The graph represents a network of 8,138 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 Sunday, 16 October 2022 at 10:57 UTC.
The tweets in the network were tweeted over the 8-day, 19-hour, 56-minute period from Friday, 07 October 2022 at 14:01 UTC to Sunday, 16 October 2022 at 09:58 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 : 8138
Unique Edges : 27023
Edges With Duplicates : 24310
Total Edges : 51333
Number of Edge Types : 5
MentionsInRetweet : 21174
Mentions : 22319
Retweet : 4751
Tweet : 383
Replies to : 2706
Self-Loops : 490
Reciprocated Vertex Pair Ratio : 0.0162190659306581
Reciprocated Edge Ratio : 0.0319204125850652
Connected Components : 226
Single-Vertex Connected Components : 133
Maximum Vertices in a Connected Component : 7706
Maximum Edges in a Connected Component : 50858
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.019496
Graph Density : 0.000494858673744927
Modularity : 0.450242
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 8,138 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 Sunday, 16 October 2022 at 10:57 UTC.
The tweets in the network were tweeted over the 8-day, 19-hour, 56-minute period from Friday, 07 October 2022 at 14:01 UTC to Sunday, 16 October 2022 at 09:58 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:
[1230] unfccc,cpsavesoil [1004] climate,change [705] carbon,sink [689] #savesoil,happen [654] rich,soil [651] soil,greatest [651] sg,unfccc [651] carbon,atmosphere [651] carbon,soil [650] greatest,carbon Top Word Pairs in Tweet in G1:
[349] climate,change [254] cop27p,unfccc [175] unfccc,antonioguterres [130] unfccc,cop27p [104] de,la [92] la,cop27 [90] cop27,cop27p [89] climate,action [88] coca,cola [84] como,sponsor Top Word Pairs in Tweet in G2:
[1210] unfccc,cpsavesoil [693] carbon,sink [679] #savesoil,happen [644] rich,soil [641] soil,greatest [641] carbon,atmosphere [641] sg,unfccc [640] greatest,carbon [640] carbon,soil [638] possibility,#savesoil Top Word Pairs in Tweet in G3:
[311] #payup4lossanddamage,#idrrd [309] emmanuelmacron,unfccc [307] trussliz,emmanuelmacron [294] actionaid_kenya,gp_kenya [280] #idrrd,actionaid_kenya [271] undpclimate,unep [268] gp_kenya,eco_vistake [264] potus,trussliz [261] eco_vistake,eco_vistanai [224] ecovistaisiolo,potus Top Word Pairs in Tweet in G4:
[208] climate,change [128] #cop27,unfccc [117] lives,people [117] respect,borders [117] impact,lives [117] people,globally [115] change,respect [115] borders,boundaries [114] political,election [114] boundaries,respect Top Word Pairs in Tweet in G5:
[378] unesco_russia,mission_russian [378] russiaun,unesco_russia [378] unfccc,russiaun [378] mission_russian,rusembusa [375] rusembusa,rus_emb_ireland [375] rus_emb_ireland,rusembno [372] rusembno,rusembswe [371] russianembassyc,rusembindia [365] rusembswe,russianembassyc [358] mfa_russia,unfccc Top Word Pairs in Tweet in G6:
[349] human,rights [141] 200,organisations [125] indigenous,peoples [117] organisations,call [99] leaders,protect [96] climate,response [96] rights,indigenous [93] protect,human [92] climate,action [90] call,human Top Word Pairs in Tweet in G7:
[36] 2010,2018 [34] historical,moment [34] unfccc,certified [34] certified,gabon's [34] carbon,credit [34] gabon's,187 [34] 187,million [34] million,carbon [34] victory,#climate [34] country,historical Top Word Pairs in Tweet in G8:
[33] olumideidowu,nomoreslaves [31] nomoreslaves,nevillegaunt [28] rural,women [24] cop27p,sdgaction [24] victoryashaka,haomaworgwu [24] youtube,ifeomacnnamani [24] cycdi_ng,un [24] dzennypha,rosekeffas_g [24] ekelejiata,climatewed [24] undpnigeria,worldbank Top Word Pairs in Tweet in G9:
[20] climate,change [9] human,rights [7] clean,energy [6] united,nations [6] world,leaders [6] 200,organisations [5] energy,double [5] conference,youth [5] unfccc,conference [5] cop,27 Top Word Pairs in Tweet in G10:
[18] wrong,#cop27 [18] #cop27,#cop27egypt [18] sign,petition [18] stop,corruption [18] petition,stop [15] cola,pay [15] remove,ellen [15] pay,play [15] coca,cola [15] strong,wrong Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
Top Replied-To in G7:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
Top Mentioned in G7:
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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: