The graph represents a network of 14,243 Twitter users whose recent tweets were included in a list (Tweet ID List - COVID19UK week 17) of 19306 tweet IDs, or who were replied to or mentioned in those tweets. 18725 out of 19306 tweets were collected. The network was obtained from Twitter on Thursday, 23 July 2020 at 09:56 UTC.
The tweets in the network were tweeted over the 6-day, 22-hour, 57-minute period from Monday, 13 July 2020 at 23:59 UTC to Monday, 20 July 2020 at 22:56 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 : 14243
Unique Edges : 23559
Edges With Duplicates : 8688
Total Edges : 32247
Self-Loops : 3208
Reciprocated Vertex Pair Ratio : 0.0100215036312736
Reciprocated Edge Ratio : 0.019844139149996
Connected Components : 1547
Single-Vertex Connected Components : 926
Maximum Vertices in a Connected Component : 11011
Maximum Edges in a Connected Component : 27844
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 4.271317
Graph Density : 0.000122721944934692
Modularity : 0.617071
NodeXL Version : 1.0.1.438
Data Import : The graph represents a network of 14,243 Twitter users whose recent tweets were included in a list (Tweet ID List - COVID19UK week 17) of 19306 tweet IDs, or who were replied to or mentioned in those tweets. 18725 out of 19306 tweets were collected. The network was obtained from Twitter on Thursday, 23 July 2020 at 09:56 UTC.
The tweets in the network were tweeted over the 6-day, 22-hour, 57-minute period from Monday, 13 July 2020 at 23:59 UTC to Monday, 20 July 2020 at 22:56 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 week 17
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:
[1446] covid,19 [1404] #covid19,#covid19uk [1358] next,week [1334] return,work [1322] holiday,#covid19uk [1321] tomorrow,borisjohnson [1321] borisjohnson,tell [1321] tell,return [1321] work,speech [1321] speech,take Top Word Pairs in Tweet in G1:
[1203] next,week [1197] return,work [1196] tomorrow,borisjohnson [1196] borisjohnson,tell [1196] tell,return [1196] work,speech [1196] speech,take [1196] take,weekend [1196] weekend,allow [1196] allow,houseofcommons Top Word Pairs in Tweet in G2:
[404] borisjohnson,matthancock [403] pay,rise [230] rise,deserve [226] deserve,#covid19uk [207] s,time [206] time,government [205] nhs,heroes [175] #nhs,heroes [160] #covid19,#covid19uk [153] rise,nhs Top Word Pairs in Tweet in G3:
[517] told,leaving [517] leaving,eu [517] eu,cutting [517] cutting,red [517] red,tape [517] tape,tory [517] tory,#brexit [517] #brexit,tax [517] tax,cost [517] cost,u Top Word Pairs in Tweet in G4:
[635] #covid19uk,#plandemic [211] #covid19uk,scandal [211] scandal,seems [211] seems,gov't [211] gov't,longer [211] longer,hide [211] hide,counting [211] counting,scores [211] scores,people [211] people,who've Top Word Pairs in Tweet in G5:
[119] #covid19,#covid19uk [70] covid,19 [47] #covid19uk,#coronavirus [46] #coronavirus,#covid19 [42] #coronavirusuk,#covid19uk [40] #covid19uk,#covid19 [31] wear,mask [30] #coronavirusuk,#coronavirus [29] #coronavirus,#covid19uk [27] face,masks Top Word Pairs in Tweet in G6:
[480] #covid19uk,#dailybriefing [459] 138,deaths [459] deaths,today [459] today,28 [459] 28,hospital [459] hospital,110 [459] 110,non [459] non,hospital [459] hospital,settings [459] settings,tested Top Word Pairs in Tweet in G7:
[518] new,#banksy [518] london,underground [516] #streetart,#covid19uk [516] #covid19uk,#wearamask [515] something,new [515] #banksy,london [515] underground,#streetart [3] one,new [3] #banksy,artworks [3] artworks,spray Top Word Pairs in Tweet in G8:
[882] #covid19,#covid19uk [876] covid,19 [872] coronavirus,covid [872] #corona,#covid19 [580] daily,coronavirus [580] 19,report [580] report,#coronavirus [486] united,kingdom [486] #coronavirus,#uk [486] #uk,#corona Top Word Pairs in Tweet in G9:
[176] racial,inequalities [109] bme,groups [104] s,being [104] being,different [104] different,race [104] race,put [104] put,black [104] black,minority [104] minority,ethnic [104] ethnic,people Top Word Pairs in Tweet in G10:
[191] primates,imported [191] imported,uk [191] uk,lab [191] lab,experiments [191] experiments,'triple [191] 'triple,year [191] year,6 [191] 6,752' [191] 752',awful [191] awful,thank Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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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:
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Top Mentioned in G6:
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Top Mentioned in G9:
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 G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: