udpate readme.md

README.md

+
 # Table of Contents
 
-1.  [CSEDU-2019](#org11e87c6)
-    1.  [Images](#org7aaa272)
-    2.  [Code](#orge31e9d0)
-        1.  [Hangout chats:](#org123942e)
+1.  [CSEDU-2019](#orgcd70f76)
+    1.  [Images](#org112c7ef)
+    2.  [Code](#org991a0f1)
+        1.  [Hangout chats:](#org5fad6a2)
+        2.  [Moodle visualization:](#org4a17423)
+        3.  [Coursera](#orga0eae20)
 
 
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 # CSEDU-2019
 
 Resources and annexes to the paper **"[Towards Visual Explorations of Forums' Collective Dynamics in Learning Management Systems](tex_draft.pdf)"**
 
 
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 ## Images
 
@@ -71,7 +74,7 @@ The images in the paper are sometime small.  We offer high enough resolution ima
        At the top (a) is half of compound yearly actor-actor network.  The three bottom images (b), (c) and (d) are closeup around actor 642 during the quarters of the year. 
 
 
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 ## Code
 
@@ -80,19 +83,25 @@ It is mainly code to preprocess the data files that will then be processed in d3
 The exemples of visualisations are accessible online at this adresses (<span class="timestamp-wrapper"><span class="timestamp">&lt;2019-05-22 mer.&gt;</span></span>):
 
 
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 ### Hangout chats:
 
 Visualizations on <https://observablehq.com/@maliky/conversation-visualization-v2>
 
-1.  Moodle visualization:
 
-    Visualizations on <https://observablehq.com/@maliky/playing-with-moodle-data>
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+### Moodle visualization:
+
+Visualizations on <https://observablehq.com/@maliky/playing-with-moodle-data>
+
+
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-2.  Coursera
+### Coursera
 
-    Use the file <Code/SNA-Coursera17/> folder to scrape the data from a Coursera course and then wrangle the data to make the visualisation.
-    The visualisation requires graph<sub>tool.py</sub>
-    Check the <Code/SNA-Coursera17/README.md> 
+Use the file <Code/SNA-Coursera17/> folder to scrape the data from a Coursera course and then wrangle the data to make the visualisation.
+The visualisation requires graph<sub>tool.py</sub>
+Check the <Code/SNA-Coursera17/README.md> 
 

README.org

@@ -50,9 +50,9 @@ The exemples of visualisations are accessible online at this adresses (<2019-05-
 
 *** Hangout chats:
 Visualizations on https://observablehq.com/@maliky/conversation-visualization-v2
-**** Moodle visualization: 
+*** Moodle visualization: 
 Visualizations on https://observablehq.com/@maliky/playing-with-moodle-data
-**** Coursera
+*** Coursera
 Use the file [[file:Code/SNA-Coursera17/]] folder to scrape the data from a Coursera course and then wrangle the data to make the visualisation.
 The visualisation requires graph_tool.py
 Check the [[file:Code/SNA-Coursera17/README.org]]