The graph represents a network of 14,106 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 Sunday, 27 March 2022 at 03:44 UTC.
The tweets in the network were tweeted over the 8-day, 8-hour, 3-minute period from Friday, 18 March 2022 at 18:00 UTC to Sunday, 27 March 2022 at 02:03 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 : 14106
Unique Edges : 25436
Edges With Duplicates : 28399
Total Edges : 53835
Number of Edge Types : 5
Retweet : 9207
Replies to : 2251
Tweet : 2004
MentionsInRetweet : 24212
Mentions : 16161
Self-Loops : 2340
Reciprocated Vertex Pair Ratio : 0.0159317850330977
Reciprocated Edge Ratio : 0.0313638873550525
Connected Components : 1377
Single-Vertex Connected Components : 559
Maximum Vertices in a Connected Component : 10656
Maximum Edges in a Connected Component : 49347
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.309155
Graph Density : 0.000136531461568165
Modularity : 0.45266
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 14,106 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 Sunday, 27 March 2022 at 03:44 UTC.
The tweets in the network were tweeted over the 8-day, 8-hour, 3-minute period from Friday, 18 March 2022 at 18:00 UTC to Sunday, 27 March 2022 at 02:03 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:
[1367] climate,change [738] net,zero [687] months,ago [547] combate,ao [547] ao,desmatamento [543] brasil,foi [543] foi,destaque [543] destaque,última [543] última,cop26 [543] cop26,governo Top Word Pairs in Tweet in G1:
[454] eu_commission,eu_eeas [443] uspto,epa [414] antonioguterres,vonderleyen [406] potus,vp [399] housedemocrats,senatedems [398] speakerpelosi,housedemocrats [395] vp,speakerpelosi [390] errollynch7,lynch3errol [390] lynch3errol,senwarren [390] senwarren,epoorg Top Word Pairs in Tweet in G2:
[536] brasil,foi [536] foi,destaque [536] destaque,última [536] última,cop26 [536] cop26,governo [536] governo,bolsonaro [536] bolsonaro,foi [536] foi,elogiado [536] elogiado,seus [536] seus,compromissos Top Word Pairs in Tweet in G3:
[488] net,zero [411] british,people [411] conservative,pragmatism [410] oliver,dowden [410] months,ago [409] dowden,tells [409] tells,tory [409] tory,spring [409] spring,conference [409] conference,know Top Word Pairs in Tweet in G4:
[80] climate,change [33] cop26,glasgow [29] net,zero [29] 骨抜きとなったcop26,地球温暖化 [28] 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 [27] cop26,climate [22] climate,crisis [20] young,people [20] climate,strikes [19] climate,summit Top Word Pairs in Tweet in G5:
[85] #cop26,#climatejustice [78] address,#climatecrisis [78] #climatecrisis,empower [78] empower,communities [78] communities,facing [78] facing,environmental [78] environmental,harm [78] harm,right [78] right,film [78] film,globalnamati Top Word Pairs in Tweet in G6:
[97] climate,action [89] months,ago [84] oliver,dowden [80] climate,change [78] global,leadership [77] hosting,cop26 [77] cop26,gives [77] gives,opportunity [77] opportunity,provide [77] provide,global Top Word Pairs in Tweet in G7:
[352] cop26,conference [352] set,record [352] emissions,air [352] air,travel [352] travel,main [352] main,culprit [350] lest,forget [350] forget,united [350] united,nations [350] nations,cop26 Top Word Pairs in Tweet in G8:
[116] lord_bilimoria,highlights [116] highlights,during [116] during,30 [116] 30,engagements [116] engagements,#cop26 [116] #cop26,once [116] once,word [116] word,soil [116] soil,mentioned [116] mentioned,#savesoil Top Word Pairs in Tweet in G9:
[49] beginning,look [49] look,sturgeon [49] sturgeon,missed [49] missed,opportunity [49] opportunity,cushy [49] cushy,international [49] international,job [49] job,left [49] left,right [49] right,cop26 Top Word Pairs in Tweet in G10:
[14] first,series [14] series,events [14] events,kind [14] kind,touch [14] touch,enquiries [14] enquiries,lawyersfornature [14] lawyersfornature,learn [14] learn,more [14] more,involved [14] involved,#lawtwitter 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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Top Tweeters in G10: