The graph represents a network of 26,346 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - week 41) of 37028 tweet IDs, or who were replied to or mentioned in those tweets. 35467 out of 37028 tweets were collected. The network was obtained from Twitter on Friday, 08 January 2021 at 11:21 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 56-minute period from Tuesday, 29 December 2020 at 00:03 UTC to Monday, 04 January 2021 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 : 26346
Unique Edges : 39015
Edges With Duplicates : 12491
Total Edges : 51506
Self-Loops : 12391
Reciprocated Vertex Pair Ratio : 0.00709179132332252
Reciprocated Edge Ratio : 0.0140837039571217
Connected Components : 6657
Single-Vertex Connected Components : 5242
Maximum Vertices in a Connected Component : 16468
Maximum Edges in a Connected Component : 39340
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.926944
Graph Density : 5.05355702858281E-05
Modularity : 0.613623
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 26,346 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - week 41) of 37028 tweet IDs, or who were replied to or mentioned in those tweets. 35467 out of 37028 tweets were collected. The network was obtained from Twitter on Friday, 08 January 2021 at 11:21 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 56-minute period from Tuesday, 29 December 2020 at 00:03 UTC to Monday, 04 January 2021 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 - covid19uk - week 41
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:
[2041] #covid19,#covid19uk [1508] #covid19uk,#covid19 [958] covid,19 [822] 24,hours [813] new,variant [766] first,time [765] #covid19uk,numbers [740] history,#covid19uk [730] london,ambulance [729] ambulance,service Top Word Pairs in Tweet in G1:
[534] #covid19,#covid19uk [315] #covid19uk,#covid19 [170] covid,19 [155] don,t [154] tier,4 [151] #lockdown,#covid19uk [134] new,year [122] #covid19uk,#lockdown [121] #covid19uk,#covid [117] #nationallockdown,#covid19uk Top Word Pairs in Tweet in G2:
[380] #covid19,#covid19uk [279] #covid19uk,#covid19 [275] borisjohnson,matthancock [272] #coronavirusuk,#covid19uk [148] 24,hours [145] new,variant [144] close,schools [127] don,t [119] boris,johnson [108] matthancock,borisjohnson Top Word Pairs in Tweet in G3:
[424] 24,hours [291] day,#covid19uk [289] last,24 [289] one,day [286] pretty,much [285] 850,patients [285] patients,admitted [285] admitted,hospital [285] hospital,covid [285] covid,england Top Word Pairs in Tweet in G4:
[470] vulnerable,children [364] #schoolsreopeninguk,#covid19uk [354] #covid19uk,numbers [353] control,virus [340] #covid19uk,#covid19 [339] poll,uk [338] lockdown,schools [337] gavinwilliamson,kategreensu [335] uk,lost [335] lost,control Top Word Pairs in Tweet in G5:
[381] new,#covid19uk [336] #covid19uk,'cases' [251] 1,news [251] news,many [251] many,new [251] 'cases',interestingly [251] interestingly,now [251] now,include [251] include,lots [251] lots,professional Top Word Pairs in Tweet in G6:
[528] 999,calls [528] calls,day [528] first,time [527] london,ambulance [527] ambulance,service [527] service,reporting [527] reporting,over [527] over,8000 [527] 8000,999 [527] day,first Top Word Pairs in Tweet in G7:
[124] #covid19,#covid19uk [107] covid,19 [103] s,time [103] won,t [102] dr,laurence [102] laurence,gerlis [102] gerlis,gp [102] gp,told [102] told,talkradio [102] talkradio,lost Top Word Pairs in Tweet in G8:
[73] tier,4 [64] rules,covid [64] covid,tier [64] 4,clear [64] clear,gather [64] gather,indoors [64] indoors,people [64] people,outside [64] outside,household [64] household,support Top Word Pairs in Tweet in G9:
[297] new,variant [296] unbelievable,#johnson [296] #johnson,blames [296] blames,rise [296] rise,#covid19uk [296] #covid19uk,numbers [296] numbers,exclusively [296] exclusively,new [296] variant,s [296] s,known Top Word Pairs in Tweet in G10:
[34] #covid19,#covid19uk [33] new,variant [28] #covid19uk,#covid [23] watched,someone [23] someone,channel4news [23] channel4news,problem [23] problem,news [23] news,focussing [23] focussing,rule [23] rule,breakers Top Replied-To in Entire Graph:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G9:
Top Tweeters in G10: