- Go backend (server/)
- Frontend (web/, server/static/)
- Database and deployment files
- Scripts and docs
Co-Authored-By: 狸花猫/Claude-Qwen3.6-Plus 🐾
64 lines
2.2 KiB
JavaScript
64 lines
2.2 KiB
JavaScript
import degree from './degree';
|
||
import { getNeighbors } from "./util";
|
||
/**
|
||
* PageRank https://en.wikipedia.org/wiki/PageRank
|
||
* refer: https://github.com/anvaka/ngraph.pagerank
|
||
* @param graph
|
||
* @param epsilon 判断是否收敛的精度值,默认 0.000001
|
||
* @param linkProb 阻尼系数(dumping factor),指任意时刻,用户访问到某节点后继续访问该节点链接的下一个节点的概率,经验值 0.85
|
||
*/
|
||
var pageRank = function pageRank(graphData, epsilon, linkProb) {
|
||
if (typeof epsilon !== 'number') epsilon = 0.000001;
|
||
if (typeof linkProb !== 'number') linkProb = 0.85;
|
||
var distance = 1;
|
||
var leakedRank = 0;
|
||
var maxIterations = 1000;
|
||
var _a = graphData.nodes,
|
||
nodes = _a === void 0 ? [] : _a,
|
||
_b = graphData.edges,
|
||
edges = _b === void 0 ? [] : _b;
|
||
var nodesCount = nodes.length;
|
||
var currentRank;
|
||
var curRanks = {};
|
||
var prevRanks = {};
|
||
// Initialize pageranks 初始化
|
||
for (var j = 0; j < nodesCount; ++j) {
|
||
var node = nodes[j];
|
||
var nodeId = node.id;
|
||
curRanks[nodeId] = 1 / nodesCount;
|
||
prevRanks[nodeId] = 1 / nodesCount;
|
||
}
|
||
var nodeDegree = degree(graphData);
|
||
while (maxIterations > 0 && distance > epsilon) {
|
||
leakedRank = 0;
|
||
for (var j = 0; j < nodesCount; ++j) {
|
||
var node = nodes[j];
|
||
var nodeId = node.id;
|
||
currentRank = 0;
|
||
if (nodeDegree[node.id].inDegree === 0) {
|
||
curRanks[nodeId] = 0;
|
||
} else {
|
||
var neighbors = getNeighbors(nodeId, edges, 'source');
|
||
for (var i = 0; i < neighbors.length; ++i) {
|
||
var neighbor = neighbors[i];
|
||
var outDegree = nodeDegree[neighbor].outDegree;
|
||
if (outDegree > 0) currentRank += prevRanks[neighbor] / outDegree;
|
||
}
|
||
curRanks[nodeId] = linkProb * currentRank;
|
||
leakedRank += curRanks[nodeId];
|
||
}
|
||
}
|
||
leakedRank = (1 - leakedRank) / nodesCount;
|
||
distance = 0;
|
||
for (var j = 0; j < nodesCount; ++j) {
|
||
var node = nodes[j];
|
||
var nodeId = node.id;
|
||
currentRank = curRanks[nodeId] + leakedRank;
|
||
distance += Math.abs(currentRank - prevRanks[nodeId]);
|
||
prevRanks[nodeId] = currentRank;
|
||
}
|
||
maxIterations -= 1;
|
||
}
|
||
return prevRanks;
|
||
};
|
||
export default pageRank; |