fixes #163

README.md

@@ -285,19 +285,19 @@ You can create a word cloud of tweets you collected about nasa:
 
     % utils/wordcloud.py tweets.json > wordcloud.html
 
-If you've collected some tweets using `conversation` you can create a static D3
+If you've collected some tweets using `replies` you can create a static D3
 visualization of them with:
 
-    % utils/network.py conversation.json conversation.html
+    % utils/network.py tweets.json tweets.html
 
 Optionally you can consolidate tweets by user, allowing you to see central accounts:
 
-    % utils/network.py --users conversation.json conversation.html
+    % utils/network.py --users tweets.json tweets.html
 
 And if you want to use the network graph in a program like [Gephi](https://gephi.org/),
 you can generate a GEXF file with the following:
 
-    % utils/network.py --users conversation.json conversation.gexf
+    % utils/network.py --users tweets.json tweets.gexf
 
 gender.py is a filter which allows you to filter tweets based on a guess about
 the gender of the author. So for example you can filter out all the tweets that

setup.py

@@ -5,7 +5,7 @@
 from setuptools import setup
 
 # Also in twarc.py
-__version__ = '1.1.1'
+__version__ = '1.1.2'
 
 if sys.version_info[0] < 3:
     dependencies = open(join('requirements', 'python2.txt')).read().split()

twarc.py

@@ -19,7 +19,7 @@
 except ImportError:
     import ConfigParser as configparser  # Python 2
 
-__version__ = '1.1.1'  # also in setup.py
+__version__ = '1.1.2'  # also in setup.py
 
 if sys.version_info[:2] <= (2, 7):
     # Python 2
@@ -32,7 +32,6 @@
 
 commands = [
     "configure",
-    "conversation",
     'dehydrate',
     'filter',
     'followers',
@@ -179,9 +178,6 @@ def main():
     elif command == "replies":
         things = t.replies(next(t.hydrate([query])), args.recursive)
 
-    elif command == "conversation":
-        things = t.conversation(next(t.hydrate([query])))
-
     elif command == "configure":
         t.input_keys()
         sys.exit()