This document discusses different social networks and connections between users on a platform. It describes user friendship networks colored based on inactivity levels. It also describes user like networks, with edges representing likes between friends and non-friends. Finally, it discusses user comment networks derived from the like network connections.

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5. User-User friendship connection

6. Smaller nodes represent long inactive periods
Colored from blue (inactive for more than 3 months)
to red (active in last one month)

8. User-User friendship connection

9. with locked positions from friendship network
Yellow edges- liking posts from non-friends
Red edges - liking posts from friends

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11. User-User like network
Colored via Markov Clustering
Nodes sized by number of likes given

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13. User-user like network
Examples of one-off likes who
did not like any other posts.

17. User-user comment connection,
using frozen positions from like
network previously.
Colored by Markov Clustering
from the like network

18. User-user comment network.
Colored by Markov Clustering
from the like network

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24. ■ Use substrings to
extract full web
links
■ Use Python scripts
to “unmask” the
redirect link

25. ■ Copy the code above to macro
■ The new function called “Title” will be generated
■ Drag down as usual

27. ■ Remove punctuation
■ Remove Numbers
■ Remove stopwords such as “analyst,data,singapore” and the
website name such as ”straits time”
■ Perform LDA get top 4 topics and top 7 most frequency words
in the topic

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