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Social network analysis and growth recommendations for DataScience SG community

Date post: 06-Aug-2015
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Page 1: Social network analysis and growth recommendations for DataScience SG community
Page 2: Social network analysis and growth recommendations for DataScience SG community
Page 3: Social network analysis and growth recommendations for DataScience SG community

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Page 5: Social network analysis and growth recommendations for DataScience SG community

User-User friendship connection

Page 6: Social network analysis and growth recommendations for DataScience SG community

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

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Page 8: Social network analysis and growth recommendations for DataScience SG community

User-User friendship connection

Page 9: Social network analysis and growth recommendations for DataScience SG community

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

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Page 11: Social network analysis and growth recommendations for DataScience SG community

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

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

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

Page 18: Social network analysis and growth recommendations for DataScience SG community

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

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■ Use substrings to extract full web links

■ Use Python scripts to “unmask” the redirect link

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

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Page 27: Social network analysis and growth recommendations for DataScience SG community

■ 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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