Difference between revisions of "AY1516 T2 Team AP Analysis PostInterimPlan"
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<table rules="all" width="80%" cellpadding="6" cellspacing="3" style="margin: 1em auto 1em auto; font-weight: normal; border-style: solid"> | <table rules="all" width="80%" cellpadding="6" cellspacing="3" style="margin: 1em auto 1em auto; font-weight: normal; border-style: solid"> | ||
+ | |||
<tr style="background-color:#E1F4FF;"><th>Step</th><th>Expected Result</th><th>Notes</th></tr> | <tr style="background-color:#E1F4FF;"><th>Step</th><th>Expected Result</th><th>Notes</th></tr> | ||
+ | |||
<tr><td width="10%" border="1" align="center">1</td> | <tr><td width="10%" border="1" align="center">1</td> | ||
<td width="30%" border="1" align="center">Collect all post data</td> | <td width="30%" border="1" align="center">Collect all post data</td> | ||
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*Get all posts of SGAG on SGAG page, preferably all posts from 2 years ago to date | *Get all posts of SGAG on SGAG page, preferably all posts from 2 years ago to date | ||
*For each post, look out for 'Like' count, and when Graph API 2.6 is out, look out for the other Facebook reactions as well | *For each post, look out for 'Like' count, and when Graph API 2.6 is out, look out for the other Facebook reactions as well | ||
+ | </td></tr> | ||
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+ | <tr><td width="10%" border="1" align="center">2</td> | ||
+ | <td width="30%" border="1" align="center">All user objects for each like, for every post</td> | ||
+ | <td width="60%" align="center"> | ||
+ | *For each follower, explore whether privacy options by users will limit us to further classify these user objects | ||
+ | *Analyse 'Like' count per post, and if possible chart 'Likers' social network on a post-level basis | ||
+ | * | ||
</td></tr> | </td></tr> | ||
</table> | </table> |
Revision as of 23:49, 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 |
---|---|---|
1 | Collect all post data |
|
2 | All user objects for each like, for every post |
|