The graph represents a network of 14,471 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, 24 October 2022 at 11:27 UTC.
The tweets in the network were tweeted over the 2-day, 16-hour, 55-minute period from Friday, 21 October 2022 at 15:43 UTC to Monday, 24 October 2022 at 08:39 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 : 14471
Unique Edges : 27499
Edges With Duplicates : 11280
Total Edges : 38779
Number of Edge Types : 5
Retweet : 14375
MentionsInRetweet : 15719
Mentions : 5205
Replies to : 705
Tweet : 2775
Self-Loops : 2937
Reciprocated Vertex Pair Ratio : 0.0159568847088661
Reciprocated Edge Ratio : 0.0314125234033701
Connected Components : 1403
Single-Vertex Connected Components : 840
Maximum Vertices in a Connected Component : 11550
Maximum Edges in a Connected Component : 35021
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.904721
Graph Density : 0.000137739435212918
Modularity : 0.599059
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 14,471 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, 24 October 2022 at 11:27 UTC.
The tweets in the network were tweeted over the 2-day, 16-hour, 55-minute period from Friday, 21 October 2022 at 15:43 UTC to Monday, 24 October 2022 at 08:39 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 : 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:
[2590] climate,change [1240] egypt,cop27 [1208] pr,firm [1207] oil,gas [1198] hill,knowlton [1140] big,tobacco [1136] climate,initiative [1136] gas,climate [1104] industry,group [1103] worked,big Top Word Pairs in Tweet in G1:
[877] climate,change [479] african,youth [311] human,rights [298] petition,urging [284] climate,justice [233] funding,alert [231] actively,involved [231] knowledge,experience [231] inviting,african [231] youth,knowledge Top Word Pairs in Tweet in G2:
[772] climate,change [503] african,youth [251] funding,alert [251] alert,african [251] involved,climate [251] change,initiatives [247] change,issues [246] actively,involved [246] knowledge,experience [246] experience,climate Top Word Pairs in Tweet in G3:
[962] egypt,cop27 [957] hill,knowlton [950] big,tobacco [950] oil,gas [949] pr,firm [947] gas,climate [947] climate,initiative [933] firm,hired [933] hired,egypt [933] cop27,hill Top Word Pairs in Tweet in G4:
[58] climate,change [55] #climatechange,#cop27 [52] #10daysagainstclimatechange,#climatechange [40] la,cop27 [36] guessed,#10daysagainstclimatechange [33] المناخ,cop27 [31] de,la [30] climate,summit [28] sharm,el [27] pr,firm Top Word Pairs in Tweet in G5:
[415] المناخ,cop27 [395] الجارديان,البريطانية [395] للسخرية,من [395] نظام,بوليسي [395] من,قرية [395] بوليسي,قمعي [395] محاولة,لغسيل [395] مقرا,لقمة [395] لقمة,المناخ [395] أن,القمة Top Word Pairs in Tweet in G6:
[352] #climate,#energy [343] shipping,container [343] bring,#solar [343] remote,location [343] #actonclimate,#climatecrisis [343] unfolds,shipping [343] #renewables,#renewableenergy [343] #solar,remote [343] #climatecrisis,#climate [343] implement,#actonclimate Top Word Pairs in Tweet in G7:
[286] cambio,climático [249] en,la [244] la,cop27 [201] la,cumbre [198] colombia,en [198] de,colombia [193] temperatura,del [193] de,cambio [193] de,te [193] representar,colombia Top Word Pairs in Tweet in G8:
[164] fossil,fuel [149] european,parliament [149] fuel,proliferation [149] proliferation,treaty [145] states,work [145] parliament,called [145] global,push [145] breaking,european [145] developing,fossil [145] formal,#cop27 Top Word Pairs in Tweet in G9:
[119] lewispugh,swimming [103] red,sea [102] oceans,lewispugh [102] swimming,red [102] patron,oceans [65] global,climate [62] struggling,line [62] ssh,reefs [62] sea,highlight [62] un,patron Top Word Pairs in Tweet in G10:
[105] climate,change [69] climate,action [63] adaptation,finance [41] action,student [41] support,sustainable [41] student,projects [41] reflecting,lasting [41] lasting,local [41] local,legacy [41] sustainable,city 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: