The graph represents a network of 11,331 Twitter users whose recent tweets contained "#covidUK", 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 Monday, 12 October 2020 at 13:48 UTC.
The tweets in the network were tweeted over the 8-day, 16-hour, 56-minute period from Saturday, 03 October 2020 at 20:17 UTC to Monday, 12 October 2020 at 13:14 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 : 11331
Unique Edges : 18857
Edges With Duplicates : 2828
Total Edges : 21685
Self-Loops : 3725
Reciprocated Vertex Pair Ratio : 0.0070160957490714
Reciprocated Edge Ratio : 0.0139344262295082
Connected Components : 2293
Single-Vertex Connected Components : 1714
Maximum Vertices in a Connected Component : 7771
Maximum Edges in a Connected Component : 17399
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.85967
Graph Density : 0.000133042291636337
Modularity : 0.671228
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 11,331 Twitter users whose recent tweets contained "#covidUK", 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 Monday, 12 October 2020 at 13:48 UTC.
The tweets in the network were tweeted over the 8-day, 16-hour, 56-minute period from Saturday, 03 October 2020 at 20:17 UTC to Monday, 12 October 2020 at 13:14 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 : #covidUK
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:
[3879] per,100k [1394] #covid19,#coviduk [796] local,lockdown [787] lockdown,rules [774] tory,ministers [774] ministers,dodge [774] dodge,lockdown [774] rules,despite [774] despite,higher [774] higher,cases Top Word Pairs in Tweet in G1:
[126] #coviduk,#covid19 [99] #covid19,#coviduk [68] covid,19 [64] #covid__19,#coviduk [60] #coviduk,#covid19uk [53] don,t [38] #covid19uk,#coviduk [38] #covid_19,#coviduk [38] #coviduk,#covid_19 [36] #coviduk,#covid__19 Top Word Pairs in Tweet in G2:
[3702] per,100k [779] #covid19,#coviduk [742] lockdown,rules [740] tory,ministers [740] ministers,dodge [740] dodge,lockdown [740] rules,despite [740] despite,higher [740] higher,cases [740] cases,27 Top Word Pairs in Tweet in G3:
[202] once,again [200] again,another [200] another,graph [200] graph,showing [200] showing,schools [200] schools,one [200] one,charged [200] charged,spreading [200] spreading,environments [200] environments,#coviduk Top Word Pairs in Tweet in G4:
[382] #coviduk,#covid_19 [378] wear,mask [378] mask,times [378] times,use [378] use,clean [378] clean,glasses [378] glasses,#coviduk [113] year,groups [102] stay,home [100] point,feasible Top Word Pairs in Tweet in G5:
[602] mp,hasn [602] hasn,t [602] t,previously [602] previously,used [602] used,mask [602] mask,planning [602] planning,use [602] use,#coviduk [602] #coviduk,#parliament [602] #parliament,#covid_19 Top Word Pairs in Tweet in G6:
[220] great,barrington [220] barrington,declaration [217] okay,take [217] take,back [217] back,very [217] very,big [217] big,names [217] names,signed [217] signed,great [217] declaration,#coviduk Top Word Pairs in Tweet in G7:
[211] ways,#covid19 [211] #covid19,different [211] different,flu [211] flu,make [211] make,unemployed [211] unemployed,destroy [211] destroy,business [211] business,remove [211] remove,civil [211] civil,liberties Top Word Pairs in Tweet in G8:
[69] haven,t [69] t,noticed [69] noticed,now [69] now,#tory [69] #tory,government [69] government,utilising [69] utilising,pandemic [69] pandemic,expense [69] expense,people [69] people,s Top Word Pairs in Tweet in G9:
[75] complete,failure [75] sums,up [75] up,perfectly [75] perfectly,exactly [75] exactly,now [75] now,#coviduk [75] #coviduk,shambles [74] #bbcqt,question [74] question,money [74] money,question Top Word Pairs in Tweet in G10:
[14] don,t [13] #covid19,#coviduk [11] #coviduk,#covid19 [9] covid,19 [9] #covid__19,#coviduk [9] 24,hours [8] next,week [8] nicolasturgeon,thesnp [8] #covid_19,#coviduk [7] well,garden Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G5:
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 G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G9:
Top Tweeters in G10: