The graph represents a network of 17,634 Twitter users whose recent tweets contained "(#COVIDー19 OR #Covid_19 OR #COVID-19 OR #COVID19) #COVID19UK", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 21 March 2020 at 17:25 UTC.
The tweets in the network were tweeted over the 1-day, 18-hour, 34-minute period from Thursday, 19 March 2020 at 22:06 UTC to Saturday, 21 March 2020 at 16:41 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 : 17634
Unique Edges : 20262
Edges With Duplicates : 2378
Total Edges : 22640
Self-Loops : 3374
Reciprocated Vertex Pair Ratio : 0.00139807495832661
Reciprocated Edge Ratio : 0.00279224614723729
Connected Components : 2426
Single-Vertex Connected Components : 1374
Maximum Vertices in a Connected Component : 12029
Maximum Edges in a Connected Component : 16326
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.35855
Graph Density : 5.98925217553483E-05
Modularity : 0.815616
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 17,634 Twitter users whose recent tweets contained "(#COVIDー19 OR #Covid_19 OR #COVID-19 OR #COVID19) #COVID19UK", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 21 March 2020 at 17:25 UTC.
The tweets in the network were tweeted over the 1-day, 18-hour, 34-minute period from Thursday, 19 March 2020 at 22:06 UTC to Saturday, 21 March 2020 at 16:41 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 : TwitterSearch
Graph Term : (#COVIDー19 OR #Covid_19 OR #COVID-19 OR #COVID19) #COVID19UK
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:
[4856] #covid19,#covid19uk [2343] #coronavirus,#covid_19 [2267] love,see [2265] people,edinburgh [2265] edinburgh,singing [2265] singing,sunshine [2265] sunshine,leith [2265] leith,flats [2265] flats,everyone [2265] everyone,joining Top Word Pairs in Tweet in G1:
[2181] #coronavirus,#covid_19 [2180] people,edinburgh [2180] edinburgh,singing [2180] singing,sunshine [2180] sunshine,leith [2180] leith,flats [2180] flats,everyone [2180] everyone,joining [2180] joining,things [2180] things,love Top Word Pairs in Tweet in G2:
[1798] #covid19,#covid19uk [1795] #coronacrisis,#covid19 [1794] #covid19uk,people [1794] people,still [1794] still,going [1794] going,restaurants [1794] restaurants,pubs [1794] pubs,clubs [1794] clubs,gyms [1794] gyms,show Top Word Pairs in Tweet in G3:
[1451] toilet,roll [1440] making,money [1440] money,selling [1440] selling,baby [1440] baby,milk [1440] milk,medicine [1440] medicine,toilet [1440] roll,food [1440] food,ridiculously [1440] ridiculously,inflated Top Word Pairs in Tweet in G4:
[387] #covid19,#covid19uk [271] #covid_19,#covid19uk [171] #covid19uk,#covid19 [154] covid,19 [138] #covid19uk,#covid_19 [103] #covid19uk,#coronavirus [91] #coronavirus,#covid19uk [91] #coronavirus,#covid19 [59] #covid19uk,#coronavirusuk [51] #coronacrisis,#covid_19 Top Word Pairs in Tweet in G5:
[540] #covid19,#covid19uk [177] #covid19uk,#coronavirus [174] #covid19uk,#covid19 [173] #coronavirus,#coronavirusoutbreak [171] ant,middleton [171] middleton,explorer [171] explorer,adventurer [171] adventurer,complete [171] complete,utter [171] utter,moron Top Word Pairs in Tweet in G6:
[99] #covid19,#covid19uk [44] #covid19uk,#covid19 [42] covid,19 [30] #covid_19,#covid19uk [30] against,#covid19uk [29] good,see [29] see,#keyworker [29] #keyworker,list [29] list,released [29] released,vital Top Word Pairs in Tweet in G7:
[253] #covid19uk,#edinburgh [253] #edinburgh,#hotelnews [238] offering,bedrooms [238] bedrooms,complimentary [238] complimentary,accommodation [238] accommodation,#nhs [238] #nhs,staff [238] staff,thank [238] thank,looking [238] looking,everyone Top Word Pairs in Tweet in G8:
[165] #covid19uk,#covid19 [107] #covid19,#coronavirusupdate [99] calling,bullsh [99] bullsh,t [99] t,claim [99] claim,true [99] true,emergency [99] emergency,#coronavirus [99] #coronavirus,legislation [99] legislation,want Top Word Pairs in Tweet in G9:
[316] #covid19,#covid19on [316] #covid19on,#covid19uk [316] #covid19uk,#coronavirus [316] #coronavirus,#coronavirusupdate [316] #coronavirusupdate,#covid19us [316] #covid19us,#coronaviruschallenge [315] think,watch [315] watch,contagion [315] contagion,again [315] again,#covid19 Top Word Pairs in Tweet in G10:
[147] share,far [147] far,wide [147] #covid19uk,#covid_19 [145] dear,please [145] please,share [145] wide,document [145] document,labour [145] labour,love [145] love,care [145] care,much Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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:
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Top Mentioned in G5:
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Top Mentioned in G7:
Top Mentioned in G8:
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: