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/* TweetTracker. Copyright (c) Arizona Board of Regents on behalf of Arizona State University
* @author shamanth
*/
package Chapter5.network;
import java.io.BufferedReader;
import java.io.File;
import java.io.FileInputStream;
import java.io.IOException;
import java.io.InputStreamReader;
import java.util.HashMap;
import java.util.Set;
import java.util.logging.Level;
import java.util.logging.Logger;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
import org.json.JSONArray;
import org.json.JSONException;
import org.json.JSONObject;
public class ExtractUserTagNetwork
{
static final String DEF_INFILENAME = "ows.json";
/**
* Extracts a map of all the hashtags a user has used in his tweets resulting in a bipartite network. The frequency of each tag is also returned in the form of a map.
* @param inFilename File containing a list of tweets as JSON objects
* @return A map containing the users as keys and a map containing the hashtags they use along with their frequency.
*/
public HashMap<String,HashMap<String,Integer>> ExtractUserHashtagNetwork(String inFilename)
{
HashMap<String,HashMap<String,Integer>> usertagmap = new HashMap<String,HashMap<String,Integer>>();
BufferedReader br = null;
try{
br = new BufferedReader(new InputStreamReader(new FileInputStream(inFilename),"UTF-8"));
String temp = "";
while((temp = br.readLine())!=null)
{
try{
JSONObject tweetobj = new JSONObject(temp);
String text;
String username;
HashMap<String,Integer> tags = new HashMap<String,Integer>();
if(!tweetobj.isNull("entities"))
{
JSONObject entities = tweetobj.getJSONObject("entities");
JSONArray hashtags;
try {
hashtags = entities.getJSONArray("hashtags");
for(int i=0;i<hashtags.length();i++)
{
JSONObject tag = hashtags.getJSONObject(i);
String tg = tag.getString("text").toLowerCase();
if(!tags.containsKey(tg))
{
tags.put(tg,1);
}
else
{
tags.put(tg, tags.get(tg)+1);
}
}
}catch(JSONException ex)
{
ex.printStackTrace();
}
}
else
if(!tweetobj.isNull("text"))
{
text = tweetobj.getString("text");
tags = ExtractHashTags(text);
}
if(!tweetobj.isNull("user"))
{
JSONObject userobj = tweetobj.getJSONObject("user");
username = "@"+userobj.getString("screen_name").toLowerCase();
if(usertagmap.containsKey(username))
{
HashMap<String,Integer> usertags = usertagmap.get(username);
Set<String> keys = tags.keySet();
for(String k:keys)
{
if(usertags.containsKey(k))
{
usertags.put(k, usertags.get(k)+tags.get(k));
}
else
{
usertags.put(k, tags.get(k));
}
}
usertagmap.put(username, usertags);
}
else
{
usertagmap.put(username, tags);
}
}
}catch(JSONException ex)
{
ex.printStackTrace();
}
}
}catch(IOException ex)
{
ex.printStackTrace();
}finally{
try {
br.close();
} catch (IOException ex) {
Logger.getLogger(ExtractUserTagNetwork.class.getName()).log(Level.SEVERE, null, ex);
}
}
return usertagmap;
}
/**
* Extracts all the hashtags mentioned in a tweet and creates a map with the frequency of their occurrence.
* @param text
* @return A map containing the hashtags as keys and their frequency as value
*/
public HashMap<String,Integer> ExtractHashTags(String text)
{
Pattern p = Pattern.compile("#[a-zA-Z0-9]+");
Matcher m = p.matcher(text);
HashMap<String,Integer> tags = new HashMap<String,Integer>();
while(m.find())
{
String tag = text.substring(m.start(),m.end()).toLowerCase();
if(!tags.containsKey(tag))
{
tags.put(tag,1);
}
else
{
tags.put(tag, tags.get(tag)+1);
}
}
return tags;
}
public static void main(String[] args)
{
ExtractUserTagNetwork eutn = new ExtractUserTagNetwork();
String infilename = DEF_INFILENAME;
if(args!=null)
{
if(args.length>=1&&!args[0].isEmpty())
{
File fl = new File(args[0]);
if(fl.exists())
{
infilename = args[0];
}
}
}
HashMap<String, HashMap<String,Integer>> usertagmap = eutn.ExtractUserHashtagNetwork(infilename);
Set<String> keys = usertagmap.keySet();
for(String key:keys)
{
System.out.println(key);
HashMap<String,Integer> tags = usertagmap.get(key);
Set<String> tagkeys = tags.keySet();
for(String tag:tagkeys)
{
System.out.println(tag+","+tags.get(tag));
}
}
}
}
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