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Identify Hub Papers in Research Groups

Source: R/sniff_groups_hubs.R
sniff_groups_hubs.Rd

This function analyzes citation networks to identify hub papers within research groups based on their citation patterns. It calculates several metrics (Zi, Pi) to classify papers into different hub categories.

Usage

sniff_groups_hubs(groups, min_citations = 1)

Arguments

groups

A list containing network data with the following components:

  • network: A tidygraph network object

  • pubs_by_year: Publication counts by year

  • aggregate: Aggregate network statistics

min_citations

Minimum number of citations for a paper to be considered (default: 1)

Value

A tibble containing:

  • group: Research group identifier

  • SR: Paper identifier

  • TC: Total citations

  • Ki: Total citations from all groups

  • ki: Citations from within the same group

  • Zi: Standardized within-group citation score

  • Pi: Citation diversity index

  • zone: Hub classification ("noHub", "R5", "R6", "R7")

Details

The function classifies papers into hub categories based on:

  • R5: Knowledge hubs (Zi ≥ 2.5 and Pi ≤ 0.3)

  • R6: Bridging hubs (Zi ≥ 2.5 and 0.3 < Pi ≤ 0.75)

  • R7: Boundary-spanning hubs (Zi ≥ 2.5 and Pi > 0.75)

Examples

if (FALSE) { # \dontrun{

# Assuming 'groups' is output from sniff_groups()

# Identify hub papers
hubs <- sniff_groups_hubs(groups, min_citations = 5)

# View results
head(hubs)
} # }