The graph represents a network of 9,270 Twitter users whose recent tweets were included in a list (Tweet ID List #covid19uk August 2021) of 14416 tweet IDs, or who were replied to or mentioned in those tweets. 14037 out of 14416 tweets were collected. The network was obtained from Twitter on Wednesday, 01 September 2021 at 14:38 UTC.
The tweets in the network were tweeted over the 30-day, 22-hour, 41-minute period from Sunday, 01 August 2021 at 00:07 UTC to Tuesday, 31 August 2021 at 22:48 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 : 9270
Unique Edges : 15306
Edges With Duplicates : 7654
Total Edges : 22960
Self-Loops : 4212
Reciprocated Vertex Pair Ratio : 0.00889003414288475
Reciprocated Edge Ratio : 0.0176233956963157
Connected Components : 1207
Single-Vertex Connected Components : 751
Maximum Vertices in a Connected Component : 7055
Maximum Edges in a Connected Component : 19780
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.716908
Graph Density : 0.000182266508060705
Modularity : 0.579043
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 9,270 Twitter users whose recent tweets were included in a list (Tweet ID List #covid19uk August 2021) of 14416 tweet IDs, or who were replied to or mentioned in those tweets. 14037 out of 14416 tweets were collected. The network was obtained from Twitter on Wednesday, 01 September 2021 at 14:38 UTC.
The tweets in the network were tweeted over the 30-day, 22-hour, 41-minute period from Sunday, 01 August 2021 at 00:07 UTC to Tuesday, 31 August 2021 at 22:48 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 August 2021
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:
[1915] covid,19 [1681] #covid19,#covid19uk [874] due,covid [865] 982,people [865] people,currently [865] currently,mechanical [865] mechanical,ventilator [865] ventilator,due [865] 19,infection [865] infection,uk Top Word Pairs in Tweet in G1:
[570] #covid19uk,#covid19vaccination [552] big,pharma [551] bev,turner [551] turner,brings [551] brings,up [551] up,key [551] key,point [551] point,#pfizer [551] #pfizer,held [551] held,legally Top Word Pairs in Tweet in G2:
[140] #covid19,#covid19uk [120] unvaccinated,children [115] 26,8 [97] #covid19uk,data [95] year,olds [94] #survivalofthefittest,#covid19uk [93] dgurdasani1,zubhaque [88] 12,15yrs [87] 7,days [84] zubhaque,watched Top Word Pairs in Tweet in G3:
[926] covid,19 [713] 982,people [713] people,currently [713] currently,mechanical [713] mechanical,ventilator [713] ventilator,due [713] due,covid [713] 19,infection [713] infection,uk [713] uk,21st Top Word Pairs in Tweet in G4:
[89] #covid19,#covid19uk [40] covid,19 [35] #covid19uk,#covid19 [35] lockdown,tracks [28] #covid,#covid19uk [28] #covid,#covid19ph [28] #covid19ph,#covid19uk [28] #airporttransfer,#airportlife [28] #airportlife,#chauffeur [28] #chauffeur,#chauffeurservice Top Word Pairs in Tweet in G5:
[73] times,higher [69] #brexit,#covid19uk [62] #coviduk,#covid19uk [60] #covid19,#covid_19 [60] aim,along [60] along,make [60] make,capital [60] whatever,disaster [60] disaster,happens [60] #covid19uk,#climatecrisis Top Word Pairs in Tweet in G6:
[114] worse,borisjohnson [114] borisjohnson,presiding [114] presiding,over [114] over,150 [114] 150,000 [114] 000,#covid19uk [114] #covid19uk,deaths [114] deaths,michaelgove [114] michaelgove,filmed [114] filmed,high Top Word Pairs in Tweet in G7:
[414] #covid19uk,#coronavirusuk [414] #coronavirusuk,#dailycovidupdate [157] throughout,uk [145] reported,throughout [135] northern,ireland [124] new,cases [115] new,deaths [107] uk,today [98] compare,contrast [98] contrast,#covid19uk Top Word Pairs in Tweet in G8:
[197] #covid19uk,data [196] 26,8 [179] 7,days [162] deaths,24hrs [153] ventilation,beds [135] aug,2021 [113] schools,returning [110] 12,15yrs [96] infections,reported [95] 6,942 Top Word Pairs in Tweet in G9:
[215] mid,march [215] #covid19,#covid19uk [214] according,covid [214] covid,dashboard [214] dashboard,now [214] now,6 [214] 6,000 [214] 000,patients [214] patients,covid [214] covid,english Top Word Pairs in Tweet in G10:
[193] stay,safe [143] really,over [143] over,stay [143] safe,everyone [143] everyone,#covid19uk [54] mandatory,overtime [54] overtime,enormous [54] enormous,surveillance [54] surveillance,break [54] break,neck Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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 G5:
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Top Mentioned in G7:
Top Mentioned in G8:
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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:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: