The graph represents a network of 16,044 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 until:2020-03-27", 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 Friday, 27 March 2020 at 12:18 UTC.
The tweets in the network were tweeted over the 5-day, 10-hour, 15-minute period from Saturday, 21 March 2020 at 13:39 UTC to Thursday, 26 March 2020 at 23:55 UTC.
Adds to previous map with COVID-19 related search terms: http://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=223838
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 : 29944
Unique Edges : 37451
Edges With Duplicates : 9819
Total Edges : 47270
Self-Loops : 9094
Reciprocated Vertex Pair Ratio : 0.00333976333746005
Reciprocated Edge Ratio : 0.00665729289219203
Connected Components : 4951
Single-Vertex Connected Components : 3151
Maximum Vertices in a Connected Component : 20146
Maximum Edges in a Connected Component : 35582
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 5.822946
Graph Density : 3.88673737024382E-05
Modularity : 0.715616
NodeXL Version : 1.0.1.428
Data Import : The graph represents a network of 16,044 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 until:2020-03-27", 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 Friday, 27 March 2020 at 12:18 UTC.
The tweets in the network were tweeted over the 5-day, 10-hour, 15-minute period from Saturday, 21 March 2020 at 13:39 UTC to Thursday, 26 March 2020 at 23:55 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 until:2020-03-27
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:
[5285] #coronavirusuk,#covid19uk [4550] #coronavirus,#covid19uk [3618] #covid19,#covid19uk [3452] covid,19 [3184] herd,immunity [2962] #covid19uk,#coronavirus [2959] hasn,t [2943] more,quickly [2942] #bbc,#coronavirusuk [2941] laura,kuenssberg Top Word Pairs in Tweet in G1:
[602] #covid19,#covid19uk [362] #covid19uk,#coronavirus [360] #coronavirus,#covid19uk [326] #coronavirusuk,#covid19uk [280] covid,19 [263] #covid2019,#covid19uk [262] #covidー19,#covid19uk [251] #covid19uk,#coronavirusuk [222] #covid19uk,#covid19 [113] #coronavirus,#covid19 Top Word Pairs in Tweet in G2:
[2554] #coronavirusuk,#covid19uk [2515] herd,immunity [2501] laura,kuenssberg [2501] kuenssberg,situation [2501] situation,escalated [2501] escalated,more [2501] more,quickly [2501] quickly,predicted [2501] predicted,hasn [2501] hasn,t Top Word Pairs in Tweet in G3:
[489] #coronavirusuk,#covid19uk [462] #covid19,#covid19uk [323] #coronavirus,#covid19uk [322] #covid19uk,#covid19 [294] positivity,rate [237] #covid19uk,#coronavirus [230] #covid19uk,#coronavirusuk [176] confirmed,fatalities [146] test,amounts [143] covid,19 Top Word Pairs in Tweet in G4:
[631] priti,patel [627] patel,lobbying [627] lobbying,close [627] close,uk [627] uk,borders [627] borders,prevent [627] prevent,thousands [627] thousands,passengers [627] passengers,#coronavirus [627] #coronavirus,hotspot Top Word Pairs in Tweet in G5:
[918] #covid19uk,#covid19 [901] #coronavirus,#covid19uk [891] uk,company [891] protective,equipment [890] 6,3 [890] 3,today [890] today,vicderbyshire [890] vicderbyshire,spoke [890] spoke,director [890] director,uk Top Word Pairs in Tweet in G6:
[189] covid,19 [125] #coronavirusuk,#covid19uk [120] #coronavirus,#covid19uk [93] 4,raasay [86] 1,4 [86] raasay,echoes [86] echoes,calls [86] calls,rural [86] rural,communities [86] communities,ministers Top Word Pairs in Tweet in G7:
[317] #covid2019,#covid19uk [311] thinking,day [311] day,mrs [311] mrs,thatcher [311] thatcher,done [311] done,happened [311] happened,under [311] under,watch [311] watch,epic [311] epic,graffiti Top Word Pairs in Tweet in G8:
[731] covid,19 [723] stay,home [707] emergency,covid [707] 19,alert [707] home,protect [707] nhs,save [707] save,lives [707] #london,#covid19uk [690] protect,nhs [587] alert,now Top Word Pairs in Tweet in G9:
[413] covid,19 [182] protective,equipment [133] #assange,#wikileaks [133] #wikileaks,#covid19uk [132] sick,pay [120] equipment,sick [120] medical,couriers [118] high,risk [113] #covid19uk,#coronaviruspandemic [112] dare,agree Top Word Pairs in Tweet in G10:
[280] #coronavirus,#covid19uk [162] #c4news,#newsnight [133] #covid19uk,#coronavirusuk [119] #covid19,#covid19uk [111] #covid19,#coronavirus [109] #covid19uk,#coronavirus [108] self,employed [105] #newsnight,#skynews [105] #skynews,#skypapers [105] #skypapers,lbc Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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 G9:
Top Mentioned in G10: