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Mapping the Great Beyond: Identifying Meaningful Networks in

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MAPPING THE GREAT BEYOND 47<br />

#helpiranelection - show support for democracy <strong>in</strong><br />

Iran add green overlay to your Twitter avatar with<br />

1-click—http://helpiranelection.com/<br />

Figure 23. #HelpIranElection word cloud<br />

The evidence from content supports that of <strong>the</strong> mapp<strong>in</strong>g:<br />

<strong>the</strong> level of engagement is higher by users of #Sohrab, #FreeIran<br />

and #Neda than #HelpIranElection. A fur<strong>the</strong>r dist<strong>in</strong>ction between<br />

<strong>the</strong> more engaged <strong>in</strong>dividuals and those who were <strong>in</strong>volved with<br />

#HelpIranElection can be demonstrated by <strong>the</strong> average tweets<br />

an <strong>in</strong>dividual user contributed to a particular tag. In <strong>the</strong> case of<br />

#FreeIran <strong>the</strong> average tweets per user was 15.4; #Sohrab was<br />

11.99; while #HelpIranElection was used on average 1.09 times—<br />

effectively <strong>the</strong> difference between “1-click to show your support” of<br />

#HelpIranElection and genu<strong>in</strong>e engagement.<br />

When decid<strong>in</strong>g which #tags to use, it can be useful to consider<br />

how often a #tag is used over time. This may help track when a<br />

tag is fall<strong>in</strong>g out of use or identify times at which some #tags are<br />

particularly active. For example, this can be seen by compar<strong>in</strong>g<br />

trends, as seen through <strong>the</strong> comparison of #GR88 and #Neda,

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