The graph represents a network of 13,790 Twitter users whose recent tweets contained "costoflivingcrisis", 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 September 2022 at 23:02 UTC.
The tweets in the network were tweeted over the 4-day, 15-hour, 15-minute period from Thursday, 08 September 2022 at 06:59 UTC to Monday, 12 September 2022 at 22:15 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 : 13890
Unique Edges : 23486
Edges With Duplicates : 6287
Total Edges : 29773
Number of Edge Types : 5
Replies to : 1860
Mentions : 4267
Retweet : 14274
MentionsInRetweet : 5685
Tweet : 3687
Self-Loops : 3844
Reciprocated Vertex Pair Ratio : 0.0153577661431065
Reciprocated Edge Ratio : 0.0302509453420419
Connected Components : 1361
Single-Vertex Connected Components : 801
Maximum Vertices in a Connected Component : 11114
Maximum Edges in a Connected Component : 25855
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.444027
Graph Density : 0.000120631432356748
Modularity : 0.647453
NodeXL Version : 1.0.1.504
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=281824
Data Import : The graph represents a network of 13,790 Twitter users whose recent tweets contained "costoflivingcrisis", 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 September 2022 at 23:02 UTC.
The tweets in the network were tweeted over the 4-day, 15-hour, 15-minute period from Thursday, 08 September 2022 at 06:59 UTC to Monday, 12 September 2022 at 22:15 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 : TwitterSearch
Graph Term : costoflivingcrisis
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:
[4768] over,years [2393] enough,#costoflivingcrisis [2389] good,enough [2384] years,still [2384] still,good [2383] people,forgotten [2383] forgotten,#energybills [2383] #energybills,cap [2383] cap,104 [2383] 104,start Top Word Pairs in Tweet in G1:
[3264] over,years [1632] people,forgotten [1632] forgotten,#energybills [1632] #energybills,cap [1632] cap,104 [1632] 104,start [1632] start,2019 [1632] 2019,#truss [1632] #truss,500 [1632] 500,generous Top Word Pairs in Tweet in G2:
[303] #costoflivingcrisis,#costofgreedcrisis [221] #a22network,#juststopoil [221] #climatechange,#costoflivingcrisis [217] #civilresistance,#a22network [212] #juststopoil,#nonewoil [212] #nonewoil,#enoughisenough [212] #climatecrisis,#climatechange [210] #enoughisenough,#october1st [210] #october1st,#blockadewestminster [210] #blockadewestminster,#climatecrisis Top Word Pairs in Tweet in G3:
[961] sycophantic,fawning [960] #bbclaurak,please [960] please,make [960] make,stop [960] stop,days [960] days,ridiculous [960] ridiculous,much [960] much,sycophantic [960] fawning,nation [960] nation,take Top Word Pairs in Tweet in G4:
[712] death,queen [703] national,#costoflivingcrisis [702] never,forget [702] forget,midst [702] midst,national [702] #costoflivingcrisis,woman [702] woman,abandoning [702] abandoning,job [702] job,pretend [702] pretend,importance Top Word Pairs in Tweet in G5:
[66] cost,living [47] living,crisis [36] #costoflivingcrisis,#costofgreedcrisis [35] liz,truss [31] #costoflivingcrisis,#costofliving [31] #energycrisis,#costoflivingcrisis [29] #energybills,#costoflivingcrisis [25] #costoflivingcrisis,#energybills [24] #costofliving,#costoflivingcrisis [21] #costoflivingcrisis,#energycrisis Top Word Pairs in Tweet in G6:
[419] 10,days [265] 96,year [265] year,old [243] energy,bill [242] clivemyriebbc,woke [242] woke,glance [242] glance,energy [242] bill,confirm [242] confirm,#costoflivingcrisis [242] #costoflivingcrisis,still Top Word Pairs in Tweet in G7:
[78] #enoughisenough,#generalelectionnow [70] #ff,#toriesout [70] #toriesout,#fbpe [70] #fbpe,#costoflivingcrisis [70] #costoflivingcrisis,#nhs [70] #nhs,#solidarity [70] #solidarity,#fbpr [70] #fbpr,#costoflivinggreed [70] #costoflivinggreed,#gtto [70] #gtto,#brexitreality Top Word Pairs in Tweet in G8:
[173] 24th,september [88] cost,living [69] #dublinprotest,24th [65] living,crisis [64] feet,street [60] time,feet [60] street,#costoflivingcrisis [56] sept,24th [49] dublin,24th [47] another,winter Top Word Pairs in Tweet in G9:
[334] during,#costoflivingcrisis [333] parliament,suspended [332] hand,over [332] over,monarch [332] monarch,happened [332] happened,parliament [332] suspended,during [332] #costoflivingcrisis,#getbacktowork [160] over,years [80] people,forgotten Top Word Pairs in Tweet in G10:
[100] #costoflivingcrisis,#enoughisenough [80] please,share [80] share,solidarity [72] #barnetunison,workers [66] right,thing [60] workers,reject [60] reject,offer [60] offer,#costoflivingcrisis [60] #enoughisenough,please [60] solidarity,eiecampaign Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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