, dedup and self-loop handling (the edges actually scored). |
n_vertices |
Integer, vertices in the returned result. |
weighted |
Logical, whether an edge 'weight_col' was in effect. |
weight_col |
Character or 'NULL', the weight column name. |
n_edges_weighted |
Integer, edges carrying a finite positive weight. |
duplicate_edge_policy |
Character, the duplicate-edge policy used by [pagerank()]. |
instance_count_col |
Character or 'NULL', internal count column used by 'duplicate_edge_policy = "count_instances"'. |
n_duplicate_instances |
Integer, duplicate link instances folded into transition weights. |
duplicate_edges |
Data frame or 'NULL', compact counted-edge audit rows. |
n_rows_na |
Integer, input rows dropped due to 'NA' endpoints. |
n_rows_duplicate |
Integer, rows collapsed by deduplication. |
n_self_loops |
Integer, self-loop edges dropped. |
n_prior_unmatched |
Integer or 'NA', prior URLs that did not fold onto a vertex. |
n_robots_blocked |
Integer, URLs treated as robots.txt-blocked. |
n_status_dead |
Integer, in-graph URLs whose HTTP status code marked them response-dead (4xx/5xx). |
pagerank_total |
Numeric, sum of the returned PageRank scores. |
mass_reported |
Numeric, stationary mass on returned/visible pages (typically equal to 'pagerank_total'). |
mass_evaporated |
Numeric, stationary mass routed to the shared waste sink (authority the waste class and every real nofollowed link passed on but could not deliver). '0' when nothing reached the sink. |
mass_leaked |
Numeric, stationary mass sent to the leak sink under 'out_of_scope_fold = "leak"' (authority that flowed into out-of-scope-folded sources, treated like an external redirect). '0' when no leak occurred. |
|
Numeric, the own stationary mass of vanished robots-blocked nodes removed from the results (their pass-through is counted in 'mass_evaporated', not here). '0' when none. | |
out_of_scope_fold |
Character, the 'out_of_scope_fold' policy used ('"relabel"', '"keep"' or '"leak"'). |
n_out_of_scope_folds |
Integer, count of composed fold-map entries whose target was not a crawled node. |
out_of_scope_folds_applied |
Logical, 'TRUE' when the out-of-scope folds were acted upon (relabeled under '"relabel"', or routed to the leak sink under '"leak"'), 'FALSE' when they were skipped (kept) under '"keep"'. |
out_of_scope_fold_list |
Data frame or 'NULL', the out-of-scope folds as 'source' / 'target' / 'signal' rows. |
fold_collisions |
Data frame or 'NULL', fold-target collisions detected on the pre-fold edge list: rows of 'target' / 'n_independent_refs' / 'source' for uncrawled URLs that a fold relabeled a crawled source onto while they were also independently linked. 'NULL' when no 'indexability_df' crawl-URL set was available to detect them. |
config |
A named list of the relevant [pagerank()] configuration. |
An object of class '"transition_audit"' (see [transition_audit]).
# Low-level plumbing: normally you obtain a transition_audit via
# attr(pagerank(...), "transition_audit") rather than by hand. Every
# argument defaults, so a bare call yields a well-formed, empty-graph object.
audit <- new_transition_audit()
audit$counts
# Populate a few fields to describe a small scored graph.
audit <- new_transition_audit(
n_input_rows = 4L,
n_edges = 3L,
n_vertices = 3L,
n_rows_duplicate = 1L,
pagerank_total = 1,
mass_reported = 1
)
audit$counts$n_edges
audit$dropped$n_rows_collapsed
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