Difference between revisions of "APA Final Progress"

Revision as of 16:00, 17 February 2017

Preliminary analysis

Exploration of network : filtered for internal employees only
Looked for trends based on size of message : no correlation
Eigenvector centrality analysis : Found biased data- Although the network generated showed certain employees to have high influence, when we showed our results to the client, they mentioned that those individuals aren’t actually that influential. We understood that this was because the ties were given equal weightage.
Thus, we must weigh the ties differently using subject line weighting, reply rate, whether the email is a reply, forward or cc, hierarchy of email senders or recipients etc.

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 | style="padding:0.3em; font-family:Helvetica; font-size:120%; border-bottom:2px solid #66ffcc; border-top:2px solid #66ffcc; background:#66ffcc; text-align:center;" width="20%" |
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+{|style="width:100%;vertical-align:top;margin-top:20px;"
+|-
+|style="vertical-align:top;width:30%;" | <div style="background: #10d0e5; padding: 13px; font-weight: bold; text-align:center; line-height: wrap_content; text-indent: 20px;font-size:20px; font-family:helvetica"> <font color= #ffffff>Preliminary analysis</font></div><br/>
+<p>
+<ul>
+<li> Exploration of network : filtered for internal employees only</li>
+<li> Looked for trends based on size of message : no correlation</li>
+<li> Eigenvector centrality analysis : Found biased data- Although the network generated showed certain employees to have high influence, when we showed our results to the client, they mentioned that those individuals aren’t actually that influential. We understood that this was because the ties were given equal weightage. </li>
+<li>Thus, we must weigh the ties differently using subject line weighting, reply rate, whether the email is a reply, forward or cc, hierarchy of email senders or recipients etc.</li>
+</ul>
+<br><br>
+</p>
 <br>
 <p>
-To be updated later