#rstatsnyc
Row
Total Tweets
1425User Count
300SCOREBOARD #1 :
| Handle | Score |
|---|---|
| @Jeieddy | 64 |
| @HackRBoston | 50 |
| @JonTheGeek | 40 |
| @ludmila_janda | 34 |
| @phillynerd | 34 |
SCOREBOARD #2:
| Handle | Total Tweets |
|---|---|
| @JonTheGeek | 258 |
| @dikayodata | 69 |
| @phillynerd | 54 |
| @PnoJai | 52 |
| @Jeieddy | 49 |
SCOREBOARD #3 :
| Handle | Score |
|---|---|
| @phillynerd | 324 |
| @Jeieddy | 300 |
| @HackRBoston | 208 |
| @trevin_flick | 109 |
| @kpivert | 82 |
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What we’re Tweeting
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Shared on Twitter
Wordclouds : Unigram & Bigram
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Tweet Timeline
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Tweets Over Time
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Top 25 Tweeters (Total Tweets)
Row
Top 25
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But… are they original?
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Original VS Retweet Breakdown
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Mash-up Metric Details
Contribution & Engagement
\[:= I_{n_O>0}\times \frac{4RT + L}{\sqrt{F}+1} + \frac{3p + 2m + h}{.25n_O + n_{RT} + 1}\]
Dedicated Small Players
\[:= \frac{3p + 2m + h }{I_{F\leq500}+I_{f>500}\sqrt{F-500}}\]
, where
\(RT\) : retweeted by others
\(L\) : liked by others
\(F\) : followers
\(p\) : number of images/media/urls
\(m\) : number of users mentioned (@)
\(h\) : number of hashtags (#)
\(n_{RT}\) : number of retweets shared by you
\(n_O\) : number of original tweets