The graph represents a network of 24,250 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - week 27) of 32401 tweet IDs, or who were replied to or mentioned in those tweets. 31061 out of 32401 tweets were collected. The network was obtained from Twitter on Thursday, 01 October 2020 at 11:06 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 57-minute period from Tuesday, 22 September 2020 at 00:01 UTC to Monday, 28 September 2020 at 23:58 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 : 24250
Unique Edges : 35586
Edges With Duplicates : 12742
Total Edges : 48328
Self-Loops : 7957
Reciprocated Vertex Pair Ratio : 0.0106420404573439
Reciprocated Edge Ratio : 0.0210599599686711
Connected Components : 4238
Single-Vertex Connected Components : 2939
Maximum Vertices in a Connected Component : 16762
Maximum Edges in a Connected Component : 38463
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.781152
Graph Density : 5.86237374864645E-05
Modularity : 0.629869
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 24,250 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - week 27) of 32401 tweet IDs, or who were replied to or mentioned in those tweets. 31061 out of 32401 tweets were collected. The network was obtained from Twitter on Thursday, 01 October 2020 at 11:06 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 57-minute period from Tuesday, 22 September 2020 at 00:01 UTC to Monday, 28 September 2020 at 23:58 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 - week 27
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:
[1752] #covid19,#covid19uk [1735] question,asking [1734] #germany,#italy [1733] #italy,far [1733] far,lower [1733] lower,#covid_19 [1733] #covid_19,rates [1732] asking,johnson [1732] johnson,#germany [1732] rates,seems Top Word Pairs in Tweet in G1:
[324] #covid19,#covid19uk [146] covid,19 [131] #covid19uk,#covid19 [98] #covid19uk,#coronavirus [85] don,t [81] #covid_19,#covid19uk [79] #covidbriefing,#covid19uk [68] #covid19uk,#covid_19 [56] test,site [53] #coronavirus,#covid19uk Top Word Pairs in Tweet in G2:
[473] dead,bodies [444] pm,#covid19uk [444] next,few [444] few,days [441] point,next [441] days,emerge [441] emerge,borisjohnson [441] borisjohnson,follow [441] follow,chief [441] chief,medical Top Word Pairs in Tweet in G3:
[246] #covid19,#covid19uk [191] come,out [188] over,#covid19uk [188] time,come [188] everything,public [187] #covid19uk,over [186] clip,#gogglebox [186] #gogglebox,act [186] act,wake [186] wake,up Top Word Pairs in Tweet in G4:
[1402] #germany,#italy [1401] #italy,far [1401] far,lower [1401] lower,#covid_19 [1401] #covid_19,rates [1400] question,asking [1400] asking,johnson [1400] johnson,#germany [1400] rates,seems [1400] seems,struck Top Word Pairs in Tweet in G5:
[549] well,good [549] good,know [549] know,10 [549] 10,newspapers [549] newspapers,u [549] u,k [549] k,unique [549] unique,independent [549] independent,view [549] view,government's Top Word Pairs in Tweet in G6:
[1090] six,months [1088] months,ago [1088] ago,fit [1088] fit,life [1088] life,great [1088] great,teaching [1088] teaching,cycling [1088] cycling,kids [1088] kids,nursery [1088] nursery,swimming Top Word Pairs in Tweet in G7:
[736] government,#covid19uk [735] now,stop [734] further,action [734] action,needed [734] needed,now [734] stop,jobs [734] jobs,living [734] living,standards [734] standards,catastrophe [734] catastrophe,including Top Word Pairs in Tweet in G8:
[188] nothing,see [188] see,here [188] here,keep [188] keep,wearing [188] wearing,muzzle [188] muzzle,cover [188] cover,eyes [188] eyes,listen [188] listen,#msm [188] #msm,government Top Word Pairs in Tweet in G9:
[144] write,mp [101] six,months [94] next,six [82] music,industry [81] live,music [81] industry,complete [81] complete,hold [81] hold,#covid19uk [81] #covid19uk,government [81] government,seriously Top Word Pairs in Tweet in G10:
[387] #covid19uk,#lockdown2 [386] 6,friends [386] friends,remember [386] remember,last [386] last,time [386] time,out [386] out,past [386] past,10pm [386] 10pm,winning [386] winning,now Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G5:
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Top Mentioned in G7:
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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:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: