The graph represents a network of 10,993 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - week 36) of 12931 tweet IDs, or who were replied to or mentioned in those tweets. 12372 out of 12931 tweets were collected. The network was obtained from Twitter on Thursday, 03 December 2020 at 11:55 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 59-minute period from Tuesday, 24 November 2020 at 00:00 UTC to Monday, 30 November 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 : 10993
Unique Edges : 14290
Edges With Duplicates : 4835
Total Edges : 19125
Self-Loops : 5431
Reciprocated Vertex Pair Ratio : 0.0166983549640407
Reciprocated Edge Ratio : 0.0328481990405724
Connected Components : 3410
Single-Vertex Connected Components : 2513
Maximum Vertices in a Connected Component : 5458
Maximum Edges in a Connected Component : 11835
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.505372
Graph Density : 0.000101783376506235
Modularity : 0.651601
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 10,993 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - week 36) of 12931 tweet IDs, or who were replied to or mentioned in those tweets. 12372 out of 12931 tweets were collected. The network was obtained from Twitter on Thursday, 03 December 2020 at 11:55 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 59-minute period from Tuesday, 24 November 2020 at 00:00 UTC to Monday, 30 November 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 : Tweet ID List - covid19uk - week 36
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:
[839] covid,19 [601] #covid19,#covid19uk [519] tier,3 [495] pandemic,response [495] first,#covid19uk [494] need,new [494] #covid19uk,#scrapserco [493] tories',privatising [493] privatising,pandemic [493] response,disaster Top Word Pairs in Tweet in G1:
[202] tier,3 [172] #covid19,#covid19uk [154] tier,2 [107] #covid19uk,#tiersystem [105] #tiersystem,#covid19uk [75] covid,19 [74] #covid19uk,#covid19 [71] don,t [57] tier,system [54] #covid19uk,#coronavirus Top Word Pairs in Tweet in G2:
[334] covid,19 [316] neighbour,matthancock [316] matthancock,supplying [316] supplying,government [316] government,tens [316] tens,millions [316] millions,vials [316] vials,nhs [316] nhs,covid [316] 19,tests Top Word Pairs in Tweet in G3:
[476] tories',privatising [476] privatising,pandemic [476] pandemic,response [476] response,disaster [476] disaster,need [476] need,new [476] new,approach [476] approach,puts [476] puts,people [476] people,health Top Word Pairs in Tweet in G4:
[255] tier,system [253] new,tier [252] johnson,one [252] one,himself [252] himself,blame [252] blame,fury [252] fury,over [252] over,shambolic [252] shambolic,new [252] system,autumn Top Word Pairs in Tweet in G5:
[21] mass,movement [16] #covid19,#covid19uk [16] winter,pressure [16] pressure,nhs [15] scenes,inside [15] inside,10 [15] 10,q [15] q,alexa [15] alexa,worst [15] worst,possible Top Word Pairs in Tweet in G6:
[95] specimen,date [75] last,7 [75] 7,days [68] #covid19,#covid19uk [66] new,#covid19uk [66] reported,today [66] nov,below [66] below,chart [66] chart,latest [66] latest,data Top Word Pairs in Tweet in G7:
[18] #covid19uk,#covid19 [15] #coronavirusuk,#covid19uk [11] find,out [10] #coronavirus,#coronavirusuk [9] tier,2 [8] #covid19,#uk [8] #uk,#nhs [8] #nhs,#coronavirus [8] #coronavirus,#laurencefox [8] #laurencefox,#lozzafox Top Word Pairs in Tweet in G8:
[12] tier,2 [9] #covid19uk,#covidiots [9] published,today [9] t,season [9] season,jolly [9] jolly,careful [9] careful,bbcnews [9] bbcnews,#boris [9] #boris,#lockdown3 [9] #lockdown3,#bojo Top Word Pairs in Tweet in G9:
[23] #coronavirus,#covid19uk [18] #covid19,#covid19uk [14] due,#covid19uk [14] home,educated [12] masks,class [9] much,longer [9] longer,going [9] #nhs,#covid19uk [9] wear,masks [8] 5,days Top Word Pairs in Tweet in G10:
[32] sheffield,resident [32] resident,describes [32] describes,experience [32] experience,test [32] test,trace [32] trace,fiasco [32] fiasco,began [32] began,messages [32] messages,carried [32] carried,threat Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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: