Social network analysis and growth recommendations for DataScience SG community

Preview:

Citation preview

••

••••

••

••

•••

•••

User-User friendship connection

User-User friendship connectionSmaller nodes represent long inactive periodsColored from blue (inactive for more than 3 months)to red (active in last one month)

User-User friendship connection

User-User like connection, with locked positions from friendship networkYellow edges- liking posts from non-friendsRed edges - liking posts from friends

User-User like networkColored via Markov ClusteringNodes sized by number of likes given

••

••

••

User-user like networkExamples of one-off likes who did not like any other posts.

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

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

-

-

-

-

-

■ Use substrings to extract full web links

■ Use Python scripts to “unmask” the redirect link

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

■ 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

••

•••

••

•••

••

••

••

Recommended