The graph represents a network of 14,237 Twitter users whose recent tweets contained "cop27", 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, 26 September 2022 at 22:40 UTC.
The tweets in the network were tweeted over the 4-day, 8-hour, 46-minute period from Thursday, 22 September 2022 at 11:48 UTC to Monday, 26 September 2022 at 20:35 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 : 14237
Unique Edges : 32124
Edges With Duplicates : 10132
Total Edges : 42256
Number of Edge Types : 5
Retweet : 13923
MentionsInRetweet : 15571
Mentions : 10102
Tweet : 2191
Replies to : 469
Self-Loops : 2292
Reciprocated Vertex Pair Ratio : 0.0174559851234216
Reciprocated Edge Ratio : 0.034313002977331
Connected Components : 1094
Single-Vertex Connected Components : 631
Maximum Vertices in a Connected Component : 11945
Maximum Edges in a Connected Component : 39168
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.33017
Graph Density : 0.000167373920116769
Modularity : 0.622306
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 14,237 Twitter users whose recent tweets contained "cop27", 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, 26 September 2022 at 22:40 UTC.
The tweets in the network were tweeted over the 4-day, 8-hour, 46-minute period from Thursday, 22 September 2022 at 11:48 UTC to Monday, 26 September 2022 at 20:35 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 : cop27
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:
[4479] loss,damage [1779] #lossanddamage,#payup4lossanddamage [1753] damage,cop27 [1739] countries,commit [1735] funding,loss [1719] commit,funding [1717] ministers,world [1717] world,richest [1717] richest,countries [1715] watch,ask Top Word Pairs in Tweet in G1:
[1842] loss,damage [530] finance,facility [414] world,leaders [388] damage,finance [379] 45,#cop27 [378] finance,adaptation [365] adaptation,loss [361] #cop27,#unga [361] climate,change [359] climate,havoc Top Word Pairs in Tweet in G2:
[1610] loss,damage [1559] ministers,world [1559] world,richest [1559] richest,countries [1557] watch,ask [1557] ask,ministers [1557] countries,commit [1557] commit,funding [1557] funding,loss [1557] damage,cop27 Top Word Pairs in Tweet in G3:
[322] loss,damage [214] climate,action [176] adaptation,finance [170] #cop27,cop27p [169] 40,#cop27 [168] action,calendar [167] cop27p,climate [167] calendar,dedicated [167] dedicated,theme [167] theme,include Top Word Pairs in Tweet in G4:
[711] sameh,shoukry [707] hosting,#cop27 [701] pleased,meet [701] meet,sameh [701] shoukry,mfaegypt [701] mfaegypt,fm [701] fm,egypt [701] egypt,#unga [701] #unga,sidelines [701] sidelines,discussed Top Word Pairs in Tweet in G5:
[851] funding,facility [847] g20org,eucouncil [847] eucouncil,cop27p [847] cop27p,vonderleyen [847] vonderleyen,trussliz [847] trussliz,justintrudeau [847] facility,provide [847] provide,#lossanddamage [847] #lossanddamage,support [846] justintrudeau,passing Top Word Pairs in Tweet in G6:
[90] renewable,energy [85] #agroecology4climate,#cop27 [83] climate,change [67] good,news [52] news,#cop27 [52] #cop27,worldwide [52] worldwide,renewable [52] energy,employment [52] employment,reached [52] reached,12 Top Word Pairs in Tweet in G7:
[125] climate,change [47] compensation,cop27 [46] protests,demand [36] la,cop27 [34] global,climate [32] climate,summit [30] de,la [29] human,rights [25] open,letter [25] change,protests Top Word Pairs in Tweet in G8:
[87] climate,change [61] climate,action [55] action,climate [39] young,activists [39] activists,rallied [39] rallied,climate [37] climate,justice [37] climate,talks [36] action,world [33] loss,damage Top Word Pairs in Tweet in G9:
[97] de,las [96] costa,rica [93] la,#cop27 [89] ministros,de [83] las,américas [82] en,la [71] en,costa [66] de,#agricultura [64] #agricultura,de [64] cambio,climático Top Word Pairs in Tweet in G10:
[94] loss,damage [74] climate,change [64] world,bank [64] bank,head [64] head,david [64] david,malpass [64] malpass,deny [64] deny,climate [64] change,week [64] week,missed Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G7:
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Top Tweeters in G10: