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package Chapter4.centrality.examples;
import Chapter4.util.TweetFileToGraph;
import java.io.File;
import GraphElements.RetweetEdge;
import GraphElements.UserNode;
import edu.uci.ics.jung.algorithms.scoring.PageRank;
import edu.uci.ics.jung.graph.DirectedGraph;
public class PageRankCentralityExample {
public static void main(String[] args){
File tweetFile;
if(args.length > 0){
tweetFile = new File(args[0]);
}
else{
tweetFile = new File("synthetic_retweet_network.json");
}
DirectedGraph<UserNode, RetweetEdge> retweetGraph = TweetFileToGraph.getRetweetNetwork(tweetFile);
PageRank<UserNode, RetweetEdge> pageRank = new PageRank<UserNode, RetweetEdge>(retweetGraph, .5);
pageRank.evaluate();
for(UserNode node : retweetGraph.getVertices()){
System.out.println(node + " - " + pageRank.getVertexScore(node));
}
// EigenvectorCentrality<UserNode, RetweetEdge> eig = new EigenvectorCentrality<UserNode, RetweetEdge>(retweetGraph);
// eig.evaluate();
//
// for(UserNode node : retweetGraph.getVertices()){
// System.out.println(node + " - " + eig.getVertexScore(node));
// }
}
}
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