Skip to contents

Calculate and Visualize Group Attributes from Scientific Networks

Source: R/sniff_groups_attributes.R
sniff_groups_attributes.Rd

This function analyzes publication growth rates and other attributes for research groups identified in scientific networks. It calculates growth rates using exponential models, creates horizon plots for visualization, and generates summary tables.

Usage

sniff_groups_attributes(
  groups,
  growth_rate_period = 2010:2022,
  horizon_plot = TRUE,
  show_results = TRUE,
  assign_result = NULL
)

Arguments

groups

A list containing network data with publications by year and group information. Must include elements: network, pubs_by_year, and aggregate.

growth_rate_period

Numeric vector of years to use for growth rate calculation (default: 2010:2024).

horizon_plot

Logical indicating whether to include horizon plots in the output table (default: TRUE).

show_results

Logical indicating whether to print results to console (default: TRUE).

assign_result

Character string specifying a variable name to assign the results to in the global environment (default: NULL).

Value

A list with two components:

  • attributes_table: A gt table showing group attributes including growth rates

  • regression: A list of model summaries for each group's growth rate calculation

Details

The function performs the following steps:

  1. Calculates growth rates using exponential models for each group

  2. Processes publication age and doubling time metrics

  3. Optionally creates horizon plots for each group's publication trend

  4. Generates a comprehensive summary table

Examples

if (FALSE) { # \dontrun{
# Assuming groups is output from sniff_groups()
groups_attributes <- sniff_groups_attributes(groups,
  growth_rate_period = 2010:2022,
  horizon_plot = TRUE
)

# View the results table
print(groups_attributes$attributes_table)

# Access model summaries
groups_attributes$regression
} # }