The graph represents a network of 9,617 Twitter users whose recent tweets contained "(#coronavirus OR #coronacrisis OR #coronavirusupdate OR #coronavirusuk OR #covid2019 OR #coronaviruspandemic) #COVID19UK -#COVIDー19 -#Covid_19 -#COVID-19 -#COVID19 since:2020-03-20", 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 19:55 UTC.
The tweets in the network were tweeted over the 1-day, 19-hour, 41-minute period from Friday, 20 March 2020 at 00:00 UTC to Saturday, 21 March 2020 at 19:41 UTC.
It adds to a previous map that looked at COVID-19 related terms: http://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=223392.
I have removed the section "Top Tweeters in Entire Graph" as this does not work correctly for combined maps.
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 : 26142
Unique Edges : 30849
Edges With Duplicates : 4552
Total Edges : 35401
Self-Loops : 5588
Reciprocated Vertex Pair Ratio : 0.00235957034689206
Reciprocated Edge Ratio : 0.00470803176164711
Connected Components : 3728
Single-Vertex Connected Components : 2172
Maximum Vertices in a Connected Component : 17999
Maximum Edges in a Connected Component : 25875
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.441061
Graph Density : 4.1648983554815E-05
Modularity : 0.793383
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 9,617 Twitter users whose recent tweets contained "(#coronavirus OR #coronacrisis OR #coronavirusupdate OR #coronavirusuk OR #covid2019 OR #coronaviruspandemic) #COVID19UK -#COVIDー19 -#Covid_19 -#COVID-19 -#COVID19 since:2020-03-20", 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 19:55 UTC.
The tweets in the network were tweeted over the 1-day, 19-hour, 41-minute period from Friday, 20 March 2020 at 00:00 UTC to Saturday, 21 March 2020 at 19:41 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 : (#coronavirus OR #coronacrisis OR #coronavirusupdate OR #coronavirusuk OR #covid2019 OR #coronaviruspandemic) #COVID19UK -#COVIDー19 -#Covid_19 -#COVID-19 -#COVID19 since:2020-03-20
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 [3578] #covid19uk,#coronavirus [2948] toilet,roll [2442] selling,toilet [2343] #coronavirus,#covid_19 [2267] love,see [2265] people,edinburgh [2265] edinburgh,singing [2265] singing,sunshine [2265] sunshine,leith Top Word Pairs in Tweet in G1:
[384] #covid19,#covid19uk [262] #coronavirus,#covid19uk [261] #covid_19,#covid19uk [259] #covid19uk,#coronavirus [164] #covid19uk,#covid19 [157] #covid19uk,#coronavirusuk [155] #coronavirusuk,#covid19uk [145] covid,19 [136] #covid19uk,#covid_19 [122] #coronacrisis,#covid19uk Top Word Pairs in Tweet in G2:
[2123] #coronavirus,#covid_19 [2122] people,edinburgh [2122] edinburgh,singing [2122] singing,sunshine [2122] sunshine,leith [2122] leith,flats [2122] flats,everyone [2122] everyone,joining [2122] joining,things [2122] things,love Top Word Pairs in Tweet in G3:
[456] #covid19,#covid19uk [270] #covid19uk,#coronavirus [196] #covid19uk,#covid19 [176] #covid19uk,#covid2019 [174] #covid2019,#coronavirus [173] #covid_19,#covid19uk [172] #coronavirus,#coronavirusoutbreak [170] ant,middleton [170] middleton,explorer [170] explorer,adventurer Top Word Pairs in Tweet in G4:
[1776] #coronacrisis,#covid19 [1776] #covid19,#covid19uk [1775] #covid19uk,people [1775] people,still [1775] still,going [1775] going,restaurants [1775] restaurants,pubs [1775] pubs,clubs [1775] clubs,gyms [1775] gyms,show Top Word Pairs in Tweet in G5:
[2256] selling,toilet [1308] #covid19uk,#coronavirus [1279] toilet,roll [1128] dj,lee [1128] lee,marshall [1128] marshall,dj [1128] dj,known [1128] known,disco [1128] disco,boy [1128] boy,made Top Word Pairs in Tweet in G6:
[1474] toilet,roll [1411] making,money [1411] money,selling [1411] selling,baby [1411] baby,milk [1411] milk,medicine [1411] medicine,toilet [1411] roll,food [1411] food,ridiculously [1411] ridiculously,inflated Top Word Pairs in Tweet in G7:
[246] #covid19uk,#edinburgh [246] #edinburgh,#hotelnews [233] offering,bedrooms [233] bedrooms,complimentary [233] complimentary,accommodation [233] accommodation,#nhs [233] #nhs,staff [233] staff,thank [233] thank,looking [233] looking,everyone Top Word Pairs in Tweet in G8:
[317] free,school [317] school,meals [317] longer,attending [317] attending,school [281] read,more [279] more,#covid19uk [278] whose,children [276] low,income [276] income,families [276] families,whose Top Word Pairs in Tweet in G9:
[374] grave,stats [374] stats,italy [374] italy,today [374] today,17 [374] 17,doctors [374] doctors,passing [374] passing,away [374] away,3500 [374] 3500,medical [374] medical,staff Top Word Pairs in Tweet in G10:
[141] share,far [141] far,wide [141] #covid19uk,#covid_19 [139] dear,please [139] please,share [139] wide,document [139] document,labour [139] labour,love [139] love,care [139] care,much 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 Replied-To in G10:
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 Mentioned in G10: