Generate labels for network communities

Creates descriptive labels for network communities by analyzing the most frequent words (using TF-IDF weighting) in user profile descriptions within each community.

Usage

com_labels(profiles, top = 3)

Arguments

profiles

Data frame or tibble with profile information, must contain:

community

Integer. Community assignment for each user

description

Character. User profile descriptions/bios to analyze

top

Integer. Number of top words to include in each label (default 3)

Value

A tibble with community labels:

community

Integer. Community ID

community_label

Character. Descriptive label with top keywords

See also

add_metrics, word_freqs

Other network-analysis: add_metrics()

Examples

if (FALSE) { # \dontrun{
# Authenticate first
auth <- get_token("your.handle.bsky.social", "your-app-password")

# Build a network to get community-assigned profiles
network_result <- build_network(
  key_actors = c("scientist.bsky.social", "researcher.bsky.social"),
  keywords = c("science", "research", "academic"),
  token = auth$accessJwt,
  refresh_tok = auth$refreshJwt,
  threshold = 10
)

# Add network metrics to get community assignments
profiles_with_communities <- add_metrics(network_result$profiles, network_result$net)

# Generate descriptive labels for each community
community_labels <- com_labels(profiles_with_communities, top = 3)
print(community_labels)

# View the most common words for each community
head(community_labels)
} # }