The graph represents a network of 55,688 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - week 7) of 78915 tweet IDs, or who were replied to or mentioned in those tweets. 72761 out of 78915 tweets were collected. The network was obtained from Twitter on Friday, 25 September 2020 at 20:37 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 56-minute period from Tuesday, 05 May 2020 at 00:03 UTC to Monday, 11 May 2020 at 23:59 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.
Download the full data here: https://www.dropbox.com/s/qd7wlf4y6lsymsk/NodeXL week 7.xlsx?dl=0 (copy link into browser)
Author Description
Vertices : 55688
Unique Edges : 85406
Edges With Duplicates : 19685
Total Edges : 105091
Self-Loops : 14653
Reciprocated Vertex Pair Ratio : 0.0103159567316507
Reciprocated Edge Ratio : 0.0204212487448433
Connected Components : 7075
Single-Vertex Connected Components : 5074
Maximum Vertices in a Connected Component : 43613
Maximum Edges in a Connected Component : 89277
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 4.35773
Graph Density : 2.66547555637506E-05
Modularity : 0.652559
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 55,688 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - week 7) of 78915 tweet IDs, or who were replied to or mentioned in those tweets. 72761 out of 78915 tweets were collected. The network was obtained from Twitter on Friday, 25 September 2020 at 20:37 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 56-minute period from Tuesday, 05 May 2020 at 00:03 UTC to Monday, 11 May 2020 at 23:59 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 7
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:
[14697] #covid19uk,#borisresign [14670] shocking,#covid19uk [14669] difference,shocking [14668] #borisresign,#jacindaardern [6072] #covid19,#covid19uk [1701] #borisspeech,#covid19 [1696] brass,eye [1696] eye,#borisspeech [1694] feel,living [1694] living,episode Top Word Pairs in Tweet in G1:
[13735] difference,shocking [13735] shocking,#covid19uk [13735] #covid19uk,#borisresign [13735] #borisresign,#jacindaardern [50] big,companies [50] companies,taxpayer [50] taxpayer,bailouts [50] bailouts,forced [50] forced,cancel [50] cancel,executive Top Word Pairs in Tweet in G2:
[979] #covid19,#covid19uk [693] care,homes [682] #coronavirusuk,#covid19uk [641] #covid19uk,#coronavirusuk [465] government,#covid19uk [438] boris,johnson [433] public,inquiry [414] protective,equipment [409] death,toll [407] utterly,brazen Top Word Pairs in Tweet in G3:
[486] #covid19,#covid19uk [195] #covid19uk,#covid19 [186] covid,19 [168] #coronavirus,#covid19uk [156] don,t [152] #covidiots,#covid19uk [149] #covid19uk,#coronavirus [146] #coronavirusuk,#covid19uk [136] stay,alert [128] #covid19uk,#coronavirusuk Top Word Pairs in Tweet in G4:
[533] crisis,#covid19uk [526] raab,bbcr4today [526] contradicts,himself [526] country,out [525] total,car [525] car,crash [525] crash,interview [525] interview,raab [525] bbcr4today,contradicts [525] contradicts,johnson Top Word Pairs in Tweet in G5:
[1528] #covid19,#covid19uk [1519] feel,living [1519] living,episode [1519] episode,brass [1519] brass,eye [1519] eye,#borisspeech [1519] #borisspeech,#covid19 [54] g,efa [52] #covid19uk,imagine [52] imagine,headline Top Word Pairs in Tweet in G6:
[1234] #covid19,#covid19uk [1197] personal,first [1197] first,hand [1197] hand,experience [1197] experience,covid19 [1197] covid19,testing [1197] testing,uk [1197] uk,regional [1197] regional,test [1197] test,site Top Word Pairs in Tweet in G7:
[108] #london,#lovelondon [104] ask,mp [101] #covid19uk,#london [99] john,s [99] s,#uk [99] #uk,#coronavirus [99] #coronavirus,#diary [92] #lovelondon,#uksopro [92] #uksopro,#edfringe [92] #edfringe,#edinburgh Top Word Pairs in Tweet in G8:
[714] health,secretary [711] number,deaths [710] dear,health [710] secretary,180 [710] 180,nhs [710] nhs,staff [710] staff,died [710] died,highest [710] highest,number [710] deaths,europe Top Word Pairs in Tweet in G9:
[193] uk,#covid19uk [186] primary,care [179] bbcr4,regional [179] regional,director [179] director,europe [179] europe,dr [179] dr,hans [179] hans,kluger [179] kluger,countries [179] countries,managed Top Word Pairs in Tweet in G10:
[830] #covid19,#coronavirus [829] #covid19uk,#covidiot [827] taking,britain [827] britain,back [827] back,#borisjohnsoncoronavirus [827] #borisjohnsoncoronavirus,#covid19uk [827] #covidiot,#covid19 [827] #coronavirus,#coronavirusuk [827] #coronavirusuk,#borishasfailed [827] #borishasfailed,#tories 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:
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: