The graph represents a network of 11,894 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 Monday, 10 October 2022 at 11:08 UTC.
The tweets in the network were tweeted over the 8-day, 6-hour, 29-minute period from Sunday, 02 October 2022 at 02:41 UTC to Monday, 10 October 2022 at 09:10 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 : 11894
Unique Edges : 36636
Edges With Duplicates : 25196
Total Edges : 61832
Number of Edge Types : 5
MentionsInRetweet : 26696
Mentions : 20899
Retweet : 9327
Replies to : 4315
Tweet : 595
Self-Loops : 712
Reciprocated Vertex Pair Ratio : 0.0166219582295459
Reciprocated Edge Ratio : 0.0327003722376667
Connected Components : 409
Single-Vertex Connected Components : 309
Maximum Vertices in a Connected Component : 11291
Maximum Edges in a Connected Component : 61191
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 2.879031
Graph Density : 0.000300066433687602
Modularity : 0.45584
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 11,894 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 Monday, 10 October 2022 at 11:08 UTC.
The tweets in the network were tweeted over the 8-day, 6-hour, 29-minute period from Sunday, 02 October 2022 at 02:41 UTC to Monday, 10 October 2022 at 09:10 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:
[1659] de,la [1210] coca,cola [930] climate,change [876] sur,le [818] trussliz,cop27p [811] cop27p,cop26 [669] et,de [659] king,charles [628] la,#cop27 [609] royanikkhah,trussliz Top Word Pairs in Tweet in G1:
[542] de,la [468] sophielouisecc,cop27p [280] cop27p,precop27rdc [250] cpd,shoukry [224] pledges,implementation [224] climate,change [215] world,#sharmelsheikh [215] #sharmelsheikh,#climateaction [214] final,countdown [214] #climateaction,pledges Top Word Pairs in Tweet in G2:
[358] climate,change [302] antonioguterres,cop27p [293] badges,cop27 [262] unfccc,antonioguterres [247] african,climate [232] unfccc,cop27p [218] ericdnjuguna,omar_najma [218] omar_najma,lizwathuti [216] vanessa_vash,ericdnjuguna [198] african,activists Top Word Pairs in Tweet in G3:
[411] cop27p,cocacola [263] climate,summit [244] sponsored,cocacola [241] civil,society [236] police,state [236] #cop27,#egypt [235] super,fun [235] fun,climate [235] summit,police [235] state,sponsored Top Word Pairs in Tweet in G4:
[805] trussliz,cop27p [740] cop27p,cop26 [607] royanikkhah,trussliz [537] king,charles [392] attend,cop27p [367] cop27p,month [349] charles,attend [336] lifelong,environmentalist [333] keynote,speech [332] told,king Top Word Pairs in Tweet in G5:
[797] de,la [719] sur,le [550] coca,cola [536] la,pollution [535] la,#cop27 [535] pollution,plastique [535] de,pétrole [535] pétrole,et [535] et,de [535] de,gaz Top Word Pairs in Tweet in G6:
[73] climate,change [39] cop27p,unfccc [24] global,climate [23] de,la [23] climate,action [22] et,de [22] unep_africa,unep [21] reduce,emissions [21] mremae,unbiodiversity [21] unbiodiversity,wef Top Word Pairs in Tweet in G7:
[289] eucouncil,cop27p [282] g20org,eucouncil [282] cop27p,vonderleyen [282] vonderleyen,trussliz [282] trussliz,justintrudeau [279] justintrudeau,passing [279] passing,scale [279] scale,climate [279] climate,devastation [279] devastation,worsens Top Word Pairs in Tweet in G8:
[24] coca,cola [21] de,la [8] sponsor,de [7] la,#cop27 [6] la,cop27 [5] climate,change [5] du,monde [5] vous,faire [5] cambio,climático [5] sur,le Top Word Pairs in Tweet in G9:
[51] dialogue,dialogue [51] dialogue,lots [51] lots,people [51] people,drinking [51] drinking,tea [50] outcome,#lossanddamge [50] #lossanddamge,talks [50] talks,cop27p [50] cop27p,concrete [50] concrete,past Top Word Pairs in Tweet in G10:
[173] cop27p,cop26p [170] cityofedmonton,amarjeetsohiyeg [142] lucy,sanctuary [140] relocate,lucy [138] question,lucy [138] lucy,unable [138] unable,relocate [138] relocate,sanctuary [138] sanctuary,question [138] question,place Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: