The graph represents a network of 31,373 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - week 32) of 42321 tweet IDs, or who were replied to or mentioned in those tweets. 40704 out of 42321 tweets were collected. The network was obtained from Twitter on Thursday, 05 November 2020 at 09:02 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 54-minute period from Tuesday, 27 October 2020 at 00:02 UTC to Monday, 02 November 2020 at 23:56 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 : 31373
Unique Edges : 45420
Edges With Duplicates : 14586
Total Edges : 60006
Self-Loops : 12342
Reciprocated Vertex Pair Ratio : 0.00804482114638701
Reciprocated Edge Ratio : 0.0159612369958672
Connected Components : 6711
Single-Vertex Connected Components : 5139
Maximum Vertices in a Connected Component : 21086
Maximum Edges in a Connected Component : 46485
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 4.977209
Graph Density : 4.27764235308345E-05
Modularity : 0.618046
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 31,373 Twitter users whose recent tweets were included in a list (Tweet ID List - covid19uk - week 32) of 42321 tweet IDs, or who were replied to or mentioned in those tweets. 40704 out of 42321 tweets were collected. The network was obtained from Twitter on Thursday, 05 November 2020 at 09:02 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 54-minute period from Tuesday, 27 October 2020 at 00:02 UTC to Monday, 02 November 2020 at 23:56 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 32
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:
[1998] nightingale,hospitals [1993] over,20 [1972] #brexitreality,#covid19uk [1970] everyone,stop [1970] medical,staff [1969] uk,know [1968] 20,000 [1968] #covid19uk,#nightingale [1967] stop,banging [1967] left,uk Top Word Pairs in Tweet in G1:
[389] #covid19,#covid19uk [341] #covid19uk,#covid19 [268] #lockdown2,#covid19uk [248] #covid19uk,#lockdown2 [210] covid,19 [147] #covidiots,#covid19uk [139] don,t [126] #covid19uk,#coronavirus [122] national,lockdown [117] #lockdown,#covid19uk Top Word Pairs in Tweet in G2:
[876] #closetheschools,#covid19uk [754] close,schools [747] children,out [747] retweet,agree [746] #covid19uk,#toryshambles [744] borisjohnson,close [743] out,ourselves [742] schools,protect [742] protect,children [742] children,educational Top Word Pairs in Tweet in G3:
[498] weeks,ago [455] johnson,s [442] circuit,breaker [438] next,week [436] #covid19uk,lockdown [435] two,weeks [434] one,more [432] another,national [431] s,rejection [431] rejection,keir_starmer Top Word Pairs in Tweet in G4:
[1512] everyone,stop [1512] stop,banging [1512] banging,using [1512] using,nightingale [1512] nightingale,hospitals [1512] hospitals,staff [1512] over,20 [1512] 20,000 [1512] 000,eu [1512] eu,medical Top Word Pairs in Tweet in G5:
[533] please,retweet [509] retweet,voting [470] national,lockdown [470] #coronavirus,#covid19uk [457] second,national [457] #lockdown,#nationallockdown [456] voting,think [456] think,gone [456] gone,second [456] lockdown,#lockdown Top Word Pairs in Tweet in G6:
[629] out,help [629] help,out [627] eat,out [623] children,#covid19uk [621] brilliant,ideas [621] ideas,eat [621] out,cost [621] cost,500m [621] 500m,feeds [621] feeds,people Top Word Pairs in Tweet in G7:
[220] high,streets [126] national,lockdown [113] waking,up [110] up,south [110] south,london [110] london,everyone [110] everyone,head [110] head,local [110] local,high [110] streets,tell Top Word Pairs in Tweet in G8:
[572] #covid19uk,#covidiots [571] #lockdown2,#lockdownuk [570] during,first [570] first,wave [570] #borisjohnson,#covid19uk [569] before,anyone [569] anyone,even [569] even,thinks [569] thinks,stockpiling [569] stockpiling,look Top Word Pairs in Tweet in G9:
[90] #coronavirus,#coronavirusuk [83] #coronavirusuk,#covid19uk [79] #covid19uk,#uklockdown [72] #uklockdown,#uklockdown2 [72] #uklockdown2,#secondwave [72] #secondwave,#secondlockdown [65] #covid19uk,#covid19 [63] #secondlockdown,#nationallockdown [61] #covid19,#coronavirus [60] #covid19,#covid19uk Top Word Pairs in Tweet in G10:
[372] #secondlockdown,#covid19uk [268] #covid19uk,#lockdown [265] #uklockdown,#sage [265] #sage,#secondlockdown [265] #lockdown,#closetheschools [264] march,boldly [264] boldly,abyss [264] abyss,#lockdown2 [264] #lockdown2,let's [264] let's,praise 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 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: