The graph represents a network of 15,430 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 Saturday, 19 November 2022 at 02:38 UTC.
The tweets in the network were tweeted over the 2-day, 7-hour, 44-minute period from Wednesday, 16 November 2022 at 17:37 UTC to Saturday, 19 November 2022 at 01:22 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 : 15430
Unique Edges : 40979
Edges With Duplicates : 23622
Total Edges : 64601
Number of Edge Types : 5
Mentions : 22972
MentionsInRetweet : 24364
Retweet : 10712
Replies to : 6342
Tweet : 211
Self-Loops : 333
Reciprocated Vertex Pair Ratio : 0.0169246470488178
Reciprocated Edge Ratio : 0.0332859412896211
Connected Components : 56
Single-Vertex Connected Components : 41
Maximum Vertices in a Connected Component : 15357
Maximum Edges in a Connected Component : 64522
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.499007
Graph Density : 0.000200899342532245
Modularity : 0.474682
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 15,430 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 Saturday, 19 November 2022 at 02:38 UTC.
The tweets in the network were tweeted over the 2-day, 7-hour, 44-minute period from Wednesday, 16 November 2022 at 17:37 UTC to Saturday, 19 November 2022 at 01:22 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:
[1538] jaimedebourbon,cop27p [1239] climate,change [565] sharm,el [535] de,la [531] world,leaders [522] la,cop27p [521] sameh,shoukry [516] climate,action [420] en,la [410] president,sameh Top Word Pairs in Tweet in G1:
[384] andretrig,cop27p [364] sharm,el [314] cop27p,sharm [309] climate,change [299] honour,meeting [299] meeting,president [299] great,honour [299] #brazil,cop27p [299] negotiation,meeting [299] #indigenouspeoples,hope Top Word Pairs in Tweet in G2:
[544] climate,change [421] sameh,shoukry [348] president,sameh [282] world,leaders [274] #cop27,president [266] #cop27,live [237] climate,action [190] patron,oceans [190] oceans,lewispugh [186] ministerial,meeting Top Word Pairs in Tweet in G3:
[1531] jaimedebourbon,cop27p [237] setting,good [155] cop27p,plane [145] ride,bike [143] egypt,ride [142] plane,egypt [141] bike,setting [96] voor,de [95] typical,dutch [94] hansvantelling,jaimedebourbon Top Word Pairs in Tweet in G4:
[66] climate,change [63] #cop27,cop27p [60] cop27p,sdgoals [60] antonioguterres,sixsign [60] vonderleyen,abaerbock [56] olafscholz,vonderleyen [56] sixsign,nasasun [56] unfccc,antonioguterres [54] nasasun,olafscholz [54] potus,vp Top Word Pairs in Tweet in G5:
[46] present,danger [45] cop27p,panoramic [45] nigeria,dry [45] panoramic,view [45] chad,nigeria [45] drier,drier [45] wetland,chad [45] homeland,cop27p [45] flying,homeland [45] thriving,wetland Top Word Pairs in Tweet in G6:
[92] eamonryan,cop27p [56] funding,base [47] iea,cop27p [45] oil,gas [44] eamonryan,iea [40] climate,change [37] cop27p,#cop27irl [36] usagov,cop27p [35] eamonryan,usagov [35] fund,vulnerable Top Word Pairs in Tweet in G7:
[33] public,mobility [31] greening,public [27] shri,iamvikassheel [27] iamvikassheel,md [27] md,mojsddws [25] convergencecesl,wricitiesindia [25] hosted,morthindia [25] wricitiesindia,cop27p [25] power_pib,mygovindia [25] program,pib_india Top Word Pairs in Tweet in G8:
[84] de,la [63] #spaincop27,#togetherforimplementation [55] en,el [51] de,españa [51] la,#cop27 [51] pabellón,de [50] cop27p,mitecogob [45] mitecogob,#spaincop27 [42] en,la [39] el,pabellón Top Word Pairs in Tweet in G9:
[58] cop27p,4per1000 [47] cpsavesoil,cop27p [41] 4per1000,routedurhumeng [41] routedurhumeng,sadhgurujv [36] #cop27soil,#4p1000day [36] #4p1000day,#rdr22 [33] cpsavesoil,sadhgurujv [32] present,danger [31] #savesoil,#cop27 [29] message,heard Top Word Pairs in Tweet in G10:
[106] common,ground [60] mtg,mtg [60] billion,people [59] ground,cop27p [59] cop27p,takes [59] takes,decisions [59] staying,strong [59] maintaining,unity [59] south,staying [59] pakistan,team Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G10: