Community breadth (distinct authors) of each flow trajectory

Measures the FUSE community pillar (Carley et al., 2018) for every sniff_trajectory_braid() trajectory: how many distinct authors stand behind its documents, and how broad that authorship is per document. A raw author count tracks trajectory size; authors_per_doc is the size-independent breadth — a high value marks a lineage carried by many distinct contributors (a wide community), a low value a lineage concentrated in a tight group.

Usage

sniff_trajectory_community(flow, authors)

Arguments

flow

A sniff_trajectory_braid() object.

authors

A long data frame with columns document_id and author, one row per document-author pair (e.g. the corpus AU field split on ; and joined to the membership key). Documents absent from authors contribute no authors but still count in n_docs, so keep author coverage high.

Value

A tibble, one row per trajectory: traj_id, type, group, n_docs (distinct documents of the trajectory), n_authors (distinct authors across them), authors_per_doc (n_authors / n_docs, the breadth; NA for an empty trajectory).

Details

This is the document-cluster analogue of the term-level community measure in the emergence-indicator literature, where a term counts as emergent only when used by more than one independent author. It complements sniff_trajectory_dynamics(), which names the community pillar but scores it only through document counts (recruitment, size).

See also

sniff_trajectory_dynamics(), sniff_trajectory_hubs(), sniff_trajectory_braid()

Other trajectory analysis: sniff_trajectory_cct(), sniff_trajectory_confluence(), sniff_trajectory_contribution(), sniff_trajectory_destination(), sniff_trajectory_dynamics(), sniff_trajectory_emergence_owners(), sniff_trajectory_entropy(), sniff_trajectory_formation(), sniff_trajectory_hubs(), sniff_trajectory_self_sufficiency()