The graph represents a network of 30,340 Twitter users whose recent tweets were included in a list (Covid19UK - week 14) of 39218 tweet IDs, or who were replied to or mentioned in those tweets. 37718 out of 39218 tweets were collected. The network was obtained from Twitter on Tuesday, 30 June 2020 at 06:24 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 41-minute period from Tuesday, 23 June 2020 at 00:17 UTC to Monday, 29 June 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 : 30340
Unique Edges : 44570
Edges With Duplicates : 10087
Total Edges : 54657
Self-Loops : 6292
Reciprocated Vertex Pair Ratio : 0.00972238221403064
Reciprocated Edge Ratio : 0.0192575353092842
Connected Components : 3378
Single-Vertex Connected Components : 2129
Maximum Vertices in a Connected Component : 23592
Maximum Edges in a Connected Component : 45408
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 4.243586
Graph Density : 4.76129297279567E-05
Modularity : 0.668142
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 30,340 Twitter users whose recent tweets were included in a list (Covid19UK - week 14) of 39218 tweet IDs, or who were replied to or mentioned in those tweets. 37718 out of 39218 tweets were collected. The network was obtained from Twitter on Tuesday, 30 June 2020 at 06:24 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 41-minute period from Tuesday, 23 June 2020 at 00:17 UTC to Monday, 29 June 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 : Covid19UK - week 14
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:
[7614] bournemouth,beach [7101] beach,yesterday [7099] yesterday,people [7093] #covid19uk,#plasticpollution [7089] rubbish,left [7089] people,even [7088] tonnes,rubbish [7088] even,defecated [7088] defecated,burger [7088] burger,boxes Top Word Pairs in Tweet in G1:
[6463] bournemouth,beach [6463] #covid19uk,#plasticpollution [6461] tonnes,rubbish [6461] rubbish,left [6461] left,bournemouth [6461] beach,yesterday [6461] yesterday,people [6461] people,even [6461] even,defecated [6461] defecated,burger Top Word Pairs in Tweet in G2:
[370] #covid19uk,#lockdown [336] #covid19,#covid19uk [332] take,risk [327] #covid_19,#coronavirus [325] catching,#covid19 [325] out,spend [325] #covid19uk,#covid19uk [324] retweet,take [324] risk,catching [324] #covid19,see Top Word Pairs in Tweet in G3:
[1270] civil,service [1259] #covid19uk,pandemic [1234] contact,no10 [1232] blame,#covid19uk [1230] clear,borisjohnson [1229] no10,saying [1229] saying,morning [1229] morning,now [1229] now,clear [1229] borisjohnson,lining Top Word Pairs in Tweet in G4:
[180] #covid19,#covid19uk [130] covid,19 [83] social,distancing [74] #covid19uk,#covid19 [74] #coronavirusuk,#covid19uk [64] #covid19uk,#coronavirus [60] #coronavirus,#covid19uk [56] don,t [51] 4th,july [49] #covid19uk,#coronavirusuk Top Word Pairs in Tweet in G5:
[264] boris,johnson [213] nightingale,hospitals [211] failed,#covid19uk [211] lot,more [210] #covid19uk,projects [210] projects,added [210] added,up [210] up,lot [210] more,11 [210] 11,8 Top Word Pairs in Tweet in G6:
[3380] covid,test [1690] text,morning [1690] morning,covid [1690] test,negative [1690] negative,never [1690] never,covid [1690] test,stated [1690] stated,date [1690] date,test [1690] test,done Top Word Pairs in Tweet in G7:
[976] s,disgraceful [976] disgraceful,many [976] many,care [976] care,workers [976] workers,provide [976] provide,care [976] care,clients [976] clients,homes [976] homes,still [976] still,access Top Word Pairs in Tweet in G8:
[257] last,day [255] emanuel,gomes [255] gomes,spent [255] spent,last [255] day,life [255] life,cleaning [255] cleaning,office [255] office,ministry [255] ministry,justice [255] justice,here Top Word Pairs in Tweet in G9:
[272] uk,home [182] during,#covid19uk [136] scandalous,uk [136] home,secretary [136] secretary,pritipatel [136] pritipatel,once [136] once,asked [136] asked,#marr [136] #marr,abt [136] abt,glasgow Top Word Pairs in Tweet in G10:
[410] bournemouth,beach [401] #bournemouthbeach,#heatwaveuk [397] #covid19uk,#coronavirusuk [392] nhs,treatment [391] share,think [391] think,everyone [391] everyone,bournemouth [391] beach,refused [391] refused,nhs [391] treatment,coronavirus 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 Replied-To in G10:
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:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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: