The graph represents a network of 8,143 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk week 23) of 9501 tweet IDs, or who were replied to or mentioned in those tweets. 9072 out of 9501 tweets were collected. The network was obtained from Twitter on Friday, 04 September 2020 at 17:28 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 51-minute period from Tuesday, 25 August 2020 at 00:05 UTC to Monday, 31 August 2020 at 23:57 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 : 8143
Unique Edges : 10732
Edges With Duplicates : 3198
Total Edges : 13930
Self-Loops : 1987
Reciprocated Vertex Pair Ratio : 0.00770914628343009
Reciprocated Edge Ratio : 0.0153003400075557
Connected Components : 1229
Single-Vertex Connected Components : 693
Maximum Vertices in a Connected Component : 5398
Maximum Edges in a Connected Component : 10381
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 4.964557
Graph Density : 0.000159697603808948
Modularity : 0.717783
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 8,143 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk week 23) of 9501 tweet IDs, or who were replied to or mentioned in those tweets. 9072 out of 9501 tweets were collected. The network was obtained from Twitter on Friday, 04 September 2020 at 17:28 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 51-minute period from Tuesday, 25 August 2020 at 00:05 UTC to Monday, 31 August 2020 at 23:57 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 23
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:
[907] find,out [897] more,#covid19uk [868] out,more [846] far,more [844] spread,word [844] smell,taste [843] #covid19,#breakingnews [843] #breakingnews,researchers [843] researchers,found [843] found,children Top Word Pairs in Tweet in G1:
[511] winter,#covid19uk [510] enjoy,bank [510] bank,holiday [510] holiday,weekend [510] weekend,reality [510] reality,return [510] return,uk [510] uk,heads [510] heads,winter [510] #covid19uk,still Top Word Pairs in Tweet in G2:
[827] #covid19,#breakingnews [827] #breakingnews,researchers [827] researchers,found [827] found,children [827] children,typically [827] typically,cough [827] cough,changes [827] changes,smell [827] smell,taste [827] taste,gastrointestinal Top Word Pairs in Tweet in G3:
[681] effects,deal [681] deal,brexit [680] people,johnson [680] johnson,hide [680] hide,effects [680] brexit,#covid19uk [680] #covid19uk,crisis [680] crisis,isn [680] isn,t [680] t,going Top Word Pairs in Tweet in G4:
[95] #covid19,#covid19uk [36] covid,19 [30] #covid19uk,#covid19 [20] #covid19uk,#coronavirus [20] #coronavirus,#covid19 [18] #covidー19,#covid19uk [17] #covid19,#coronavirus [17] #coronavirus,#coronavirusuk [17] go,back [17] don,t Top Word Pairs in Tweet in G5:
[73] #coronavirusuk,#covid19uk [34] #covid19,#covid19uk [33] dear,bbcnews [33] bbcnews,give [33] give,toss [33] toss,harry [33] harry,maguire [33] maguire,anything [33] anything,happening [33] happening,directly Top Word Pairs in Tweet in G6:
[379] work,home [379] home,debate [379] debate,#covid19uk [379] #covid19uk,bemused [379] bemused,things [379] things,become [379] become,emotional [379] emotional,illogical [197] social,distancing [188] offices,apply Top Word Pairs in Tweet in G7:
[64] #covid19uk,#kbf [47] #nomasks,#nonewnormal [44] #nonewnormal,#idonotconsent [27] #kbf,#nomasks [26] #tyranny,#covid19uk [26] #covid19uk,#idonotconsent [26] published,28 [26] 28,august [26] august,anyone [26] anyone,aware Top Word Pairs in Tweet in G8:
[456] #covid19,#covid19uk [444] covid,19 [443] #corona,#covid19 [442] coronavirus,covid [242] daily,coronavirus [240] 19,report [240] report,#coronavirus [201] trend,datasource [136] #coronavirus,#uk [136] #uk,#corona Top Word Pairs in Tweet in G9:
[39] join,home [39] home,common [39] common,sense [39] sense,10am [39] 10am,crusade [39] crusade,people [39] people,back [39] back,working [39] working,cities [39] cities,continues Top Word Pairs in Tweet in G10:
[113] #covid19uk,#coronavirusuk [53] #schoolsreopeninguk,#covid19uk [45] covid,19 [34] #coronavirusuk,#covid19update [34] 1st,27th [33] july,august [32] #covid19update,#coronavirusupdates [31] 19,cases [30] august,1st [26] comparison,covid 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:
Top Replied-To in G5:
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:
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:
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Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: