The graph represents a network of 9,428 Twitter users whose tweets in the requested range contained "Energy (Clean OR renewable OR green)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 04 October 2022 at 06:52 UTC.
The requested start date was Tuesday, 04 October 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 2-hour, 57-minute period from Saturday, 01 October 2022 at 21:03 UTC to Tuesday, 04 October 2022 at 00:00 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 : 9428
Unique Edges : 5046
Edges With Duplicates : 12093
Total Edges : 17139
Number of Edge Types : 5
Retweet : 5561
MentionsInRetweet : 6790
Tweet : 1265
Replies to : 1131
Mentions : 2392
Self-Loops : 1317
Reciprocated Vertex Pair Ratio : 0.00732907548947754
Reciprocated Edge Ratio : 0.014551501922877
Connected Components : 1448
Single-Vertex Connected Components : 518
Maximum Vertices in a Connected Component : 4830
Maximum Edges in a Connected Component : 10339
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 8.049678
Graph Density : 0.000108249807747171
Modularity : 0.57683
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 9,428 Twitter users whose tweets in the requested range contained "Energy (Clean OR renewable OR green)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 04 October 2022 at 06:52 UTC.
The requested start date was Tuesday, 04 October 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 2-hour, 57-minute period from Saturday, 01 October 2022 at 21:03 UTC to Tuesday, 04 October 2022 at 00:00 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 : GraphServerTwitterSearch
Graph Term : Energy (Clean OR renewable OR green)
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:
[1362] green,energy [1345] renewable,energy [675] clean,energy [625] inflation,reduction [614] reduction,act [536] solar,panels [533] campaign,trail [533] trail,right [533] right,taking [533] taking,credit Top Word Pairs in Tweet in G1:
[517] inflation,reduction [516] reduction,act [514] trail,right [514] right,taking [514] taking,credit [514] credit,everything [514] everything,inflation [514] act,lower [513] republicans,campaign [513] campaign,trail Top Word Pairs in Tweet in G2:
[162] renewable,energy [130] clean,energy [84] green,energy [26] climate,change [17] stark,differences [17] differences,revealed [17] revealed,under [17] under,bonnet [17] bonnet,clean [17] energy,etfs Top Word Pairs in Tweet in G3:
[239] power,stay [238] crucial,help [238] help,power [238] stay,quickly [238] quickly,restored [238] restored,storm [238] storm,fiona [238] fiona,strikes [238] strikes,today [238] today,directed Top Word Pairs in Tweet in G4:
[148] justin,#trudebt [146] derricktgoat,justin [128] save,planet [127] #trudebt,sold [127] sold,canada [127] canada,lie [127] lie,cut [127] cut,emissions [127] emissions,under [127] under,save Top Word Pairs in Tweet in G5:
[103] chopping,down [103] down,trees [103] trees,taking [103] taking,logs [103] logs,world [103] world,precious [103] precious,forests [103] forests,burn [103] burn,yorkshire [103] yorkshire,power Top Word Pairs in Tweet in G6:
[251] few,weeks [251] weeks,first [251] first,time [251] time,over [251] over,decade [251] decade,democrats [251] democrats,chance [251] chance,offensive [250] briantylercohen,few [250] offensive,cod Top Word Pairs in Tweet in G7:
[209] green,energy [192] reduce,c02 [192] c02,emissions [192] emissions,europe [192] europe,burning [192] burning,wood [192] wood,calling [192] calling,green [192] energy,forests [192] forests,being Top Word Pairs in Tweet in G8:
[220] research,suggests [220] suggests,covering [220] covering,california [220] california,canals [220] canals,solar [220] solar,panels [220] panels,save [220] save,63 [220] 63,billion [220] billion,gallons Top Word Pairs in Tweet in G9:
[205] breaking,president [205] president,biden [205] biden,announced [205] announced,puerto [205] puerto,rican [205] rican,grid [205] grid,recovery [205] recovery,modernization [205] modernization,team [205] team,led Top Word Pairs in Tweet in G10:
[137] king,charles [136] truss,banning [136] banning,king [136] charles,speaking [136] speaking,cop27 [136] cop27,showing [136] showing,govt [136] govt,intentions [136] intentions,imagine [136] imagine,telling Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: