The graph represents a network of 25,091 Twitter users whose recent tweets were included in a list (COVID19UK - week 11) of 34507 tweet IDs, or who were replied to or mentioned in those tweets. 34150 out of 34507 tweets were collected. The network was obtained from Twitter on Wednesday, 10 June 2020 at 20:05 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 29-minute period from Tuesday, 02 June 2020 at 00:14 UTC to Monday, 08 June 2020 at 23:44 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 : 25091
Unique Edges : 46317
Edges With Duplicates : 13934
Total Edges : 60251
Self-Loops : 6637
Reciprocated Vertex Pair Ratio : 0.00961890211099395
Reciprocated Edge Ratio : 0.0190545206530543
Connected Components : 3212
Single-Vertex Connected Components : 2003
Maximum Vertices in a Connected Component : 18701
Maximum Edges in a Connected Component : 51221
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.662706
Graph Density : 7.45282389320887E-05
Modularity : 0.628748
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 25,091 Twitter users whose recent tweets were included in a list (COVID19UK - week 11) of 34507 tweet IDs, or who were replied to or mentioned in those tweets. 34150 out of 34507 tweets were collected. The network was obtained from Twitter on Wednesday, 10 June 2020 at 20:05 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 29-minute period from Tuesday, 02 June 2020 at 00:14 UTC to Monday, 08 June 2020 at 23:44 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 : COVID19UK - week 11
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 G2:
[1199] #coronavirus,#covid19uk [1098] #coronavirusuk,#covid19uk [1074] #covid19uk,#stayhomesavelives [1073] #toriesout,#torieslie [1073] #sackcummings,#sackcummngs [1073] #torieslie,#johnsonabuseofpower [1073] #johnsonabuseofpower,#borisjohnsonmustgo [1073] #borisjohnsonmustgo,#matthancockmustgo [1073] #matthancockmustgo,#sackcummings [1073] #sackcummngs,#sackpreetipatel Top Word Pairs in Tweet in G3:
[247] second,wave [196] wave,#covid19uk [179] #lockdownfailed,now [178] now,tories [176] tories,best [175] best,out [175] out,excuse [175] excuse,second [175] #covid19uk,blame [175] blame,ppl Top Word Pairs in Tweet in G4:
[352] covid,19 [334] #covid19uk,#covid19 [331] #covid19,#covid19uk [331] #coronavirusuk,#covid19uk [331] social,distancing [331] #covid19uk,#coronavirusuk [331] don,t [331] second,wave [331] #covid19uk,#coronavirus [331] #coronavirus,#covid19uk Top Word Pairs in Tweet in G5:
[123] deaths,#covid19uk [78] report,bme [77] ethnic,minority [61] phe_uk's,report [52] during,#covid19uk [50] black,ethnic [46] bme,deaths [41] minority,people [39] #covid19,#covid19uk [39] access,healthcare Top Word Pairs in Tweet in G6:
[334] rees,mogg [320] more,pics [319] pics,logjam [318] logjam,earlier [274] earlier,mps [227] mps,pouring [224] pouring,down [204] down,portcullis [202] portcullis,house [181] house,escalators Top Word Pairs in Tweet in G7:
[884] scottish,government [657] out,#covid19uk [657] #covid19uk,statistics [657] statistics,shame [657] shame,scottish [657] government,advantages [657] advantages,countries [657] countries,latest [657] latest,column [657] column,thescotsman Top Word Pairs in Tweet in G8:
[155] eu,countries [122] countries,imposing [122] imposing,travel [122] travel,ban [122] ban,uk [122] uk,due [122] due,government's [122] government's,handling [122] handling,#coronavirus [122] #coronavirus,pandemic Top Word Pairs in Tweet in G9:
[283] reading,black [228] black,people [228] people,highest [228] highest,diagnosis [228] diagnosis,mortality [228] mortality,rates [228] rates,covid [228] covid,19 [228] 19,made [228] made,up Top Word Pairs in Tweet in G10:
[695] #covid19uk,#plandemic [695] #covid19uk,#endthelockdownuk [695] #covid19,#covid19uk [695] #plandemic,#surveillancestate [695] #covid19uk,#coronavirus [695] 50,000 [695] care,homes [695] potential,50 [695] 000,cancer [695] cancer,patient Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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: