The graph represents a network of 16,750 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - 21 March (incomplete)) of 17820 tweet IDs, or who were replied to or mentioned in those tweets. 16249 out of 17820 tweets were collected. The network was obtained from Twitter on Saturday, 03 October 2020 at 17:37 UTC.
The tweets in the network were tweeted over the 12-hour, 48-minute period from Saturday, 21 March 2020 at 11:11 UTC to Saturday, 21 March 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 : 16750
Unique Edges : 22211
Edges With Duplicates : 2473
Total Edges : 24684
Self-Loops : 4099
Reciprocated Vertex Pair Ratio : 0.00764866781481106
Reciprocated Edge Ratio : 0.0151812195244558
Connected Components : 3265
Single-Vertex Connected Components : 1904
Maximum Vertices in a Connected Component : 9872
Maximum Edges in a Connected Component : 16843
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 6.307502
Graph Density : 7.09082208516793E-05
Modularity : 0.815472
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 16,750 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - 21 March (incomplete)) of 17820 tweet IDs, or who were replied to or mentioned in those tweets. 16249 out of 17820 tweets were collected. The network was obtained from Twitter on Saturday, 03 October 2020 at 17:37 UTC.
The tweets in the network were tweeted over the 12-hour, 48-minute period from Saturday, 21 March 2020 at 11:11 UTC to Saturday, 21 March 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 : Tweet ID List - covid19uk - 21 March (incomplete)
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:
[1521] #covid_19,#covid19uk [1100] #coronavirus,#covid_19 [1048] love,see [1047] people,edinburgh [1047] edinburgh,singing [1047] singing,sunshine [1047] sunshine,leith [1047] leith,flats [1047] flats,everyone [1047] everyone,joining Top Word Pairs in Tweet in G1:
[162] #covid_19,#covid19uk [68] #covid19uk,#covid_19 [68] don,t [66] #coronavirus,#covid19uk [66] #coronacrisisuk,#covid19uk [62] #covid19,#covid19uk [60] social,distancing [55] #covid19uk,#covid19 [53] #covid19uk,#coronavirus [52] #covid19uk,#coronacrisisuk Top Word Pairs in Tweet in G2:
[116] #covid_19,#covid19uk [110] sky,sports [74] #covid19,#covid19uk [64] #covid19,#covid_19 [60] making,difference [55] sarah,vine [55] #coronavirusuk,#covid19uk [55] sky,letting [55] letting,customers [55] customers,suspend Top Word Pairs in Tweet in G3:
[986] people,edinburgh [986] edinburgh,singing [986] singing,sunshine [986] sunshine,leith [986] leith,flats [986] flats,everyone [986] everyone,joining [986] joining,things [986] things,love [986] love,see Top Word Pairs in Tweet in G4:
[505] #covid_19,#covid19uk [495] #covid19uk,#coronavirus [493] newly,minted [493] minted,word [493] word,english [493] english,language [493] language,covidiot [493] covidiot,#covidiot [493] #covidiot,#covid_19 [102] #coronacrisisuk,#covid19uk Top Word Pairs in Tweet in G5:
[286] #covid19uk,#edinburgh [286] #edinburgh,#hotelnews [274] offering,bedrooms [274] bedrooms,complimentary [274] complimentary,accommodation [274] accommodation,#nhs [274] #nhs,staff [274] staff,thank [274] thank,looking [274] looking,everyone Top Word Pairs in Tweet in G6:
[298] 7,hrs [298] hrs,111 [298] 111,call [298] call,released [298] released,hospi [298] hospi,cough [298] cough,short [298] short,breath [298] breath,headache [298] headache,uk Top Word Pairs in Tweet in G7:
[222] selling,toilet [122] #coronavirus,#covid19uk [115] #covid19uk,#coronavirus [112] toilet,roll [111] dj,lee [111] lee,marshall [111] marshall,dj [111] dj,known [111] known,disco [111] disco,boy Top Word Pairs in Tweet in G8:
[251] gt,#coronavirusuk [230] #coronavirusuk,#covid19uk [228] #covid19uk,#covid_19uk [225] take,action [225] action,now [191] yesterday's,announcement [191] announcement,chancellor [191] chancellor,good [191] good,enough [191] enough,government Top Word Pairs in Tweet in G9:
[77] social,care [77] care,staff [72] care,homes [72] asda,morrisons [71] morrisons,sainsburys [67] much,#covid19uk [66] enough,food [66] sainsburys,including [66] staff,special [66] special,opening Top Word Pairs in Tweet in G10:
[323] m,doctor [323] doctor,nhs [323] nhs,london [323] london,nurses [323] nurses,doctors [323] doctors,talking [323] talking,work [323] work,t [323] t,buy [323] buy,food 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 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 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: