Difference between revisions of "AY1516 T2 Team AP Analysis PostInterimPlan"
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*Manually categorize posts, like what we did for Twitter, and possibly prune them, to further refine insights | *Manually categorize posts, like what we did for Twitter, and possibly prune them, to further refine insights | ||
</td></tr> | </td></tr> | ||
+ | |||
+ | <tr><td width="10%" border="1" align="center">3</td> | ||
+ | <td width="30%" border="1" align="center">"Comment-Level" per post and number of shares on a "user-level"</td> | ||
+ | <td width="60%" align="center"> | ||
+ | *Analyse posts by its comments | ||
+ | *Are posts that are highly commented popular? | ||
+ | *Analyze users who actually "Share" sgag's posts, and their connection with other users | ||
+ | </td></tr> | ||
+ | |||
</table> | </table> |
Revision as of 23:56, 28 February 2016
Data Retrieval & Manipulation | Findings | Post interim plan |
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Facebook Graph API
Facebook Graph API
Apart from analysing one of SGAG's popular social network Twitter, we plan to leverage the Facebook Graph API. Drawing from our experience using the twitter API, we are looking to crawl Facebook data in a similar fashion, crawling, retrieving and aggregating post-level Facebook data. Hopefully, this process can yield conclusive results about the SGAG's social network (likes, shares, etc) on Facebook.
Approach
Approach
Step | Expected Result | Notes |
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1 | Collect all post data |
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2 | All user objects for each like, for every post |
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3 | "Comment-Level" per post and number of shares on a "user-level" |
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