Python: Collect Twitter follower network with twecoll - Revision history

Onnowpurbo at 07:51, 28 January 2017

2017-01-28T07:51:05Z

Onnowpurbo: /* edgelist command */

2017-01-28T07:46:02Z

edgelist command

Onnowpurbo: /* fetch command */

2017-01-28T07:41:41Z

fetch command

Onnowpurbo: /* Prerequisites: Python and the command line */

2017-01-28T07:40:52Z

Prerequisites: Python and the command line

Onnowpurbo: /* 4. Run twecoll to collect data */

2017-01-28T07:38:45Z

4. Run twecoll to collect data

Onnowpurbo: /* 3. Configure the script */

2017-01-28T07:31:02Z

3. Configure the script

Onnowpurbo: /* 3. Configure the script */

2017-01-28T07:30:41Z

3. Configure the script

Onnowpurbo: /* 3. Configure the script */

2017-01-28T07:26:33Z

3. Configure the script

Onnowpurbo at 07:25, 28 January 2017

2017-01-28T07:25:05Z

Onnowpurbo: /* 2. Download twecoll */

2017-01-22T21:55:39Z

2. Download twecoll

@@ Line 4: / Line 4: @@
 Langkah yang perlu di lakukan,
-* Get Twitter API keys
+* Dapatkan key & password Twitter API
-* Download a customized version of the Python script twecoll
+* Download script twecoll
-* Configure the script
+* Konfigurasi script
-* Run the script to collect the network and create the graph file
+* Jalankan script untuk mengumpulkan network & membuat graph.
@@ Line 22: / Line 22: @@
 Kita perlu authentikasi dari twitter. Ini bisa dilakukan secara gratis & via web.
-* Go to apps.twitter.com
+Catatan: jangan di share.
 ==2. Download twecoll==
@@ Line 41: / Line 41: @@
-Opsi FMAX yang perlu di ubah.
+Dalam script ada beberapa parameter.
 FMAX mendefinisikan berapa banyak account yang mungkin kita kumpulkan datanya.

@@ Line 114: / Line 114: @@
 ===edgelist command===
-After we got all the necessary data, we need to combine it. We do that by using the edgelist command. Per default it creates a .gml file and tries to create a visualization with the Python package igraph. I don’t use igraph. If it isn’t installed, the script will skip this and print “Visualization skipped. No module named igraph”. This is fine. The .gml is still created.
+Setelah semua data berhasil di kumpulkan, maka kita akan menggabungkannya menggunakan perintah edgelist.
-I like to use the -m or --missing argument to include accounts where the script was unable to collect data on: python twecoll edgelist luca -m
+ python twecoll edgelist luca -g -m
-  python twecoll edgelist luca -g -m
+  -m --missing  untuk memasukan account yang tidak berhasil di collect datanya.
-The order of the arguments is irrelevant.
+Maka kita akan memiliki,
-You now have eiter a SCREENNAME.gml or SCREENNAME.gdf file in the directory of the script, which you can open with Gephi or another tool that supports these formats.
+ SCREENNAME.gml
-I recommend my guide how to visualize Twitter networks with Gephi, which starts where you are now:
+File ini bisa di buka menggunakan Gephi.
 ==Guide: Analyzing Twitter Networks with Gephi 0.9.1==

@@ Line 110: / Line 110: @@
   python twecoll fetch luca
-If it doesn’t exist, it creates a folder ‘fdat’ and for each account it collects the following IDs, it creates a file with the ID of the account followed by .f as the name. Inside it saves the IDs, one per line. Without additional information, because only those are relevant which exist in the .dat file.
+hasilnya akan di simpan pada folder fdat
 ===edgelist command===

← Older revision		Revision as of 07:40, 28 January 2017
Line 15:		Line 15:

	* python		* python
		+	* gephi
		+	* sudo pip install igraph

	==Getting Twitter API keys==		==Getting Twitter API keys==

@@ Line 75: / Line 75: @@
 ==4. Run twecoll to collect data==
-When the script runs for the first time, it will ask you for the consumer key and consumer secret. These are the two strings we got when we created the Twitter app. For future uses this isn’t necessary because twecoll saves the data in a file with the name .twecoll. If you want to start again, simply delete that file. If you use my modified version, it will be in the same directory, else it will be in the user directory.
+Saat  jalan pertama kali twecoll akan menanyakan consumer key & consumer secret. Data ini biasanya akan di simpan di .twecoll.
-We will use the script with the init, fetch and edgelist arguments.
+buat folder
 ===First run===
-We need to cd to the location where we put the twecoll file. In my case I only need to enter cd twecoll because that’s the folder where I put the script. To run the script we need to tell the computer that Python should be used, then we say that the script should be run and finally we add the arguments for the script. For example
+cd ke lokasi twecoll.
   python twecoll init luca
-Because this is the first run we will be prompted to enter the consumer key and secret of our twitter app. The script will then generate an URL we need to open with a web browser, where we authorize the script to access our account. Twitter then gives us a PIN which we give the script. I then starts with the data collection.
+secara default twecoll akan mengumpulkan nama-nama yang di follow oleh luca.
-Don’t use ctrl+c to copy in powershell. ctrl+c aborts the the running process in PowerShell. This is useful to stop the script at any time. But will make troubles when you want to copy the URL. You can either use the menu by clicking on the PowerShell symbol at the top left or you press enter to copy the highlighted text. If nothing is highlighted Enter will send the command you are writing at the moment. To paste text you can either use the menu or you simply click your right mouse button.
+Jika kita ingin sebalik-nya, mencek siapa saja yang memfollow luca, maka peritah init-nya adalah
   python twecoll init luca -o
-Or:
+atau:
   python twecoll init luca --followers
-The init command creates a file called SCREENNAME.dat with information about the accounts followed by or following the account you specified. It will also create a folder img, if doesn’t exist already, and put the avatars of the accounts it collects the data of there.
+ini perintah ini akan membuat file SCREENNAME.dat yang akan berisi account yang di follow / mem-follow account yang sedang kita evaluasi.
 ===fetch command===
-The fetch command goes through all the accounts collected by init and collects the IDs of the accounts followed by each of them. Again, we need to specify for which account we want to fetch the followings of their followings/followers.
+perintah fetch aman menyisir semua account yang di kumpulkan oleh init, juga mengumpulkan semua ID dari account yang di follow.
+Contoh,
   python twecoll fetch luca

@@ Line 42: / Line 42: @@
 FMAX mendefinisikan berapa banyak account yang mungkin kita kumpulkan datanya.
-Untuk percobaan awal ada baiknya
+Untuk percobaan awal ada baiknya set FMAX kecil saja, misalnya 20.
 ==Penggunaan twecoll==

@@ Line 1: / Line 1: @@
-How to collect any Twitter follower network with the Python script twecoll
+Untuk mengumpulkan twitter follower dapat menggunakan Python script twecoll.
-Learn how to create a graph file for visualization in Gephi
+Di samping itu juga menggunakan Gephi untuk memvisualisasikannya.
-This guide is written in a way that complete beginners can use it. You will be exposed to the command line and the programming language Python. You don’t need to know them as I will explain step by step what to do. I still recommend to learn about them, because it will make your life easier.
+Langkah yang perlu di lakukan,
 * Get Twitter API keys
@@ Line 13: / Line 9: @@
 * Run the script to collect the network and create the graph file
 ==Prerequisites: Python and the command line==
-On OSX and most Linux distributions Python comes pre-installed. On Windows you need to install it yourself. The script uses Python 2.7. Python Download.
+Untuk menjalankan twecoll, kita membutuhkan
-To see if you have Python installed and which version, you can use the command line. On OSX and Linux you can use the pre-installed Terminal, on Windows I recommend to use Windows PowerShell, which is pre-installed as well.
+* python
-Because we will need the command line in multiple situations in this guide, you should make yourself familiar with it. Don’t fear it, it works quite similar to a messenger bot. The command line tells you where it is and you can enter commands by typing them and sending them with enter.
+==Getting Twitter API keys==
-First we type python to see what version is defined as default. You now see the Python version. In my case it’s 2.7.12. The command line looks different as well. There is now >>> in front of the cursor. That’s because we are now inside a Python shell. We could write Python interactively here. But we are going to work with a script and therefore leave the Python shell with the command exit().
+Kita perlu authentikasi dari twitter. Ini bisa dilakukan secara gratis & via web.
 * Go to apps.twitter.com
@@ Line 41: / Line 25: @@
 * Fill out Name, Description, Website (any valid URL is fine) and check the Developer Agreement after you have read it.
 * Switch to the ‘Keys and Access Tokens’ Tab.
 Sidenote: Do not share these. People will abuse them. If you still do, like I did above, regenerate them to make the leaked version useless.
@@ Line 48: / Line 30: @@
 ==2. Download twecoll==
-For this tutorial I created a modified version of twecoll. I added an export to gdf option. This produces smaller files and Gephi will properly recognize every attribute. I also changed where twecoll saves the API keys. With the modified version they are in the same directory as the script instead of the user folder. Feel free to use the original twecoll. The GML it produces works with Gephi, but you may need to adjust types of values.
+Download twecoll,
-* Download my modified version https://gist.githubusercontent.com/lucahammer/8ce36416fd4c8f6ddf4783c63e4bfa66/raw/ffaae52c5ca01a9f85bc6943dc6597ece10bae4c/twecoll
+* modifikasi oleh luca https://gist.githubusercontent.com/lucahammer/8ce36416fd4c8f6ddf4783c63e4bfa66/raw/ffaae52c5ca01a9f85bc6943dc6597ece10bae4c/twecoll
-* Download the original twecoll https://github.com/jdevoo/twecoll
+* versi original https://github.com/jdevoo/twecoll
 ==3. Configure the script==
 The only option you may want to change is FMAX. This defines how many followings the account may have you collect the data of. Not the account you collect the network of but each of the nodes. For smaller accounts I recommend 5000 because the Twitter API can give you up to 5000 ids with one call. For bigger accounts you probably want to use something smaller to make the network more handleable. It’s a theoretical decision as well. What does it mean when someone follows that many people? Is this still a meaningful relation or is it just noise?
 ==4. Run twecoll to collect data==

@@ Line 51: / Line 51: @@
 * Download my modified version https://gist.githubusercontent.com/lucahammer/8ce36416fd4c8f6ddf4783c63e4bfa66/raw/ffaae52c5ca01a9f85bc6943dc6597ece10bae4c/twecoll
-* Download the original twecoll.
+* Download the original twecoll https://github.com/jdevoo/twecoll
 After downloading, unzip it and place the file twecoll in a folder you will be able to navigate through via the command line. I created a folder twecoll in my user directory and put it there: C:\Users\Luca\twecoll.