tidygraph

Allows use of mutate, filter, and arrange verbs on node and edge data, making network manipulation feel like standard tidyverse data wrangling, as shown in the example with centrality calculations.

Wraps almost all igraph algorithms like centrality_degree and community detection, providing consistent outputs that match node/edge sequences without extra boilerplate.

Includes verbs like morph() for temporary graph representation changes and bind_edges() for expanding structure, enabling complex network analyses within a tidy workflow.

Converts various data structures such as phylo, dendrogram, and data.tree to graphs via as_tbl_graph(), facilitating integration from diverse sources.