AY1516 T2 Team AP Analysis PostInterimTwitterFindings

From Analytics Practicum
Jump to navigation Jump to search

Team ap home white.png HOME

Team ap overview white.png OVERVIEW

Team ap analysis white.png ANALYSIS

Team ap project management white.png PROJECT MANAGEMENT

Team ap documentation white.png DOCUMENTATION


Data Retrieval & Manipulation (Pre Interim) Pre interim findings Post interim twitter findings Post interim plan Post interim findings

High Level Twitter Data

Retweet and Favorite count by Category: Top 5 Categories

TotalpostRatio1.png

Retweet Behaviour

Twitterhighlvl2.png

Impressions Behaviour

Twitterhighlvl3.png

Replies Behaviour

Twitterhighlvl4.png

Twitter Social Network – Post to User Engagement

After conducting descriptive analysis on the high-level data extracted from SGAG’s Twitter account, we decided to create Gephi visualisations of SGAG’s Twitter social network. Using posts and followers as nodes, and each follower’s engagement (Retweet) as edges, this was the output generated.

Initial Gephi Output: Sample of 52 Twitter posts with more than 500 Retweets, Due to Twitter API limitations, we could only obtain 60 followers maximum per post.

Nodes: 5339 (52 post nodes, 5287 users)

Edges: 7290

Twitternetwork1.png

Based on the Gephi layout algorithms that emphasize complementaries, our team looked into 3 layouts to allow our visualisation to better resemble a social network: Force Atlas 2, YiFan Hu, Circular Layout. This serves to bring linked nodes together and push non-linked nodes apart to obtain a readable representation.

Force Atlas 2:

Twitternetwork2.png Legend1.png

Frushterman-Reingold:

Twitternetwork3.png Legend2.png

YiFan Hu Layout:

Twitternetwork4.png Legend3.png

Retrieved from ‘https://wiki.smu.edu.sg/ANLY482/index.php?title=AY1516_T2_Team_AP_Analysis_PostInterimTwitterFindings&oldid=7826’