The graph represents a network of 7,662 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, 10 October 2022 at 09:54 UTC.
The tweets in the network were tweeted over the 8-day, 5-hour, 46-minute period from Sunday, 02 October 2022 at 03:21 UTC to Monday, 10 October 2022 at 09:07 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 : 7662
Unique Edges : 24767
Edges With Duplicates : 18933
Total Edges : 43700
Number of Edge Types : 5
Replies to : 2220
Retweet : 4812
MentionsInRetweet : 20329
Mentions : 15995
Tweet : 344
Self-Loops : 468
Reciprocated Vertex Pair Ratio : 0.0130455734544954
Reciprocated Edge Ratio : 0.0257551561278924
Connected Components : 215
Single-Vertex Connected Components : 127
Maximum Vertices in a Connected Component : 7210
Maximum Edges in a Connected Component : 43183
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.95722
Graph Density : 0.000501392009776318
Modularity : 0.458415
NodeXL Version : 1.0.1.504
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=282622
Data Import : The graph represents a network of 7,662 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, 10 October 2022 at 09:54 UTC.
The tweets in the network were tweeted over the 8-day, 5-hour, 46-minute period from Sunday, 02 October 2022 at 03:21 UTC to Monday, 10 October 2022 at 09:07 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:
[1184] unfccc,cpsavesoil [728] climate,change [644] carbon,sink [626] #savesoil,happen [595] soil,greatest [594] rich,soil [594] greatest,carbon [593] carbon,soil [592] carbon,atmosphere [589] possibility,#savesoil Top Word Pairs in Tweet in G1:
[1172] unfccc,cpsavesoil [639] carbon,sink [623] #savesoil,happen [592] soil,greatest [591] rich,soil [591] greatest,carbon [590] carbon,soil [589] carbon,atmosphere [586] possibility,#savesoil [581] life,flourish Top Word Pairs in Tweet in G2:
[110] cop27p,unfccc [103] climate,change [103] de,la [80] sustdev,un_sdg [72] coca,cola [69] unfccc,climate [66] sharm,el [66] el,sheikh [63] cop27,cop27p [62] remuevan,coca Top Word Pairs in Tweet in G3:
[278] climate,change [254] african,climate [252] unfccc,antonioguterres [242] unfccc,cop27p [191] badges,cop27 [149] climate,activist [144] cop27,unfccc [143] unfccc,african [142] africans,witness [142] witness,negotiations Top Word Pairs in Tweet in G4:
[81] murder,5m [81] 5m,biafrans [81] biafrans,prevented [81] prevented,britain [81] britain,trussliz [81] trussliz,desperately [81] desperately,access [81] access,oil [81] oil,#biafra [81] #biafra,people Top Word Pairs in Tweet in G5:
[193] reduce,mitigation [192] #worldhabitatday,unfccc [192] unfccc,estimates [192] estimates,past [192] past,50 [192] 50,18 [192] 18,million [192] million,acres [192] acres,forest [192] forest,lost Top Word Pairs in Tweet in G6:
[56] bmuv,europarl_en [55] europarl_en,bbcnews [55] bbcnews,unfccc [55] unfccc,breg_bund [55] epa,govabbott [53] breg_bund,berlin_de_news [53] govabbott,govrondesantis [52] berlin_de_news,epa [44] govrondesantis,geoengwatch [23] killa_kiel,bmuv Top Word Pairs in Tweet in G7:
[44] keep,goal [44] goal,alive [42] marginal,distinguish [42] distinguish,global [42] global,warming [42] warming,future [42] future,vastly [42] vastly,scenario [42] scenario,order [42] order,keep Top Word Pairs in Tweet in G8:
[339] unfccc,russiaun [339] russiaun,unesco_russia [339] unesco_russia,mission_russian [339] mission_russian,rusembusa [339] rusembno,rusembswe [338] rusembusa,rus_emb_ireland [338] rus_emb_ireland,rusembno [333] rusembswe,russianembassyc [333] russianembassyc,rusembindia [328] mfa_russia,unfccc Top Word Pairs in Tweet in G9:
[23] ethicalx,#foodsystems [23] #foodsystems,cohort [19] co,founder [17] cohort,member [17] earth,observation [16] climate,change [15] cop27p,unfccc [15] unfccc,slycantrust [14] unfccc,whoi [14] whoi,scripps_ocean Top Word Pairs in Tweet in G10:
[22] climate,change [12] panchamrit,cop26 [12] cop26,unfccc [12] unfccc,held [12] held,glasgow [12] glasgow,united [12] stop,burn [11] india,panchamrit [11] united,kingdom [11] kingdom,#cleanindia_greenindia Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G4:
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Top Tweeters in G9:
Top Tweeters in G10: