The graph represents a network of 40,443 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19 - week 4) of 59301 tweet IDs, or who were replied to or mentioned in those tweets. 55141 out of 59301 tweets were collected. The network was obtained from Twitter on Wednesday, 23 September 2020 at 19:53 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 57-minute period from Tuesday, 14 April 2020 at 00:00 UTC to Monday, 20 April 2020 at 23:58 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 : 40443
Unique Edges : 77088
Edges With Duplicates : 24067
Total Edges : 101155
Self-Loops : 11360
Reciprocated Vertex Pair Ratio : 0.0115520750949708
Reciprocated Edge Ratio : 0.0228402973596514
Connected Components : 5546
Single-Vertex Connected Components : 3612
Maximum Vertices in a Connected Component : 29965
Maximum Edges in a Connected Component : 87679
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 4.923243
Graph Density : 4.77012717407274E-05
Modularity : 0.635717
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 40,443 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19 - week 4) of 59301 tweet IDs, or who were replied to or mentioned in those tweets. 55141 out of 59301 tweets were collected. The network was obtained from Twitter on Wednesday, 23 September 2020 at 19:53 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 57-minute period from Tuesday, 14 April 2020 at 00:00 UTC to Monday, 20 April 2020 at 23:58 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 - covid19 - week 4
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:
[3639] social,care [3348] don,t [3020] lockdown,#covid19uk [2934] 3rd,february [2929] world,wide [2929] long,lockdown [2928] here,unseen [2928] unseen,footage [2928] footage,borisjohnson [2928] borisjohnson,3rd Top Word Pairs in Tweet in G1:
[1460] care,homes [1273] people,died [1273] died,care [1257] criminal,negligence [1252] 7,500 [1249] #covid19uk,7 [1249] 500,people [1249] homes,result [1249] result,virus [1249] virus,include Top Word Pairs in Tweet in G2:
[358] #covid19,#covid19uk [159] covid,19 [133] #coronavirusuk,#covid19uk [132] #covid19uk,#covid19 [122] #coronavirus,#covid19uk [97] #covid_19,#covid19uk [95] during,#covid19uk [92] #covid19uk,#coronavirusuk [88] #covid19uk,#coronavirus [78] don,t Top Word Pairs in Tweet in G3:
[976] protect,health [974] #covid19uk,#release2savelives [968] people,detention [968] health,communities [959] reduce,number [959] number,people [950] communities,#covid19uk [940] immediately,reduce [911] detention,settings [899] settings,protect Top Word Pairs in Tweet in G4:
[502] sunday,times [489] handling,#covid19uk [483] days,ago [474] few,days [473] ago,anyone [473] anyone,dared [473] dared,criticise [473] criticise,johnson [473] johnson,handling [473] #covid19uk,shouted Top Word Pairs in Tweet in G5:
[2389] 3rd,february [2384] here,unseen [2384] unseen,footage [2384] footage,borisjohnson [2384] borisjohnson,3rd [2384] february,stating [2384] stating,uk [2384] uk,stand [2384] stand,alone [2384] alone,against Top Word Pairs in Tweet in G6:
[2233] social,care [2220] don,t [2219] four,times [2219] #covid19uk,#c4news [2218] t,mean [2218] mean,cruel [2218] cruel,never [2218] never,ceases [2218] ceases,amaze [2218] amaze,nation Top Word Pairs in Tweet in G7:
[704] #covid19uk,#coronavirus [643] care,home [616] hospital,care [566] #carehomes,#covid19uk [563] informed,91 [563] 91,gran [563] gran,being [563] being,moved [563] moved,hospital [563] home,#covid Top Word Pairs in Tweet in G8:
[203] #covid19,#covid19uk [160] during,#coronavirus [149] healthcare,professionals [145] pregnant,women [134] professionals,during [133] updates,pregnant [133] women,healthcare [130] #covidmaternity,#covid19uk [130] rcpchtweets,dhscgovuk [118] latest,updates Top Word Pairs in Tweet in G9:
[419] badgers,take [419] take,control [419] control,#covid19uk [188] pls,help [94] due,#covid19uk [94] #covid19uk,people [94] people,walking [94] walking,dogs [94] dogs,more [94] more,see Top Word Pairs in Tweet in G10:
[136] #covid19,#covid19uk [128] bsl,video [128] video,here [120] here,#covid19 [103] #coronavirus,update [103] april,2020 [71] 2020,'the [55] #covid19uk,#stayhomesavelives [54] 'the,government [41] during,#covid19uk Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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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 G10: