Using Twitter to access the human right of communication for people who use Augmentative and Alternative Communication (AAC)

Figures & data

Figure 1. Twitter data for @User1 (bottom), @User2 (middle) and @User3 (top).

Table I. Features of the Twitter data for @User 1, @User 2 and @User 3.

Feature	@User1 3 mos pre	@User1 0–3 mos post	@User1 3–6 mos post	Feature	@User2 3 mos pre	@User2 0–3 mos post	@User2 3–6 mos post	Feature	@User3 3 mos pre	@User3 0–3 mos post	@User3 4–6 mos post
Tweets	1	5	0	Tweets	111	76	78	Tweets	45	73	142
Retweets	0	0	0	Retweets	15	11	18	Retweets	0	0	8
Mentions	11	0	0	Mentions	70	50	38	Mentions	7	4	25
Total	12	5	0	Total	196	137	134	Total	52	77	175
Nodes	12	6	0	Nodes	63	66	80	Nodes	18	25	63
Edges	22	5	0	Edges	135	138	156	Edges	24	28	97
Density	n/a	n/a	n/a	Density	0.04	0.032	0.025	Density	0.08	0.047	0.025

Figure 2. @User3 Gephi visualisation 3 months pre-training, 0–3 months post-training and 3–6 months post-training.

Figure 3. CON Plot @User2 – full 3 months pre-training (left) and CON Plot @User2 at 3–6 months post (right).

Figure 4. MDS visualisation @User3–3 months up to training (left) and 3–6 mos post-training (right).