Imported from a TAGS search for the following term: "covid19 OR covid OR corona OR coronavirus OR coronavirusuk OR #COVIDー19 OR #covid_19 -covid19uk geocode:54.922332,-2.471436,800km"
"ー" is Chōonpu character rather than hyphen
The graph represents a network of 32,512 Twitter users whose recent tweets were included in a list (Tweet ID List - covid related terms - UK geocoded) of 36552 tweet IDs, or who were replied to or mentioned in those tweets. 35962 out of 36552 tweets were collected. The network was obtained from Twitter on Sunday, 04 April 2021 at 18:33 UTC.
The tweets in the network were tweeted over the 5-hour, 59-minute period from Friday, 02 April 2021 at 07:00 UTC to Friday, 02 April 2021 at 12:59 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 : 32512
Unique Edges : 44718
Edges With Duplicates : 9432
Total Edges : 54150
Self-Loops : 7606
Reciprocated Vertex Pair Ratio : 0.00921288859491638
Reciprocated Edge Ratio : 0.0182575722110388
Connected Components : 5406
Single-Vertex Connected Components : 2759
Maximum Vertices in a Connected Component : 20725
Maximum Edges in a Connected Component : 40636
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 5.680087
Graph Density : 4.04182551659681E-05
Modularity : 0.723959
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 32,512 Twitter users whose recent tweets were included in a list (Tweet ID List - covid related terms - UK geocoded) of 36552 tweet IDs, or who were replied to or mentioned in those tweets. 35962 out of 36552 tweets were collected. The network was obtained from Twitter on Sunday, 04 April 2021 at 18:33 UTC.
The tweets in the network were tweeted over the 5-hour, 59-minute period from Friday, 02 April 2021 at 07:00 UTC to Friday, 02 April 2021 at 12:59 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 - covid related terms - UK geocoded
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:
[6132] covid,19 [1429] vaccine,passports [1364] covid,passports [1343] please,stay [1333] 70,mps [1207] covid,passes [1127] cross,party [1012] discriminatory,covid [947] long,covid [922] chris,whitty Top Word Pairs in Tweet in G1:
[1141] 70,mps [1124] covid,passes [962] cross,party [942] discriminatory,covid [804] vaccine,passports [783] party,campaign [782] divisive,discriminatory [778] breaking,ve [778] ve,launched [778] launched,cross Top Word Pairs in Tweet in G2:
[418] nhs,nurse [418] nurse,covid [418] covid,frontline [418] left,20 [418] 20,week [410] universal,credit [410] think,acceptable [409] appalling,matthancock [409] matthancock,nhs [409] frontline,left Top Word Pairs in Tweet in G3:
[643] covid,19 [139] covid,passports [98] covid,vaccine [80] 19,vaccine [58] find,out [52] vaccine,passports [47] don,t [45] good,friday [44] due,covid [44] 19,pandemic Top Word Pairs in Tweet in G4:
[1162] please,stay [597] opening,monday [589] out,lockdown [585] cautious,though [585] covid,still [584] stay,home [584] stay,local [583] council,area [582] essential,reasons [581] first,big Top Word Pairs in Tweet in G5:
[777] hold,inquiry [777] inquiry,covid [777] model,countries [775] s,clear [775] clear,government [775] government,finally [775] finally,agrees [775] agrees,hold [775] covid,find [775] find,covid Top Word Pairs in Tweet in G6:
[426] covid,19 [106] find,out [106] out,more [105] 19,vaccine [93] 19,symptoms [91] twice,week [90] parents,support [90] support,bubbles [90] bubbles,school [90] school,children Top Word Pairs in Tweet in G7:
[111] covid,19 [55] another,pandemic [55] pandemic,under [55] under,noses [55] noses,kills [55] kills,8 [55] 8,7m [55] 7m,people [55] people,year [55] year,rebecca Top Word Pairs in Tweet in G8:
[248] covid,19 [101] américa,latina [87] variantes,coronavirus [87] coronavirus,qué [87] qué,escasa [87] escasa,vigilancia [87] vigilancia,virus [87] virus,américa [87] latina,convertirse [87] convertirse,problema Top Word Pairs in Tweet in G9:
[80] covid,19 [44] quarantine,come [32] covid,cases [26] rapid,testing [25] total,covid [25] deaths,quarantine [19] according,irish [19] irish,govt [19] govt,quarantine [19] come,wallis Top Word Pairs in Tweet in G10:
[109] covid,19 [66] 1,gt [66] gt,2 [66] 2,gt [66] gt,1 [44] shitty,societies [23] new,cases [23] covid,uk [22] s,estimated [22] #covid19,tweet Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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