The role of hidden influentials in the diffusion of online information cascades

EPJ Data Science

Table 1 Filtered hashtags and keywords

Keyword	Topic	Hashtags	Mentions	Words
15m	grassroots	389,818	3,475	132,049
acampada	grassroots	13,732	3,423	76,689
acampadasol	grassroots	251,344	90,737	3,866
anonymous	grassroots	70,037	4,188	112,859
democraciarealya	grassroots	81,256	1,893	8,798
indignados	grassroots	23,371	348	185,615
nonosvamos	grassroots	63,490	124	245
notenemosmiedo	grassroots	35,249	106	55
occupy	grassroots	18,223	1,467	39,037
perroflauta	grassroots	1,394	20	26,325
spanishrevolution	grassroots	242,426	926	3,123
20n	elections	180,323	227	71,440
25m	elections	59,812	40	11,887
elecciones	elections	30,935	269	593,046
hondt	elections	5	0	3,713
iu	elections	2,726	1,127	33,168
nolesvotes	elections	156,133	2,984	4,621
pp	elections	20,412	3,106	201,136
psoe	elections	14,896	22,681	122,222
vota	elections	11,464	297	246,764

Both ‘grassroots’ and ‘elections’ data sets were collected filtering Twitter traffic according to related keywords, which are listed in this table. For each keyword we display the number of hashtags found (keywords preceded by ‘#’), the number of mentions (keywords preceded by ‘@’) and the number of words (keywords with no preceding symbol).