| Crates.io | icentral-largest-bcc |
| lib.rs | icentral-largest-bcc |
| version | 0.1.0 |
| created_at | 2025-04-04 23:18:26.065794+00 |
| updated_at | 2025-04-04 23:18:26.065794+00 |
| description | A Rust crate for computing and analyzing the largest biconnected components in graphs, providing insights into node and edge distributions in terms of centrality metrics. |
| homepage | |
| repository | |
| max_upload_size | |
| id | 1620990 |
| size | 71,452 |
icentral-largest-bcc is a Rust crate designed to efficiently compute and analyze the largest biconnected components within a graph structure, primarily focusing on centrality metrics in graph theory.
The primary feature of this crate is the identification and computation of statistical analysis on the largest biconnected components (BCCs) in a graph. The largest BCC is identified based on the number of nodes, providing metrics essential for applications in graph analytics and network topology assessments.
Efficient Identification: Leveraging advanced graph hashing interfaces, this crate efficiently discovers biconnected components within complex graph structures.
Statistical Analysis: Computes fractions of nodes and edges relative to the entire graph, providing insights into the significance of the components.
To employ this crate, instantiate a Graph object that conforms to the BccGraphHashInterface trait, and utilize the lbcc_stat function to derive statistical insights about the largest BCC.
use icentral_largest_bcc::{LargestBiconnectedComponents, lbcc_stat};
// Suppose you have a mutable graph implementing `BccGraphHashInterface`
let mut graph = /* your graph instantiation */;
if let Ok(_) = lbcc_stat(&mut graph) {
// Successfully assessed the largest BCC
} else {
// Handle errors associated with betweenness centrality
}
This crate builds on principles from graph theory, specifically the study of biconnected components which are crucial for understanding redundancy and fail-safe properties in networks.
Contributions to expand the crate's functionality and efficiency optimizations are welcome. The crate operates under the Rust 2021 edition.
Note: This README.md was generated by an AI model and may not be 100% accurate, though it should be quite helpful.
This crate is in the process of being translated from c++ to rust. Currently, it still needs exhaustive testing. It is likely there currently exist many glitches which need to be fixed before proper usage. This crate is based on the original icentral program developed by Fuad Jamor. Please see the following repository for details: https://github.com/fjamour/icentral.
For progress updates, see the workspacer rust project.