1 unstable release
0.4.0 | Mar 5, 2024 |
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#7 in #scores
245KB
1.5K
SLoC
MeritRank
MeritRank is a Rust library for computing merit scores and rankings in a directed graph.
Features
- Efficient computation of merit scores for nodes in a graph.
- Ranking nodes based on their merit scores.
- Flexible configuration options for customizing the ranking process.
- Support for weighted graphs and personalized rankings.
Installation
To use meritrank
in your Rust project, add the following line to your Cargo.toml
file:
[dependencies]
meritrank = "0.4.0.1.3"
Usage
To use meritrank
, you need to create a graph and compute the merit scores for its nodes. Here's a basic example:
use meritrank::{MyGraph, MeritRank};
fn main() {
// Create a graph
let mut graph = MyGraph::new();
graph.add_edge("A", "B");
graph.add_edge("B", "C");
graph.add_edge("C", "D");
graph.add_edge("D", "E");
graph.add_edge("E", "F");
// Compute merit scores
let merit_rank = MeritRank::new(&graph);
let scores = merit_rank.compute_scores();
// Get the ranked nodes
let ranked_nodes = merit_rank.get_ranked_nodes();
// Print the scores and ranks
for (node, score) in scores.iter() {
println!("Node: {}, Score: {}", node, score);
}
for (rank, node) in ranked_nodes.iter().enumerate() {
println!("Rank: {}, Node: {}", rank + 1, node);
}
}
This example creates a simple graph and computes the merit scores for its nodes using the MeritRank
struct. It then retrieves the ranked nodes based on their scores.
Documentation
For detailed usage instructions and API reference, please refer to the documentation [expected].
Contributing
Contributions are welcome! If you have any bug reports, feature requests, or suggestions, please open an issue on the GitHub repository. Pull requests are also encouraged.
License
meritrank
is licensed under the MIT License. See the LICENSE file for more information.
Maintainer
meritrank
is actively maintained by Vladimir Radkevich. Feel free to reach out if you have any questions or need assistance.
Enjoy using meritrank
for ranking nodes in your graphs!
Dependencies
~5MB
~71K SLoC