The graph represents a network of 7,410 Twitter users whose recent tweets contained "unfccc", 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, 24 October 2022 at 09:33 UTC.
The tweets in the network were tweeted over the 8-day, 17-hour, 47-minute period from Saturday, 15 October 2022 at 15:06 UTC to Monday, 24 October 2022 at 08:53 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 : 7410
Unique Edges : 23048
Edges With Duplicates : 18304
Total Edges : 41352
Number of Edge Types : 5
Mentions : 13342
Replies to : 1592
Retweet : 4863
MentionsInRetweet : 21254
Tweet : 301
Self-Loops : 430
Reciprocated Vertex Pair Ratio : 0.0180920446589779
Reciprocated Edge Ratio : 0.0355410785378212
Connected Components : 213
Single-Vertex Connected Components : 125
Maximum Vertices in a Connected Component : 6985
Maximum Edges in a Connected Component : 40850
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.069085
Graph Density : 0.000503272363243522
Modularity : 0.433802
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 7,410 Twitter users whose recent tweets contained "unfccc", 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, 24 October 2022 at 09:33 UTC.
The tweets in the network were tweeted over the 8-day, 17-hour, 47-minute period from Saturday, 15 October 2022 at 15:06 UTC to Monday, 24 October 2022 at 08:53 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 : unfccc
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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[626] climate,change [421] young,people [373] youth,pavilion [368] time,unfccc [365] unfccc,conference [363] children,youth [361] voices,young [361] #savesoil,global [361] global,movement [357] including,unccd Top Word Pairs in Tweet in G1:
[246] climate,change [213] unfccc,cop27p [143] cop27p,unfccc [140] #cop27,egypt [136] david,attenborough [135] sir,david [134] wonderful,recovery [134] recovery,#cop27 [125] approaches,powerful [125] speech,sir Top Word Pairs in Tweet in G2:
[361] global,movement [361] #savesoil,global [357] soils,extinction [357] save,world's [357] movement,save [357] including,unccd [357] nations,un [357] world's,soils [324] wfp,awesome [303] unfccc,wfp Top Word Pairs in Tweet in G3:
[268] youth,pavilion [263] unfccc,conference [262] time,unfccc [262] young,people [248] children,youth [248] led,youth [248] conference,children [248] voices,young [248] pavilion,#cop27 [248] #cop27,led Top Word Pairs in Tweet in G4:
[214] unfccc,executive [206] yvodeboer,pespinosac [206] cfigueres,yvodeboer [182] hope,courage [172] climate,negotiations [169] listen,unfccc [169] happen,#cop27 [169] executive,secretaries [169] 30,climate [169] negotiations,explain Top Word Pairs in Tweet in G5:
[49] un,unfccc [40] climate,change [38] long,term [36] abhishe09604680,bachatenikesh [28] unep,unfccc [25] pmoindia,rashtrapatibhvn [23] today's,plogging [23] narendramodi,pmoindia [23] unfccc,un [23] omkarkh68977305,abhishe09604680 Top Word Pairs in Tweet in G6:
[75] #disasterriskreduction,#payup4lossanddamage [73] emmanuelmacron,unfccc [70] trussliz,emmanuelmacron [70] potus,trussliz [66] #payup4lossanddamage,actionaid_kenya [65] actionaid_kenya,gp_kenya [63] gp_kenya,eco_vistake [61] eco_vistake,eco_vistanai [59] ecovistaisiolo,potus [59] eco_vistanai,ecovistaisiolo Top Word Pairs in Tweet in G7:
[33] climate,justice [30] williamsruto,statehousekenya [30] oleitumbi,kenyagovernors [30] unfccc,oleitumbi [30] hontuya,k_iuesa [30] environment_ke,mamarachelruto [30] kccwg,greenafricaorg [30] k_iuesa,accesscsos [30] statehousekenya,environment_ke [30] jageyo,gov_ottichilo Top Word Pairs in Tweet in G8:
[138] albomp,jechalmers [136] petro,chemical [136] unfccc,#auspol [136] chemical,plant [119] public,interest [117] gas,sensible [117] plant,subsidy [117] darwin,petro [117] available,subsidise [117] jechalmers,public Top Word Pairs in Tweet in G9:
[14] climate,change [14] cifor,icraf [13] forests,investment [13] trees,forests [13] climate,resilience [13] investment,climate [13] resilience,cifor [11] tercer,informe [11] #recomendado,tercer [11] cambio,climático Top Word Pairs in Tweet in G10:
[42] human,rights [20] climate,response [16] 200,organisations [15] call,human [13] organisations,call [13] indigenous,peoples [12] heart,climate [12] climate,action [12] indivisible,#justtransition [12] protect,human 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: