The graph represents a network of 44,803 Twitter users whose recent tweets were included in a list (#Covid19UK import 19-25 May 2020 inclusive) of 63435 tweet IDs, or who were replied to or mentioned in those tweets. 62798 out of 63435 tweets were collected. The network was obtained from Twitter on Wednesday, 27 May 2020 at 18:52 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 59-minute period from Tuesday, 19 May 2020 at 00:00 UTC to Monday, 25 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 : 44803
Unique Edges : 76034
Edges With Duplicates : 22051
Total Edges : 98085
Self-Loops : 12378
Reciprocated Vertex Pair Ratio : 0.0110558541215476
Reciprocated Edge Ratio : 0.0218699176241918
Connected Components : 5748
Single-Vertex Connected Components : 3817
Maximum Vertices in a Connected Component : 34046
Maximum Edges in a Connected Component : 84102
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 4.864989
Graph Density : 3.76776546452953E-05
Modularity : 0.628763
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 44,803 Twitter users whose recent tweets were included in a list (#Covid19UK import 19-25 May 2020 inclusive) of 63435 tweet IDs, or who were replied to or mentioned in those tweets. 62798 out of 63435 tweets were collected. The network was obtained from Twitter on Wednesday, 27 May 2020 at 18:52 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 59-minute period from Tuesday, 19 May 2020 at 00:00 UTC to Monday, 25 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 : #Covid19UK import 19-25 May 2020 inclusive
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 G2:
[1926] care,homes [1355] homes,mortality [1067] mortality,england [1010] england,21 [997] 21,wales [990] wales,25 [990] 25,scotland [990] scotland,45 [988] 45,germany [987] germany,37 Top Word Pairs in Tweet in G3:
[1889] covid,19 [1833] #coronavirus,#covid19uk [1833] dominic,cummings [1833] #covid19uk,#coronavirus [1833] #covid19,#covid19uk [1833] #coronavirusuk,#covid19uk [1833] #covid19uk,#covid19 [1833] #covid_19,#covid19uk [1833] #lockdown,#covid19uk [1833] #covidー19,#covid19uk Top Word Pairs in Tweet in G4:
[151] track,trace [142] trace,app [142] director,idox [122] sister,director [117] idox,company [112] company,given [101] given,contract [96] contract,track [92] app,lives [90] lives,durham Top Word Pairs in Tweet in G5:
[2908] #covid19,#covid19uk [2898] during,#covid19uk [2895] #coronavirus,#covid19uk [2894] care,homes [2894] borisjohnson,s [2894] cummings,go [2894] pm,s [2894] now,s [2894] pm,cummings [2894] #covid19uk,#sackdom Top Word Pairs in Tweet in G6:
[261] lock,down [163] #covid19uk,#coronavirus [156] #covid,#coronavirus [154] #covid19uk,#endthelockdownuk [128] seasonal,flu [124] uk,government [122] over,#covid19uk [122] government,tell [122] tell,truth [122] truth,over Top Word Pairs in Tweet in G7:
[340] right,now [273] gov,world [228] world,'recess' [205] 'recess',right [203] now,premier [201] premier,decided [201] decided,need [200] need,break [200] break,leader [200] leader,abandoned Top Word Pairs in Tweet in G8:
[526] covid,briefing [522] briefing,full [522] full,sketch [522] sketch,#covid19uk [522] #covid19uk,#covid19 [522] #covid19,#coronavirus [522] #coronavirus,#stayalert [522] hear,those [522] #covidー19,#covid19uk [522] writing,more Top Word Pairs in Tweet in G9:
[927] one,law [927] #covid19uk,symptoms [927] remember,sick [927] sick,feel [927] feel,#covid19uk [927] symptoms,ring [927] ring,111 [44] 111,ring [25] ring,aa [22] aa,travel Top Word Pairs in Tweet in G10:
[439] handling,#covid19uk [352] lost,trust [346] trust,govts [346] govts,handling [346] #covid19uk,please [346] please,share [346] share,bigger [346] bigger,response [346] track,trace [346] scummings,sister Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: