Example Twitter Search Report: #sotondiglit

A graphical report on a search for up to 1500 recent tweets tagged #sotondiglit.

If you want to run the script used to generate this report yourself using the latest version of RSTudio, you can find it here: https://github.com/psychemedia/Twitter-Backchannel-Analysis/blob/master/twitterSearchDemoX.Rmd

(It requires a few R libraries you may need to install…)

First, who is being RTd, and how often were they RTd in the sample?

[Disable output with r opts_chunk$set(echo=FALSE, message=FALSE) in single backtick quotes]

Let's start by seeing who's been tweeting most amongst the sampled tweets…

plot of chunk unnamed-chunk-1

And who's been RTd most:

plot of chunk unnamed-chunk-2

Start off with some simple summary tables of who's been tweeting, RTd, etc.

Top ten users by ‘RT of’ and ‘from’ count
	Name	rtofCount	toCount	rtbyCount	fromCount
1	timbuckteeth	41	14	19	66
2	cristinacost	32	8	5	59
3	dajbconf	23	7	8	69
4	C01Clem	16	6	1	31
5	suukii	13	2	30	60
6	suebecks	13	7	15	49
7	lisaharris	13	3	13	28
8	rikkiprince	11	7	7	29
9	GraemeEarl	11	2	3	21
10	IvanMelendezCh	11	1	3	19

Top ten users by ‘RT by’‘ count
	Name	rtbyCount	rtofCount	toCount	fromCount
1	fionajharvey	33	10	3	63
2	suukii	30	13	2	60
3	madelinep	22	10	9	59
4	timbuckteeth	19	41	14	66
5	Emmadw	18	9	9	48
6	suebecks	15	13	7	49
7	lisaharris	13	13	3	28
8	CITEsoton	12	6	2	24
9	dajbconf	8	23	7	69
10	Tim10101	8	4	3	28

Top ten users by 'from’‘ count
	Name	fromCount	rtbyCount	rtofCount	toCount
1	dajbconf	69	8	23	7
2	timbuckteeth	66	19	41	14
3	fionajharvey	63	33	10	3
4	suukii	60	30	13	2
5	cristinacost	59	5	32	8
6	madelinep	59	22	10	9
7	suebecks	49	15	13	7
8	Emmadw	48	18	9	9
9	C01Clem	31	1	16	6
10	mushychelle	30	5	5	8

It's easy to add in Google Chart component sortable tables:

Now lets try an accession plot (based on an oriiginal idea by @mediaczar)

plot of chunk unnamed-chunk-8

The accession plot shows the accession of folk using the search term in the tweet sample, and each of their sampled tweets thereafter.

We can add value to the chart by colouring tweets to see which were original tweets and which were RTs.

plot of chunk unnamed-chunk-9

We can also limit the chart to only show original tweets:

plot of chunk unnamed-chunk-10

Or only show RTs:

plot of chunk unnamed-chunk-11

## Warning: font width unknown for character 0x1d

## Warning: font width unknown for character 0x1d

## Warning: font metrics unknown for character 0x1d

## NULL

plot of chunk unnamed-chunk-12

## NULL

plot of chunk unnamed-chunk-13

Let's look to see what tags were used in the sample four times or more:

plot of chunk unnamed-chunk-14