The graph represents a network of 15,690 Twitter users whose recent tweets contained "cop27p", 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 Wednesday, 23 November 2022 at 00:37 UTC.
The tweets in the network were tweeted over the 3-day, 1-hour, 42-minute period from Saturday, 19 November 2022 at 20:25 UTC to Tuesday, 22 November 2022 at 22:07 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 : 15690
Unique Edges : 36159
Edges With Duplicates : 22693
Total Edges : 58852
Number of Edge Types : 5
Retweet : 13171
Mentions : 17243
Replies to : 4366
MentionsInRetweet : 23555
Tweet : 517
Self-Loops : 673
Reciprocated Vertex Pair Ratio : 0.0123125568916782
Reciprocated Edge Ratio : 0.0243256034074775
Connected Components : 270
Single-Vertex Connected Components : 214
Maximum Vertices in a Connected Component : 15308
Maximum Edges in a Connected Component : 58463
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.485034
Graph Density : 0.00017167667213424
Modularity : 0.462173
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 15,690 Twitter users whose recent tweets contained "cop27p", 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 Wednesday, 23 November 2022 at 00:37 UTC.
The tweets in the network were tweeted over the 3-day, 1-hour, 42-minute period from Saturday, 19 November 2022 at 20:25 UTC to Tuesday, 22 November 2022 at 22:07 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 : cop27p
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:
[5949] loss,damage [2902] climate,change [2548] damage,fund [2303] climate,justice [2202] sharm,el [2174] el,sheikh [2169] president,cop27p [2159] achievement,climate [2159] fm,shoukry [2158] monumental,achievement Top Word Pairs in Tweet in G1:
[1913] loss,damage [1785] climate,change [1569] damage,fund [1540] el,sheikh [1534] sharm,el [1332] developing,countries [1287] parties,agreed [1285] agreed,establishment [1283] #cop27,sharm [1283] effects,climate Top Word Pairs in Tweet in G2:
[2634] loss,damage [2200] climate,justice [2147] part,agenda [2147] president,cop27p [2147] fm,shoukry [2147] led,#cop27 [2147] hosting,historic [2147] agenda,including [2147] historic,cop [2147] justice,g77 Top Word Pairs in Tweet in G3:
[594] loss,damage [435] closing,plenary [354] climate,change [321] damage,fund [315] sharm,el [292] el,sheikh [273] developing,countries [271] funding,arrangements [246] objections,decided [246] decided,cop27p Top Word Pairs in Tweet in G4:
[79] climate,change [69] race,#savesoil [69] safety,middle [69] individual,commitment [69] goal,cop27p [69] traveled,donald [69] race,race [69] middle,ocean [69] road,traveled [69] commitment,collective Top Word Pairs in Tweet in G5:
[140] eamonryan,cop27p [129] cop27p,dept_ecc [128] antonioguterres,sixsign [128] dept_ecc,dfatirl [120] sixsign,nasasun [120] unfccc,antonioguterres [116] nasasun,olafscholz [116] epoorg,nato [112] abaerbock,epoorg [108] potus,vp Top Word Pairs in Tweet in G6:
[279] loss,damage [272] fossil,fuel [261] pathway,catastrophe [260] usage,pathway [260] fuel,usage [260] cutting,fossil [259] well,cop27p [259] bloated,talking [259] catastrophe,loss [259] talking,shop Top Word Pairs in Tweet in G7:
[105] pérdidas,daños [103] en,la [99] última,plenaria [99] situación,de [99] día,de [99] pakistán,aprobamos [99] horas,de [99] reconociendo,la [99] el,grupo [99] de,pérdidas Top Word Pairs in Tweet in G8:
[248] climate,change [247] agreed,nonsense [247] best,times [247] crisis,negligent [247] change,reparations [247] cost,living [247] times,government [247] inflicted,cost [247] government,sign [247] reparations,agreed Top Word Pairs in Tweet in G9:
[78] unhabitat,cop27p [78] hontuya,mamarachelruto [78] nemakenya,cites [78] williamsruto,nationafrica [78] keforestservice,nemakenya [78] cop27p,kephiske [78] usambkenya,hontuya [78] cites,usambkenya [78] unep_africa,keforestservice [78] nationafrica,paulakahumbu Top Word Pairs in Tweet in G10:
[18] loss,damage [12] climate,change [9] damage,fund [7] los,países [7] vulnerable,countries [5] climate,justice [5] fondo,para [5] good,news [5] cambio,climático [5] developing,countries Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G7:
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Top Tweeters in G10: