The graph represents a network of 13,287 Twitter users whose recent tweets contained "cop26", 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 Thursday, 07 April 2022 at 12:53 UTC.
The tweets in the network were tweeted over the 8-day, 6-hour, 42-minute period from Wednesday, 30 March 2022 at 04:19 UTC to Thursday, 07 April 2022 at 11:01 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 : 13287
Unique Edges : 24771
Edges With Duplicates : 13731
Total Edges : 38502
Number of Edge Types : 5
Retweet : 8362
MentionsInRetweet : 14132
Replies to : 2566
Mentions : 11377
Tweet : 2065
Self-Loops : 2274
Reciprocated Vertex Pair Ratio : 0.0157412277406266
Reciprocated Edge Ratio : 0.0309945630062507
Connected Components : 1425
Single-Vertex Connected Components : 642
Maximum Vertices in a Connected Component : 9573
Maximum Edges in a Connected Component : 33517
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.842187
Graph Density : 0.000153157164696923
Modularity : 0.60656
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 13,287 Twitter users whose recent tweets contained "cop26", 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 Thursday, 07 April 2022 at 12:53 UTC.
The tweets in the network were tweeted over the 8-day, 6-hour, 42-minute period from Wednesday, 30 March 2022 at 04:19 UTC to Thursday, 07 April 2022 at 11:01 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 : cop26
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:
[1713] climate,change [794] alok,sharma [658] fossil,fuels [487] latest,#climatereport [394] global,warming [360] voters,vote [360] vote,alok [353] net,zero [341] publish,latest [296] cop26,president Top Word Pairs in Tweet in G1:
[780] climate,change [473] latest,#climatereport [331] publish,latest [301] global,warming [276] intergovernmental,panel [276] panel,climate [276] countries,set [274] today,intergovernmental [274] change,publish [274] #climatereport,278 Top Word Pairs in Tweet in G2:
[226] amp,gas [223] gas,projects [180] wondering,juststop_oil [180] juststop_oil,xrebellionuk [180] xrebellionuk,demonstrating [180] demonstrating,right [180] right,such [180] such,light [180] light,reading [180] reading,basically Top Word Pairs in Tweet in G3:
[132] net,zero [130] narendramodi,ji [129] carbon,emissions [129] contribution,india [128] zero,carbon [126] #cop26,pm [126] pm,sri [126] sri,narendramodi [126] ji,highlighted [126] highlighted,india's Top Word Pairs in Tweet in G4:
[126] almanaut,pmagn [126] pmagn,dh_a_heller [126] dh_a_heller,sillymickel [126] anthropocenem,i_ameztoy [126] i_ameztoy,antonboym [126] ecowarriorss,livingroom2020 [126] livingroom2020,onemanlaptop [126] cgreenseas,alex_verbeek [126] alex_verbeek,xr_bse [126] xr_bse,arikring Top Word Pairs in Tweet in G5:
[102] 骨抜きとなったcop26,地球温暖化 [79] phase,coal [79] save,planet [79] 地球温暖化,脱炭素の観念支配でひと儲けを目論む金貸し勢力 [78] climate,change [77] coal,save [45] 脱炭素の観念支配でひと儲けを目論む金貸し勢力,新市場創出のための政治ショーであることが透けて見え [45] 新市場創出のための政治ショーであることが透けて見え,興覚めするばかり [44] 興覚めするばかり,写真は涙ぐむシャーマ議長 [28] climate,crisis Top Word Pairs in Tweet in G6:
[535] alok,sharma [348] voters,vote [348] vote,alok [184] reading,west [184] cop26,president [174] 2019,ge [174] ge,reading [174] west,alok [174] sharma,67 [174] 67,49 Top Word Pairs in Tweet in G7:
[430] fossil,fuels [213] days,secretary [213] secretary,general [213] general,investing [213] investing,fossil [213] fuels,moral [213] moral,economic [213] economic,madness [213] madness,pm [213] pm,decides Top Word Pairs in Tweet in G8:
[23] twilight,zone [20] #cop26,twilight [20] 10,000 [15] forget,scottish [15] scottish,nationalists [15] nationalists,wanting [15] wanting,leave [15] leave,anyone [15] anyone,proud [15] proud,part Top Word Pairs in Tweet in G9:
[196] なぜcop２６が,石炭火力発電所の削減 [195] 動画,びっくりしました [195] びっくりしました,なぜcop２６が [195] 石炭火力発電所の削減,で合意したのか質問したら [195] で合意したのか質問したら,山口環境相は [195] 山口環境相は,各国の事情が [195] 各国の事情が,とモゴモゴ言うだけ [195] とモゴモゴ言うだけ,ｃo２の最大排出源であり [195] ｃo２の最大排出源であり,再エネという代替手段があるからという世界共通の認識も語れず [195] 再エネという代替手段があるからという世界共通の認識も語れず,化石賞は当然です Top Word Pairs in Tweet in G10:
[51] #actonclimate,#climatecrisis [51] #climatecrisis,#climatestrike [51] #climatestrike,#climateactionnow [51] #climateactionnow,#climatejustice [51] #climatejustice,#extinction [51] #extinction,#extinctionrebellion [51] #extinctionrebellion,#fridaysforfuture [51] #fridaysforfuture,#gretathunberg [51] #gretathunberg,#greennewdeal [51] #greennewdeal,#greenparty Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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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:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: