The graph represents a network of 17,249 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, 09 November 2022 at 18:55 UTC.
The tweets in the network were tweeted over the 20-hour, 8-minute period from Tuesday, 08 November 2022 at 13:30 UTC to Wednesday, 09 November 2022 at 09:39 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 : 17249
Unique Edges : 48043
Edges With Duplicates : 23484
Total Edges : 71527
Number of Edge Types : 5
Retweet : 11826
MentionsInRetweet : 28856
Replies to : 6459
Mentions : 24190
Tweet : 196
Self-Loops : 375
Reciprocated Vertex Pair Ratio : 0.0117161205814398
Reciprocated Edge Ratio : 0.0231608854363345
Connected Components : 93
Single-Vertex Connected Components : 68
Maximum Vertices in a Connected Component : 17122
Maximum Edges in a Connected Component : 71392
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.442407
Graph Density : 0.000186920975548474
Modularity : 0.511254
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 17,249 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, 09 November 2022 at 18:55 UTC.
The tweets in the network were tweeted over the 20-hour, 8-minute period from Tuesday, 08 November 2022 at 13:30 UTC to Wednesday, 09 November 2022 at 09:39 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:
[1465] la,cop27p [1299] climate,change [1132] en,la [984] rishisunak,cop27p [854] de,la [842] sharm,el [823] global,climate [819] el,sheikh [709] climate,action [705] world,leaders Top Word Pairs in Tweet in G1:
[376] #cop27,#togetherforimplementation [341] sharm,el [338] el,sheikh [262] opening,ceremony [261] climate,change [256] world,leaders [249] global,climate [247] climate,implementation [245] implementation,summit [240] sheikh,climate Top Word Pairs in Tweet in G2:
[619] prime,minister [506] #cop27,live [482] global,climate [452] climate,action [430] live,roundtable [338] climate,change [329] sharm,el [310] el,sheikh [304] sustainability,vulnerable [304] world,leaders Top Word Pairs in Tweet in G3:
[906] rishisunak,cop27p [320] 10downingstreet,rishisunak [196] giorgiameloni,cop27p [176] stimmo,rishisunak [85] seat,table [85] table,europe [84] courting,ukip [84] power,wrecked [84] europe,special [84] cop27p,britain Top Word Pairs in Tweet in G4:
[175] cop27p,cpsavesoil [172] cpsavesoil,cifor [172] cifor,ca4sh_global [140] #savesoil,happen [136] high,table [136] #cop27,#savesoil [133] wonderful,soil [133] soil,seat [133] happen,sg [133] sg,cop27p Top Word Pairs in Tweet in G5:
[483] pavilion,cop27p [446] good,morning [444] proud,magnificent [443] india,proud [442] magnificent,pavilion [442] showcasing,world [442] friends,india [442] indian,pavilion [442] india,showcasing [442] cop27p,friends Top Word Pairs in Tweet in G6:
[162] sur,les [156] pas,de [155] brutofficiel,cop27p [153] la,cop27p [150] je,ne [148] cop27p,sur [147] vous,ne [147] les,taxer [147] les,superprofits [146] sa,réponse Top Word Pairs in Tweet in G7:
[368] de,la [314] la,alianza [242] minambienteco,cop27p [230] nuestro,presidente [220] petrogustavo,cancilleriacol [217] isaac_herzog,petrogustavo [217] cop27p,israelincol [208] israelinspanish,minambienteco [208] cancilleriacol,israelinspanish [175] de,los Top Word Pairs in Tweet in G8:
[641] la,cop27p [635] en,la [609] intervención,en [609] su,intervención [609] cop27p,la [609] durante,su [567] actuar,con [566] la,humanidad [565] con,consciencia [565] la,crisis Top Word Pairs in Tweet in G9:
[498] s_guilbeault,cop27p [39] cop27p,#cop27 [32] climate,change [21] cop27p,egypt [21] carbon,footprint [20] part,solution [20] climate,crisis [18] #cop27,nuclear4climate [17] farmers,ag [17] eager,table Top Word Pairs in Tweet in G10:
[111] en,la [103] la,cop27p [94] sdgoals,cop27p [85] cop27p,ikulumawasliano [77] unfccc,un [77] un,maelezonews [77] venusnyota,mfa_tanzania [77] mfa_tanzania,unep [77] suluhusamia,sdgoals [77] unep,unfccc 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: