Cunningham, Pádraig

5 datasets credited to Cunningham, Pádraig.

5 datasets.

Twitter Multiple Network Views — Premier League football (UCD) Analyzed

The football dataset of the multi-view Twitter data of Derek Greene and Pádraig Cunningham (2013): 248 Twitter accounts, collected in 2012 from curated Twitter lists. A collection of English Premier League football players and clubs active on Twitter; the ground-truth communities correspond to the 20 individual clubs of the league. The accounts are described by nine views, given upstream as sparse matrices: six relation views between the accounts (who follows whom: 3,819 links; mentions: 3,312 account pairs; retweets: 1,350 pairs; each relation is listed in both directions, as a pair of views) and three feature views (words from the accounts' tweets: 224,890 entries over 11,806 words; Twitter lists the accounts appear on: 64,529 entries over 7,814 lists; merged list names: 58,528 entries over 3,601 words). The package also holds the 20 ground-truth communities (248 memberships). Accounts are identified by their Twitter IDs only; the upstream archive contains no tweets and no names.

248 records248 nodes4.7K edges2013

Twitter Multiple Network Views — London 2012 Olympics (UCD) Analyzed

The olympics dataset of the multi-view Twitter data of Derek Greene and Pádraig Cunningham (2013): 464 Twitter accounts, collected in 2012 from curated Twitter lists. Athletes and organisations involved in the London 2012 Summer Olympics; the ground-truth communities correspond to 28 different sports. The accounts are described by nine views, given upstream as sparse matrices: six relation views between the accounts (who follows whom: 10,642 links; mentions: 9,615 account pairs; retweets: 3,740 pairs; each relation is listed in both directions, as a pair of views) and three feature views (words from the accounts' tweets: 515,393 entries over 18,455 words; Twitter lists the accounts appear on: 46,478 entries over 4,942 lists; merged list names: 64,613 entries over 3,097 words). The package also holds the 28 ground-truth communities (464 memberships). Accounts are identified by their Twitter IDs only; the upstream archive contains no tweets and no names.

464 records464 nodes13.6K edges2013

Twitter Multiple Network Views — Irish politics (UCD) Analyzed

The politics-ie dataset of the multi-view Twitter data of Derek Greene and Pádraig Cunningham (2013): 348 Twitter accounts, collected in 2012 from curated Twitter lists. Irish politicians and political organisations, assigned to seven disjoint ground-truth groups according to their affiliation. The accounts are described by nine views, given upstream as sparse matrices: six relation views between the accounts (who follows whom: 16,856 links; mentions: 6,318 account pairs; retweets: 3,019 pairs; each relation is listed in both directions, as a pair of views) and three feature views (words from the accounts' tweets: 350,175 entries over 14,377 words; Twitter lists the accounts appear on: 15,225 entries over 1,047 lists; merged list names: 25,651 entries over 1,051 words). The package also holds the 7 ground-truth communities (348 memberships). Accounts are identified by their Twitter IDs only; the upstream archive contains no tweets and no names.

348 records348 nodes18.5K edges2013

Twitter Multiple Network Views — UK politics (UCD) Analyzed

The politics-uk dataset of the multi-view Twitter data of Derek Greene and Pádraig Cunningham (2013): 419 Twitter accounts, collected in 2012 from curated Twitter lists. Members of Parliament of the United Kingdom; the ground truth consists of five groups corresponding to political parties. The accounts are described by nine views, given upstream as sparse matrices: six relation views between the accounts (who follows whom: 27,340 links; mentions: 14,788 account pairs; retweets: 7,270 pairs; each relation is listed in both directions, as a pair of views) and three feature views (words from the accounts' tweets: 608,614 entries over 19,868 words; Twitter lists the accounts appear on: 61,064 entries over 3,614 lists; merged list names: 78,364 entries over 2,879 words). The package also holds the 5 ground-truth communities (419 memberships). Accounts are identified by their Twitter IDs only; the upstream archive contains no tweets and no names.

419 records419 nodes32.2K edges2013

Twitter Multiple Network Views — international rugby union (UCD) Analyzed

The rugby dataset of the multi-view Twitter data of Derek Greene and Pádraig Cunningham (2013): 854 Twitter accounts, collected in 2012 from curated Twitter lists. International Rugby Union players, clubs and organisations active on Twitter; the ground-truth communities correspond to 15 countries and overlap, because players can be assigned to both their home nation and the nation in which they play club rugby. The accounts are described by nine views, given upstream as sparse matrices: six relation views between the accounts (who follows whom: 35,757 links; mentions: 33,832 account pairs; retweets: 12,472 pairs; each relation is listed in both directions, as a pair of views) and three feature views (words from the accounts' tweets: 955,307 entries over 35,352 words; Twitter lists the accounts appear on: 77,023 entries over 5,900 lists; merged list names: 74,589 entries over 2,840 words). The package also holds the 15 ground-truth communities (1,051 memberships). Accounts are identified by their Twitter IDs only; the upstream archive contains no tweets and no names.

854 records854 nodes44.5K edges2013