The graph represents a network of 7,043 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19 - 19 May 2020) of 7458 tweet IDs, or who were replied to or mentioned in those tweets. 6939 out of 7458 tweets were collected. The network was obtained from Twitter on Monday, 12 October 2020 at 08:54 UTC.
The tweets in the network were tweeted over the 23-hour, 58-minute period from Monday, 18 May 2020 at 00:00 UTC to Monday, 18 May 2020 at 23:59 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 : 7043
Unique Edges : 9661
Edges With Duplicates : 1669
Total Edges : 11330
Self-Loops : 1475
Reciprocated Vertex Pair Ratio : 0.0107763360457444
Reciprocated Edge Ratio : 0.0213228894691036
Connected Components : 1135
Single-Vertex Connected Components : 604
Maximum Vertices in a Connected Component : 4363
Maximum Edges in a Connected Component : 7701
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.981351
Graph Density : 0.000185334515291166
Modularity : 0.779943
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 7,043 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19 - 19 May 2020) of 7458 tweet IDs, or who were replied to or mentioned in those tweets. 6939 out of 7458 tweets were collected. The network was obtained from Twitter on Monday, 12 October 2020 at 08:54 UTC.
The tweets in the network were tweeted over the 23-hour, 58-minute period from Monday, 18 May 2020 at 00:00 UTC to Monday, 18 May 2020 at 23:59 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 - covid19 - 19 May 2020
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:
[802] until,september [800] #edutwitter,#covid19uk [795] back,until [794] eton,around [794] around,1 [794] 1,300 [794] 300,pupils [794] pupils,teacher [794] teacher,pupil [794] pupil,ratio Top Word Pairs in Tweet in G1:
[148] #covid19,#coronavirus [118] john,edmunds [118] #covid19uk,deaths [117] prof,john [117] 30,000 [115] #sage,member [115] member,prof [115] edmunds,#herdimmunity [115] #herdimmunity,pre [115] pre,post Top Word Pairs in Tweet in G2:
[740] eton,around [740] around,1 [740] 1,300 [740] 300,pupils [740] pupils,teacher [740] teacher,pupil [740] pupil,ratio [740] ratio,1 [740] 1,8 [740] 8,average Top Word Pairs in Tweet in G3:
[644] once,again [644] again,asked [644] asked,translate [644] translate,recent [644] recent,uk [644] uk,gov [644] gov,comments [644] comments,mr [644] mr,gove [644] gove,et Top Word Pairs in Tweet in G4:
[39] #covid19,#covid19uk [34] covid,19 [31] #covid19uk,#covid19 [28] #coronavirusuk,#covid19uk [27] #coronavirus,#covid19uk [19] #covid19uk,#coronavirusuk [19] #covid19uk,#coronavirus [16] #covid19uk,#covid_19 [14] back,school [13] don,t Top Word Pairs in Tweet in G5:
[79] #covid19,#covid19uk [72] uk,pm [72] pm,proven [72] proven,statesman [72] statesman,never [72] never,addresses [72] addresses,public [72] public,#covid19uk [72] #covid19uk,daily [72] daily,unlike Top Word Pairs in Tweet in G6:
[205] listen,live [202] live,juliahb1 [102] ex,prof [102] prof,karol [102] karol,sikora [102] juliahb1,profkarolsikora [101] profkarolsikora,#covid19uk [96] juliahb1,#covid19uk [78] sikora,we've [78] we've,scared Top Word Pairs in Tweet in G7:
[62] care,homes [55] piersmorgan,#covid19uk [50] lying,government [49] protective,arm [49] arm,around [49] around,care [49] homes,out [49] out,out [49] out,lie [49] lie,stop Top Word Pairs in Tweet in G8:
[133] covid,briefing [133] #covid19uk,#covid19 [133] #covid19,#coronavirus [133] #coronavirus,#stayalert [132] briefing,full [132] full,sketch [132] sketch,#covid19uk [11] probably,important [11] important,task [11] task,inquiry Top Word Pairs in Tweet in G9:
[60] disabled,campaigner [60] campaigner,warned [60] warned,uk [60] uk,government [60] government,failure [60] failure,provide [60] provide,vital [60] vital,public [60] public,health [60] health,information Top Word Pairs in Tweet in G10:
[113] think,dr [113] dr,jenny [113] jenny,harries [113] harries,menace [113] menace,public [113] public,health [113] health,sacked [113] sacked,#covid19uk [4] eton,around [4] around,1 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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 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: