The graph represents a network of 13,055 Twitter users whose recent tweets contained "#pmqs", 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, 23 October 2020 at 15:14 UTC.
The tweets in the network were tweeted over the 2-day, 0-hour, 51-minute period from Wednesday, 21 October 2020 at 13:54 UTC to Friday, 23 October 2020 at 14:45 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 : 13055
Unique Edges : 21885
Edges With Duplicates : 3078
Total Edges : 24963
Number of Edge Types : 5
Retweet : 17369
MentionsInRetweet : 5807
Replies to : 371
Mentions : 704
Tweet : 712
Self-Loops : 778
Reciprocated Vertex Pair Ratio : 0.000399095383796727
Reciprocated Edge Ratio : 0.000797872340425532
Connected Components : 263
Single-Vertex Connected Components : 155
Maximum Vertices in a Connected Component : 12586
Maximum Edges in a Connected Component : 24418
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.507396
Graph Density : 0.000132378852079366
Modularity : 0.578672
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 13,055 Twitter users whose recent tweets contained "#pmqs", 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, 23 October 2020 at 15:14 UTC.
The tweets in the network were tweeted over the 2-day, 0-hour, 51-minute period from Wednesday, 21 October 2020 at 13:54 UTC to Friday, 23 October 2020 at 14:45 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 : #pmqs
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[12092] tfl,deficit [10640] boris,johnson [7350] prime,minister [7130] sadiq,khan [5892] bankrupted,tfl [5796] johnson,left [5721] khan,bankrupted [5715] tfl,boris [5715] johnson,tfl [5715] deficit,johnson Top Word Pairs in Tweet in G1:
[9224] tfl,deficit [4624] boris,johnson [4619] sadiq,khan [4616] bankrupted,tfl [4616] prime,minister [4612] khan,bankrupted [4612] tfl,boris [4612] johnson,tfl [4612] deficit,johnson [4612] johnson,left Top Word Pairs in Tweet in G2:
[1614] boris,johnson [907] garden,bridge [902] greater,manchester [878] 000,day [669] prime,minister [661] test,trace [619] region,against [619] against,region [617] pitting,region [604] johnson,pitting Top Word Pairs in Tweet in G3:
[1898] boris,johnson [1282] tfl,deficit [958] prime,minister [808] sadiq,khan [682] covid,19 [646] lost,control [522] bare,faced [520] johnson,lying [520] deficit,down [518] #pmqs,sadiqkhan Top Word Pairs in Tweet in G4:
[342] boris,johnson [187] #pmqs,lindsayhoyle_mp [186] lindsayhoyle_mp,supposed [186] supposed,something [186] something,pm [186] pm,lies [171] #backto60,#50swomen [162] sadiq,khan [155] prime,minister [134] tfl,deficit Top Word Pairs in Tweet in G5:
[845] boris,johnson [627] sadiq,khan [490] garden,bridges [490] water,cannon [488] johnson,taking [488] taking,multiple [488] multiple,pops [488] pops,sadiq [488] khan,#pmqs [488] #pmqs,reminds Top Word Pairs in Tweet in G6:
[360] london,mayor [350] uk,govt [350] govt,gangsters [350] gangsters,led [350] led,mafia [350] mafia,bosses [350] bosses,borisjohnson [350] borisjohnson,dominic [350] dominic,cummings [350] cummings,ppe Top Word Pairs in Tweet in G7:
[121] national,lockdown [100] greater,manchester [68] keir,starmer [66] turned,down [63] boris,johnson [59] manchester,offered [53] full,national [53] ian,blackford [50] yesterday,mayor [50] mayor,greater Top Word Pairs in Tweet in G8:
[328] prime,minister [204] sickening,hear [204] hear,prime [204] minister,praise [204] praise,tory [204] tory,mps [204] mps,10 [204] 10,bidding [204] bidding,yesterday [204] yesterday,argued Top Word Pairs in Tweet in G9:
[307] boris,johnson [213] johnson,really [213] really,clue [213] clue,#covid [213] #covid,strategy [213] strategy,ignore [213] ignore,science [213] science,bully [213] bully,regional [213] regional,leaders Top Word Pairs in Tweet in G10:
[197] pandemic,worsening [154] cuts,furlough [134] many,workers [134] workers,84 [134] 84,hour [134] furlough,sink [122] complaining,150 [122] 150,000 [122] 000,salary [119] furlough,scheme Top Replied-To in Entire Graph:
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:
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Top Tweeters in G9:
Top Tweeters in G10: