The graph represents a network of 2,316 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 Tuesday, 03 January 2023 at 21:31 UTC.
The tweets in the network were tweeted over the 1-day, 10-hour, 31-minute period from Monday, 02 January 2023 at 10:20 UTC to Tuesday, 03 January 2023 at 20:51 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 : 2316
Unique Edges : 2923
Edges With Duplicates : 905
Total Edges : 3828
Number of Edge Types : 5
Retweet : 1411
Tweet : 542
Replies to : 129
MentionsInRetweet : 920
Mentions : 826
Self-Loops : 564
Reciprocated Vertex Pair Ratio : 0.0144927536231884
Reciprocated Edge Ratio : 0.0285714285714286
Connected Components : 495
Single-Vertex Connected Components : 170
Maximum Vertices in a Connected Component : 501
Maximum Edges in a Connected Component : 1299
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.530948
Graph Density : 0.000522238013705018
Modularity : 0.745017
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2,316 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 Tuesday, 03 January 2023 at 21:31 UTC.
The tweets in the network were tweeted over the 1-day, 10-hour, 31-minute period from Monday, 02 January 2023 at 10:20 UTC to Tuesday, 03 January 2023 at 20:51 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:
[229] de,la [221] climate,change [180] la,#cop27 [147] en,la [125] la,cop27 [100] loss,damage [87] #cop27,#cleanairforall [87] #cleanairforall,#theairweshare [78] macron,est [77] rapport,du Top Word Pairs in Tweet in G1:
[17] climate,change [14] #国会,#sdgs [14] 今日のイベント,#cop27 [14] #cop27,#大阪万博 [14] ヒントは,今日のイベント [14] #気候変動,#お金 [14] サステナブルアンバサダーになった方には,アマギフ1万円分を差し上げます [14] #お金,#限定 [14] アマギフ1万円分を差し上げます,ヒントは [14] loss,damage Top Word Pairs in Tweet in G2:
[19] climate,change [15] loss,damage [14] #cop27,egypt [12] vulnerable,nations [11] climate,justice [10] funding,vulnerable [10] agreed,provide [10] countries,agreed [10] closed,breakthrough [10] provide,funding Top Word Pairs in Tweet in G3:
[22] climate,change [14] loss,damage [9] announced,major [9] scaling,investments [9] protect,forests [9] home,planet [9] major,scaling [9] ueencentroamerica,announced [9] support,indigenous [9] planet,biodiversity Top Word Pairs in Tweet in G4:
[29] climate,change [28] learn,#climateaction [28] sustainable,#agrifood [28] systems,#cop27 [28] threatens,#righttofood [28] human,rights [28] #climateaction,based [28] #agrifood,systems [28] based,human [28] ensure,sustainable Top Word Pairs in Tweet in G5:
[87] #cleanairforall,#theairweshare [87] #cop27,#cleanairforall [33] read,#cop27 [30] placing,greatest [30] indo,gangetic [30] highest,concerning [30] intensity,highest [30] population,density [30] efforts,indo [30] #airpollution,placing Top Word Pairs in Tweet in G6:
[77] la,cop27 [76] après,la [76] mais,vraiment [76] news,l'élysée [76] rapport,du [76] et,en [76] bref,de [76] cop27,bref [76] pu,prédire [76] né,ans Top Word Pairs in Tweet in G7:
[64] また日本だけ騙されてるのか,sdgsとかecoとかも茶番過ぎるだろ [64] sdgsとかecoとかも茶番過ぎるだろ,気付け日本人 [64] 欧米はそもそもガソリン車無くす気無いだろ,日本だけクソ真面目co2減らしてcop27ではまさかの化石賞受賞 [64] 日本だけクソ真面目co2減らしてcop27ではまさかの化石賞受賞,また日本だけ騙されてるのか Top Word Pairs in Tweet in G8:
[26] issues,#upscprelims [26] environment,conservation [26] channel,kindly [26] kindly,retweet [26] #cop27,join [26] retweet,help [26] join,official [26] gs,paper [26] conservation,related [26] telegram,channel Top Word Pairs in Tweet in G9:
[27] bet,nicolasturgeon [27] nicolasturgeon,mentioned [27] mentioned,#cop27 [7] global,south [6] power,choice [6] climate,crisis [4] jobs,global [4] energy,transition [4] moment,energy [4] convening,moment Top Word Pairs in Tweet in G10:
[127] la,#cop27 [106] en,la [84] de,la [49] de,venezuela [48] en,el [43] de,nuestro [37] venezuela,en [33] nuestro,partido [31] en,egipto [28] por,la Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G9:
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 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: