The graph represents a network of 9,191 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk week 18) of 11152 tweet IDs, or who were replied to or mentioned in those tweets. 10791 out of 11152 tweets were collected. The network was obtained from Twitter on Saturday, 01 August 2020 at 13:16 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 6-minute period from Tuesday, 21 July 2020 at 00:09 UTC to Monday, 27 July 2020 at 23:15 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 : 9191
Unique Edges : 12368
Edges With Duplicates : 3495
Total Edges : 15863
Self-Loops : 2373
Reciprocated Vertex Pair Ratio : 0.0159187129551228
Reciprocated Edge Ratio : 0.031338556426071
Connected Components : 1409
Single-Vertex Connected Components : 816
Maximum Vertices in a Connected Component : 6084
Maximum Edges in a Connected Component : 11550
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.862511
Graph Density : 0.00014204651401777
Modularity : 0.70289
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 9,191 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk week 18) of 11152 tweet IDs, or who were replied to or mentioned in those tweets. 10791 out of 11152 tweets were collected. The network was obtained from Twitter on Saturday, 01 August 2020 at 13:16 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 6-minute period from Tuesday, 21 July 2020 at 00:09 UTC to Monday, 27 July 2020 at 23:15 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 18
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:
[1269] #covid19uk,#coronavirus [1203] face,mask [1202] wearing,face [1190] save,lives [1181] lives,#covid19uk [1171] anyone,complaining [1171] complaining,wearing [1171] mask,tomorrow [1171] tomorrow,worn [1171] worn,one Top Word Pairs in Tweet in G1:
[1083] anyone,complaining [1083] complaining,wearing [1083] wearing,face [1083] face,mask [1083] mask,tomorrow [1083] tomorrow,worn [1083] worn,one [1083] one,12 [1083] 12,hours [1083] hours,solid Top Word Pairs in Tweet in G2:
[248] #spainquarantine,#covid19uk [240] conservatives,mps [239] large,number [239] number,conservatives [239] mps,happy [239] happy,today [239] today,constituents [239] constituents,inundating [239] inundating,cancelled [239] cancelled,holidays Top Word Pairs in Tweet in G3:
[90] #covid19,#covid19uk [55] yes,yes [42] covid,19 [33] #covid19uk,#covid19 [33] #coronavirusuk,#covid19uk [31] #coronavirus,#covid19 [29] #coronavirusuk,#coronavirus [29] #coronavirus,#covid19uk [27] #covid19uk,#coronavirusuk [24] #covid19uk,#coronavirus Top Word Pairs in Tweet in G4:
[127] 000,dead [126] long,term [125] shocking,comments [125] comments,uk [125] uk,45 [125] 45,000 [125] dead,thousands [125] thousands,long [125] term,sick [125] sick,thousands Top Word Pairs in Tweet in G5:
[584] #covid19uk,#kbf [516] #kbf,#nomasks [355] #nomasks,#covidhoax [309] vote,drag [309] drag,little [309] little,runt [309] runt,out [309] out,office [309] office,#covid19uk [244] #covid19uk,#plandemic Top Word Pairs in Tweet in G6:
[493] #covid19uk,exposing [483] bme,groups [480] colour,money [475] report,colour [475] money,april [475] april,2020 [475] 2020,highlights [475] highlights,black [475] black,african [475] african,bangladeshi Top Word Pairs in Tweet in G7:
[661] covid,19 [661] #covid19,#covid19uk [657] coronavirus,covid [657] #corona,#covid19 [539] daily,coronavirus [539] 19,report [539] report,#coronavirus [286] united,kingdom [286] kingdom,daily [286] #coronavirus,#uk Top Word Pairs in Tweet in G8:
[90] heres,thought [90] thought,need [90] need,vaccinated [90] vaccinated,against [90] against,virus [90] virus,99 [90] 99,98 [90] 98,recovery [90] recovery,rate [90] rate,#nomasks Top Word Pairs in Tweet in G9:
[171] #covid19uk,#coronavirusuk [145] local,authority [120] glasgow,city [75] page,updated [73] authority,data [60] okay,finally [60] finally,local [60] data,nice [60] nice,see [60] see,scotland Top Word Pairs in Tweet in G10:
[50] #covid19,#covid19uk [27] impact,monitor [27] uk,gov [26] economic,impact [23] new,edition [23] monitor,out [23] out,now [17] edition,#westmidlands [17] #westmidlands,economic [17] now,bringing 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:
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Top Mentioned in G5:
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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 G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: