The graph represents a network of 30,037 Twitter users whose recent tweets were included in a list (Tweet ID List - #covid19uk - week 42) of 38761 tweet IDs, or who were replied to or mentioned in those tweets. 37366 out of 38761 tweets were collected. The network was obtained from Twitter on Thursday, 14 January 2021 at 18:54 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 54-minute period from Tuesday, 05 January 2021 at 00:00 UTC to Monday, 11 January 2021 at 23:55 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 : 30037
Unique Edges : 43374
Edges With Duplicates : 11571
Total Edges : 54945
Self-Loops : 10767
Reciprocated Vertex Pair Ratio : 0.00993866566528977
Reciprocated Edge Ratio : 0.0196817212830301
Connected Components : 5796
Single-Vertex Connected Components : 4283
Maximum Vertices in a Connected Component : 20663
Maximum Edges in a Connected Component : 43039
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.027008
Graph Density : 4.47155703774817E-05
Modularity : 0.671089
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 30,037 Twitter users whose recent tweets were included in a list (Tweet ID List - #covid19uk - week 42) of 38761 tweet IDs, or who were replied to or mentioned in those tweets. 37366 out of 38761 tweets were collected. The network was obtained from Twitter on Thursday, 14 January 2021 at 18:54 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 54-minute period from Tuesday, 05 January 2021 at 00:00 UTC to Monday, 11 January 2021 at 23:55 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 42
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:
[2735] 7,days [2729] isn,t [2647] won,t [2562] 28,day [2558] allowed,#covid19uk [2557] died,today [2555] #covid19,#covid19uk [2552] shouldn,t [2550] day,cut [2548] t,right Top Word Pairs in Tweet in G1:
[551] #covid19,#covid19uk [282] #covid19uk,#covid19 [191] covid,19 [134] #covid19uk,#coronavirus [126] don,t [120] #lockdown,#covid19uk [112] stay,home [110] #covid19uk,#lockdown [80] #covid19uk,#covid [77] #covid19uk,#lockdownuk Top Word Pairs in Tweet in G2:
[438] #covid19,#covid19uk [287] borisjohnson,#covid19uk [253] #covid19uk,#covid19 [202] apart,fellow [202] fellow,bullingdon [202] bullingdon,club [202] club,member [202] member,douglas [202] douglas,haig [202] haig,battle Top Word Pairs in Tweet in G3:
[1903] 7,days [1903] 28,day [1903] day,cut [1903] isn,t [1902] died,today [1902] covid19,death [1902] won,t [1901] friend,died [1901] today,covid19 [1901] death,won Top Word Pairs in Tweet in G4:
[243] aren,t [242] people,vaccinated [241] t,people [241] people,receiving [241] receiving,#covid19uk [241] #covid19uk,vaccines [241] vaccines,receiving [241] receiving,certification [241] certification,soon [241] soon,countries Top Word Pairs in Tweet in G5:
[884] #aviation,#avgeek [452] #covid19uk,#aviation [432] eurovision,typhoon [376] breaking,a380 [376] a380,bombers [376] bombers,#rafluton [376] #rafluton,started [376] started,distributing [376] distributing,#covidvaccine [376] #covidvaccine,airborne Top Word Pairs in Tweet in G6:
[891] nicola,stood [891] stood,95 [891] 95,minutes [891] minutes,today [891] today,talking [891] talking,through [891] through,aspect [891] aspect,lockdown [891] lockdown,taking [891] taking,questions Top Word Pairs in Tweet in G7:
[136] very,high [136] high,chance [114] #covid19,patients [94] southend,hospital [91] oxygen,supplies [91] supplies,southend [91] hospital,described [91] described,being [91] being,critical [91] critical,situation Top Word Pairs in Tweet in G8:
[738] secondary,children [722] #covid19uk,infection [722] infection,survey [722] survey,shows [722] shows,infection [722] infection,children [722] children,peaked [722] peaked,christmas [722] christmas,day [722] day,1 Top Word Pairs in Tweet in G9:
[226] chris,hopson [225] great,see [225] see,juliahb1 [225] juliahb1,taking [225] taking,chris [225] hopson,doctor [225] doctor,spent [225] spent,life [225] life,politics [225] politics,civil Top Word Pairs in Tweet in G10:
[555] ont,été [460] #covid19,sur [460] gouvernement,#covid19uk [303] flash,reine [303] reine,elizabeth [303] elizabeth,ii [303] ii,et [303] et,prince [303] prince,philip [303] philip,ont 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 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:
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Top Mentioned in G9:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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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: