The graph represents a network of 14,176 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - 17 May) of 15835 tweet IDs, or who were replied to or mentioned in those tweets. 14567 out of 15835 tweets were collected. The network was obtained from Twitter on Sunday, 11 October 2020 at 20:03 UTC.
The tweets in the network were tweeted over the 23-hour, 50-minute period from Sunday, 17 May 2020 at 00:01 UTC to Sunday, 17 May 2020 at 23:52 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 14176
Unique Edges : 18317
Edges With Duplicates : 1802
Total Edges : 20119
Self-Loops : 1901
Reciprocated Vertex Pair Ratio : 0.00412087912087912
Reciprocated Edge Ratio : 0.00820793433652531
Connected Components : 1442
Single-Vertex Connected Components : 848
Maximum Vertices in a Connected Component : 11309
Maximum Edges in a Connected Component : 16575
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.417987
Graph Density : 8.73075590908548E-05
Modularity : 0.786545
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 14,176 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - 17 May) of 15835 tweet IDs, or who were replied to or mentioned in those tweets. 14567 out of 15835 tweets were collected. The network was obtained from Twitter on Sunday, 11 October 2020 at 20:03 UTC.
The tweets in the network were tweeted over the 23-hour, 50-minute period from Sunday, 17 May 2020 at 00:01 UTC to Sunday, 17 May 2020 at 23:52 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterIDList
Graph Term : Tweet ID List - covid19uk - 17 May
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[3610] until,september [3546] back,until [3545] 1,8 [3541] teacher,pupil [3541] #edutwitter,#covid19uk [3540] eton,around [3540] around,1 [3540] 1,300 [3540] 300,pupils [3540] pupils,teacher Top Word Pairs in Tweet in G1:
[3132] #edutwitter,#covid19uk [3131] eton,around [3131] around,1 [3131] 1,300 [3131] 300,pupils [3131] pupils,teacher [3131] teacher,pupil [3131] pupil,ratio [3131] ratio,1 [3131] 1,8 Top Word Pairs in Tweet in G2:
[1355] difference,shocking [1355] shocking,#covid19uk [1355] #covid19uk,#borisresign [1355] #borisresign,#jacindaardern [20] important,time [20] time,hold [20] hold,government [20] government,responsible [20] responsible,anything [20] anything,#covid19uk Top Word Pairs in Tweet in G3:
[1104] public,health [1102] jenny,harries [1101] think,dr [1101] dr,jenny [1101] harries,menace [1101] menace,public [1101] health,sacked [1101] sacked,#covid19uk [101] eton,around [101] around,1 Top Word Pairs in Tweet in G4:
[129] 1,5 [128] before,#covid19uk [127] 17,200 [127] tried,comment [127] comment,tfl [127] tfl,'bailout' [127] 'bailout',lie [127] lie,jamescleverly [127] jamescleverly,shame [127] shame,office Top Word Pairs in Tweet in G5:
[38] #covid19,#covid19uk [31] #coronavirusuk,#covid19uk [29] #covid19uk,#coronavirusuk [28] #coronavirus,#covid19uk [27] #covid19uk,#covid19 [25] covid,19 [24] #covid19uk,#coronavirus [23] #covididiots,#covid19uk [19] social,distancing [17] #covid19uk,#lockdown Top Word Pairs in Tweet in G6:
[690] once,again [690] again,asked [690] asked,translate [690] translate,recent [690] recent,uk [690] uk,gov [690] gov,comments [690] comments,mr [690] mr,gove [690] gove,et Top Word Pairs in Tweet in G7:
[682] covid,briefing [680] briefing,full [680] full,sketch [680] sketch,#covid19uk [680] #covid19uk,#covid19 [680] #covid19,#coronavirus [680] #coronavirus,#stayalert [15] eton,around [15] around,1 [15] 1,300 Top Word Pairs in Tweet in G8:
[284] #nikegate,#covid19uk [275] great,snp [275] snp,nike [275] nike,cover [275] cover,up [275] up,lot [275] lot,worse [275] worse,time [275] time,nicolasturgeon [275] nicolasturgeon,come Top Word Pairs in Tweet in G9:
[210] few,days [105] gove,hired [105] hired,more [105] more,17 [105] 17,000 [105] 000,contact [105] contact,tracers [105] tracers,well [105] well,few [105] days,ago Top Word Pairs in Tweet in G10:
[199] during,#covid19uk [198] seeing,lot [198] lot,shooty [198] shooty,people [198] people,twitter [198] twitter,querying [198] querying,rspb's [198] rspb's,natures_voice [198] natures_voice,recent [198] recent,press Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: