ผลต่างระหว่างรุ่นของ "01204212/friends"

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In this task you will work with graphs from real social networks.
 
In this task you will work with graphs from real social networks.
  
* facebook.in -- This is a graph from facebook.  It is an undirected graph.  The graph is from [https://snap.stanford.edu/data/egonets-Facebook.html]
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* [http://theory.cpe.ku.ac.th/~jittat/courses/01204212/tasks/graph1/facebook.in facebook.in] -- This is a graph from facebook.  It is an undirected graph.  The graph is from [https://snap.stanford.edu/data/egonets-Facebook.html].  It has 4,039 vertices and 88,234 edges.
* twitter.in -- This is a graph from twitter.  It is a directed graph.  This graph is from [https://snap.stanford.edu/data/egonets-Twitter.html]
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* [http://theory.cpe.ku.ac.th/~jittat/courses/01204212/tasks/graph1/twitter.in twitter.in] -- This is a graph from twitter.  It is a directed graph.  This graph is from [https://snap.stanford.edu/data/egonets-Twitter.html]. It has 81,306 vertices and 1,768,149 edges.
  
 
'''The graph format:'''
 
'''The graph format:'''
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* Next ''m'' lines: each line contains two integers ''u'' and ''v'' (ranging from 0 to n-1).  In an undirected graph, this means that there is an edge between ''u'' and ''v''.  In a directed graph, this means that there is an edge from ''u'' to ''v''.
 
* Next ''m'' lines: each line contains two integers ''u'' and ''v'' (ranging from 0 to n-1).  In an undirected graph, this means that there is an edge between ''u'' and ''v''.  In a directed graph, this means that there is an edge from ''u'' to ''v''.
  
== Tasks ==
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== Tasks 1 ==
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For an undirected graph, find the vertices with the highest degree.  For a directed graph (twitter), find vertices with the highest in-degree and vertices with highest out-degree.
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== Tasks 2 ==
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Consider vertex 0 and vertex ''n''-1.  Find the length of the shortest path from vertex 0 to vertex ''n''-1.
  
 
== Code ==
 
== Code ==

รุ่นแก้ไขเมื่อ 15:41, 30 พฤศจิกายน 2559

This part of 01204212

In this task you will work with graphs from real social networks.

  • facebook.in -- This is a graph from facebook. It is an undirected graph. The graph is from [1]. It has 4,039 vertices and 88,234 edges.
  • twitter.in -- This is a graph from twitter. It is a directed graph. This graph is from [2]. It has 81,306 vertices and 1,768,149 edges.

The graph format:

  • First line: two integers n and m, where n is the number of vertices and m is the number of edges
  • Next m lines: each line contains two integers u and v (ranging from 0 to n-1). In an undirected graph, this means that there is an edge between u and v. In a directed graph, this means that there is an edge from u to v.

Tasks 1

For an undirected graph, find the vertices with the highest degree. For a directed graph (twitter), find vertices with the highest in-degree and vertices with highest out-degree.

Tasks 2

Consider vertex 0 and vertex n-1. Find the length of the shortest path from vertex 0 to vertex n-1.

Code

import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.util.ArrayList;
import java.util.List;

public class Main {

    public static void main(String[] args) {
        Main main = new Main();
        
        main.process();
    }
    
    int n,m;
    List<Integer> [] adjList;
    
    void process() {
        readInput();
    }

    private void readInput() {
        BufferedReader reader = new BufferedReader(
                   new InputStreamReader(System.in) );

        try {
            String[] items = reader.readLine().split(" ");

            n = Integer.parseInt(items[0]);
            m = Integer.parseInt(items[1]);

            adjList = (List<Integer>[])(new List[n]);
            for(int i=0; i<n; i++) {
                adjList[i] = new ArrayList<Integer>();
            }
            
            for(int i=0; i<m; i++) {
                items = reader.readLine().split(" ");
                int u = Integer.parseInt(items[0]);
                int v = Integer.parseInt(items[1]);
                
                adjList[u].add(v);
                adjList[v].add(u);
            }
        } catch(Exception e) {
        }
    }
}