The graph represents a network of 15,711 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 Thursday, 17 November 2022 at 23:33 UTC.
The tweets in the network were tweeted over the 2-day, 0-hour, 9-minute period from Tuesday, 15 November 2022 at 22:15 UTC to Thursday, 17 November 2022 at 22:24 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 : 15711
Unique Edges : 42446
Edges With Duplicates : 23239
Total Edges : 65685
Number of Edge Types : 5
MentionsInRetweet : 24973
Retweet : 10600
Mentions : 23922
Replies to : 5991
Tweet : 199
Self-Loops : 308
Reciprocated Vertex Pair Ratio : 0.0182562878195365
Reciprocated Edge Ratio : 0.0358579427162291
Connected Components : 58
Single-Vertex Connected Components : 38
Maximum Vertices in a Connected Component : 15631
Maximum Edges in a Connected Component : 65597
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.514241
Graph Density : 0.000200441771671407
Modularity : 0.492538
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 15,711 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 Thursday, 17 November 2022 at 23:33 UTC.
The tweets in the network were tweeted over the 2-day, 0-hour, 9-minute period from Tuesday, 15 November 2022 at 22:15 UTC to Thursday, 17 November 2022 at 22:24 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:
[1453] climate,change [949] pedrocastillote,cop27p [742] la,cop27p [700] en,la [657] de,la [652] jaimedebourbon,cop27p [604] climate,crisis [523] #cop27,cop27p [498] cop27p,#cop27 [476] #cop27,live Top Word Pairs in Tweet in G1:
[949] pedrocastillote,cop27p [649] jaimedebourbon,cop27p [445] andretrig,cop27p [430] la,cop27p [406] en,la [384] já,começou [379] climate,change [378] futuro,já [378] aquecimento,global [375] agenda,climática Top Word Pairs in Tweet in G2:
[632] climate,change [351] #cop27,live [302] coral,reefs [250] climate,crisis [246] sameh,shoukry [236] based,solutions [207] goodwill,ambassador [201] elliegoulding,unep [196] high,level [189] nature,based Top Word Pairs in Tweet in G3:
[103] cop27p,4per1000 [98] climate,change [93] cpsavesoil,cop27p [86] 4per1000,routedurhumeng [86] routedurhumeng,sadhgurujv [79] de,la [70] sadhgurujv,#united4land [70] #cop27,#4p1000day [70] #4p1000day,cpsavesoil [70] #united4land,#missionsoil Top Word Pairs in Tweet in G4:
[81] sdgaction,cop27p [76] climate,crisis [74] climate,activists [74] world,leaders [70] leaders,gather [70] #climate,change [70] un,conference [70] gather,un [70] hear,insights [70] female,climate Top Word Pairs in Tweet in G5:
[96] #cop27,cop27p [75] cop27p,#cop27 [57] climate,change [17] meaningful,participation [15] climate,hub [14] #cop27,#cop27egypt [14] #cop27,#justandambitious [14] cop27p,session [13] climate,finance [13] delegates,cop27p Top Word Pairs in Tweet in G6:
[123] la,cop27p [100] juanma_moreno,cop27p [100] con,el [96] juanma_moreno,gideonbehar [96] gideonbehar,cop27p [95] de,la [89] ramonfpm,paradelajsr [87] andaluciajunta,ramonfpm [85] cop27p,andaluciajunta [78] cop27p,#cop27 Top Word Pairs in Tweet in G7:
[97] energy,minister [96] industry,belgian [96] country,outbids [96] cop27p,lecturing [96] international,markets [96] belgium,electricity [96] gas,industry [96] 50,belgium [96] belgian,energy [96] phaseout,nuclear Top Word Pairs in Tweet in G8:
[56] lulaoficial,cop27p [32] gc26_cat,katiereid19 [32] en,el [26] onu_es,gc26_cat [26] en,la [26] katiereid19,guardianesxvida [26] cop27p,cypavilion [26] guardianesxvida,cop27p [24] de,la [23] cop27p,en Top Word Pairs in Tweet in G9:
[28] presidencia_cl,voceriagobierno [28] gobiernodechile,presidencia_cl [20] max_proano,pabelloncop27cl [20] mmachile,gobiernodechile [20] cop27p,subsemma [20] pabelloncop27cl,cop27p [20] voceriagobierno,maisa_rojas [20] maisa_rojas,max_proano [17] climate,crisis [16] s_guilbeault,c_stewart729 Top Word Pairs in Tweet in G10:
[63] cop27p,join [62] blockchain,technology [58] carbon,markets [49] real,world [49] ieta's,#cop27bizhub [49] solving,carbon [49] join,panel [49] carbon,market [49] 30,eet [49] eet,ieta's 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: