The graph represents a network of 14,775 Twitter users whose recent tweets contained "#EnergyBills", 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 Tuesday, 13 September 2022 at 03:15 UTC.
The tweets in the network were tweeted over the 4-day, 10-hour, 0-minute period from Thursday, 08 September 2022 at 15:13 UTC to Tuesday, 13 September 2022 at 01:13 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 : 14789
Unique Edges : 19839
Edges With Duplicates : 2767
Total Edges : 22606
Number of Edge Types : 5
Mentions : 1526
Retweet : 16478
Tweet : 1699
MentionsInRetweet : 2288
Replies to : 615
Self-Loops : 1783
Reciprocated Vertex Pair Ratio : 0.00525773195876289
Reciprocated Edge Ratio : 0.0104604655932725
Connected Components : 933
Single-Vertex Connected Components : 565
Maximum Vertices in a Connected Component : 12803
Maximum Edges in a Connected Component : 19363
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 4.022005
Graph Density : 8.917249153282E-05
Modularity : 0.701247
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 14,775 Twitter users whose recent tweets contained "#EnergyBills", 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 Tuesday, 13 September 2022 at 03:15 UTC.
The tweets in the network were tweeted over the 4-day, 10-hour, 0-minute period from Thursday, 08 September 2022 at 15:13 UTC to Tuesday, 13 September 2022 at 01:13 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 : #EnergyBills
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:
[4156] over,years [3237] #queenelizabethii,#queen [3225] #londonbridge,#energybills [3222] soft,power [3222] power,making [3222] making,regime [3222] regime,palatable [3222] palatable,world [3222] world,creating [3222] creating,understanding Top Word Pairs in Tweet in G1:
[2886] soft,power [2886] power,making [2886] making,regime [2886] regime,palatable [2886] palatable,world [2886] world,creating [2886] creating,understanding [2886] understanding,respect [2886] respect,support [2886] support,political Top Word Pairs in Tweet in G2:
[2876] over,years [1438] people,forgotten [1438] forgotten,#energybills [1438] #energybills,cap [1438] cap,104 [1438] 104,start [1438] start,2019 [1438] 2019,#truss [1438] #truss,500 [1438] 500,generous Top Word Pairs in Tweet in G3:
[1233] energy,price [1230] price,guarantee [1227] #energybills,#priceguarantee [1226] guarantee,15 [1226] 15,quick [1226] quick,need [1226] need,knows [1226] knows,consumers [1226] consumers,please [1226] please,feel Top Word Pairs in Tweet in G4:
[416] energy,companies [401] liz,truss [301] #energybills,#energycrisis [287] prime,minister [275] ian,blackford [275] blackford,shamed [275] shamed,#thicklizzie [275] #thicklizzie,house [275] house,legendary [275] legendary,fashion Top Word Pairs in Tweet in G5:
[1089] energy,companies [1079] liz,truss [1070] 170,billion [1067] profits,energy [1064] truss,grand [1064] grand,solution [1064] solution,lend [1064] lend,money [1064] money,meanwhile [1064] meanwhile,170 Top Word Pairs in Tweet in G6:
[332] energy,company [331] quite,frankly [331] frankly,remarkable [331] remarkable,prime [331] prime,minster [331] minster,asking [331] asking,workers [331] workers,pay [331] pay,massive [331] massive,energy Top Word Pairs in Tweet in G7:
[50] #energybills,#energycrisis [43] energy,bills [25] #energybills,#energypricecap [24] #energycrisis,#energybills [23] liz,truss [22] bills,next [21] much,anticipated [21] anticipated,update [21] update,#energybills [21] #energybills,announced Top Word Pairs in Tweet in G8:
[430] energy,companies [420] liz,truss [409] 130,billion [405] #energybills,double [405] double,paid [405] paid,last [405] last,winter [405] truss,picked [405] picked,pockets [405] pockets,boost Top Word Pairs in Tweet in G9:
[395] wife,former [395] former,bp [393] bp,exec [392] wrong,unduly [392] unduly,influenced [392] influenced,100k [392] 100k,donation [392] donation,wife [392] exec,true [392] true,wrong Top Word Pairs in Tweet in G10:
[428] energy,companies [391] #truss,going [391] going,loan [391] loan,money [391] money,give [391] give,energy [391] companies,saddle [391] saddle,debt [391] debt,yes [391] yes,absurd Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
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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:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: