150 lines
		
	
	
		
			4.7 KiB
		
	
	
	
		
			JavaScript
		
	
	
	
	
	
			
		
		
	
	
			150 lines
		
	
	
		
			4.7 KiB
		
	
	
	
		
			JavaScript
		
	
	
	
	
	
| //"use strict";
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| // pagerank.js 0.0.1
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| 
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| //Use a random surfer algorithm to determine the relative 
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| //rank of nodes. The importance of each node is determined
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| //by the number of incoming links as well as the importance 
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| //of those incoming links. 
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| 
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| // Expose
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| // ----------
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| 
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| //Expose our library to be called externally
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| module.exports = function (nodeMatrix, linkProb, tolerance, callback, debug) {
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|     if (!nodeMatrix || !linkProb || !tolerance || !callback) {
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|         throw new Error("Provide 4 arguments: "+
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|             "nodeMatrix, link probability, tolerance, callback");
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|     }
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|     //If debug is unset set it to false
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|     if (!debug) { 
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|         debug=false;
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|     }
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|     return new Pagerank(nodeMatrix, linkProb, tolerance, callback, debug);
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| };
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| 
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| // Initialize
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| // ----------
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| function Pagerank(nodeMatrix, linkProb, tolerance, callback, debug) {
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|     //**OutgoingNodes:** represents an array of nodes. Each node in this 
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|     //array contains an array of nodes to which the corresponding node has
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|     //outgoing links.
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|     this.outgoingNodes = nodeMatrix;
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| 
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|     //console.log(this.outgoingNodes);
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|     //**LinkProb:** a value ??
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|     this.linkProb = linkProb;
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|     //**Tolerance:** the point at which a solution is deemed optimal. 
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|     //Higher values are more accurate, lower values are faster to computer. 
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|     this.tolerance = tolerance;
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|     this.callback = callback;
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| 
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|     //Number of outgoing nodes
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|     this.pageCount = Object.keys(this.outgoingNodes).length;
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|     //console.log(this.pageCount);
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|     //**Coeff:** coefficient for the likelihood that a page will be visited.
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|     this.coeff = (1-linkProb)/this.pageCount;
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|     
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|     this.probabilityNodes = !(nodeMatrix instanceof Array) ? {} : [];
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|     this.incomingNodes = !(nodeMatrix instanceof Array) ? {} : [];
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|     //console.log(this.incomingNodes);
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|     this.debug=debug;
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|     
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|     this.startRanking();
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| }
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| 
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| //Start ranking 
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| // ----------
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| Pagerank.prototype.startRanking = function () {
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| 
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|     //we initialize all of our probabilities
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|     var initialProbability = 1/this.pageCount, 
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|         outgoingNodes = this.outgoingNodes, i, a, index;
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|     
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|     //rearray the graph and generate initial probability
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|     for (i in outgoingNodes) {
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|         this.probabilityNodes[i]=initialProbability;
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|         for (a in outgoingNodes[i]) {
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|             index = outgoingNodes[i][a];
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|             if (!this.incomingNodes[index]) {
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|                 this.incomingNodes[index]=[]; 
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|             }
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|             this.incomingNodes[index].push(i);
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|                // console.log(this.incomingNodes);
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| 
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|         }
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|     }
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| 
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|     //if debug is set, print each iteration
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|     if (this.debug) this.reportDebug(1)
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|     
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|     this.iterate(1);
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| };
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| 
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| //Log iteration to console 
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| // ----------
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| Pagerank.prototype.reportDebug = function (count) {
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|     //console.log("____ITERATION "+count+"____");
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|     //console.log("Pages: " + Object.keys(this.outgoingNodes).length);
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|     //console.log("outgoing %j", this.outgoingNodes);
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|     //console.log("incoming %j",this.incomingNodes);
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|     //console.log("probability %j",this.probabilityNodes);
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| };
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| 
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| 
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| //Calculate new weights 
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| // ----------
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| Pagerank.prototype.iterate = function(count) {
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|     var result = [];
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|     var resultHash={};
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|     var prob, ct, b, a, sum, res, max, min;
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| 
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|     //For each node, we look at the incoming edges and 
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|     //the weight of the node connected via each edge. 
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|     //This weight is divided by the total number of 
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|     //outgoing edges from each weighted node and summed to 
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|     //determine the new weight of the original node.
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|     for (b in this.probabilityNodes) {
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| 
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|         sum = 0;
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|         if( this.incomingNodes[b] ) {
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|             for ( a=0; a<this.incomingNodes[b].length; a++) {
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|                 prob = this.probabilityNodes[ this.incomingNodes[b][a] ];
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|                 ct = this.outgoingNodes[ this.incomingNodes[b][a] ].length;
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|                 sum += (prob/ct) ;
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|             }
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|         }
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| 
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|         //determine if the new probability is within tolerance.
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|         res = this.coeff+this.linkProb*sum;
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|         max = this.probabilityNodes[b]+this.tolerance;
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|         min = this.probabilityNodes[b]-this.tolerance;   
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| 
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|         //if the result has changed push that result
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|         if (min <= res && res<= max) {
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|             resultHash[b]=res;
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|             result.push(res);
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|         }
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|     
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|         //update the probability for node *b*
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|         this.probabilityNodes[b]=res;
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|         //console.log(this.probabilityNodes[b]);
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|         //console.log(res);
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|     }
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| 
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|     //When we have all results (no weights are changing) we return via callback
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|     if (result.length == this.pageCount) {
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|         if( !(this.outgoingNodes instanceof Array)) {
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|             return this.callback(null, resultHash);
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|         }
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|         return this.callback(null, result);
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|     }
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|     
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|     //if debug is set, print each iteration
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|     if (this.debug) {
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|         this.reportDebug(count); 
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|     }
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|     
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|     ++count;
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|     return this.iterate(count);
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| };
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