The graph represents a network of 15,742 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 Sunday, 30 October 2022 at 11:46 UTC.
The tweets in the network were tweeted over the 7-day, 13-hour, 36-minute period from Saturday, 22 October 2022 at 20:29 UTC to Sunday, 30 October 2022 at 10:05 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 : 15742
Unique Edges : 50531
Edges With Duplicates : 25573
Total Edges : 76104
Number of Edge Types : 5
Retweet : 11576
MentionsInRetweet : 33285
Replies to : 5480
Mentions : 25622
Tweet : 141
Self-Loops : 285
Reciprocated Vertex Pair Ratio : 0.0143634347494629
Reciprocated Edge Ratio : 0.0283200956529166
Connected Components : 47
Single-Vertex Connected Components : 36
Maximum Vertices in a Connected Component : 15679
Maximum Edges in a Connected Component : 76038
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.405154
Graph Density : 0.000236264016848585
Modularity : 0.478963
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 15,742 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 Sunday, 30 October 2022 at 11:46 UTC.
The tweets in the network were tweeted over the 7-day, 13-hour, 36-minute period from Saturday, 22 October 2022 at 20:29 UTC to Sunday, 30 October 2022 at 10:05 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:
[4931] rishisunak,cop27p [4485] climate,change [2693] domestic,issues [2669] pressing,issue [2661] bigger,pressing [2658] pressing,domestic [2657] issue,facing [2652] facing,domestically [2650] domestically,climate [2649] cop27p,concentrate Top Word Pairs in Tweet in G1:
[4831] rishisunak,cop27p [3073] climate,change [2632] domestic,issues [2608] pressing,issue [2600] bigger,pressing [2597] pressing,domestic [2594] issue,facing [2591] facing,domestically [2589] domestically,climate [2588] cop27p,concentrate Top Word Pairs in Tweet in G2:
[828] climate,change [487] african,youth [410] loss,damage [277] world,leaders [276] attend,cop27p [256] cop27p,unfccc [237] cop27p,apply [237] change,issues [234] actively,involved [234] funding,alert Top Word Pairs in Tweet in G3:
[126] petition,urging [113] alsisiofficial,cop27p [107] cityofedmonton,amarjeetsohiyeg [103] gtoronro,ualberta [103] rupertevelyn,bbcworld [103] leodicaprio,ab_enviro [103] bbcworld,dailymirror [103] dailymirror,metrouk [103] ab_enviro,cop27p [103] youralberta,leodicaprio Top Word Pairs in Tweet in G4:
[230] g20org,cop27p [139] save,lives [136] climate,crisis [128] #cop27,deliver [128] scale,climate [128] worsens,funding [128] provide,loss [128] passing,scale [128] facility,provide [128] eucouncil,cop27p Top Word Pairs in Tweet in G5:
[357] climate,energyatstate [357] lffriedman,climate [357] state_e,lffriedman [357] johnkerry,statedept [357] washtimes,johnkerry [357] cop27p,state_e [357] statedept,cop27p [357] mfa_russia,washtimes [357] energyatstate,wsj [356] rusembusa,mfa_russia Top Word Pairs in Tweet in G6:
[664] climate,plans [332] cop27p,22 [332] assessed,climate [332] met,deadline [332] unfccc,assessed [332] plans,cop27p [332] countries,asked [332] plans,findings [332] asked,submit [332] submit,climate Top Word Pairs in Tweet in G7:
[266] fossiltreaty,tessakhan [266] tessakhan,wcl_news [213] prime,minister [212] #climateemergency,crystal [212] message,sending [212] cop27p,king [212] minister,cop27p [212] crystal,action [212] sort,message [212] cop27p,sort Top Word Pairs in Tweet in G8:
[107] en,la [55] acción,climática [48] de,la [48] para,fortalecer [45] fortalecer,la [45] la,agricultura [43] diálogo,regional [43] oportunidades,para [43] faoclimate,cop27p [43] américa,latina Top Word Pairs in Tweet in G9:
[166] bbcjamescook,nicolasturgeon [153] nicolasturgeon,cop27p [147] chrislawsnp,bbcjamescook [23] harmfulhobbit,chrislawsnp [18] utter,disgrace [16] biggest,challenge [15] challenge,lives [14] mp,group [14] group,attending [14] lives,cop27p Top Word Pairs in Tweet in G10:
[83] contramão,acordo [83] de,paris [83] antiministro,salles [83] de,gases [83] estufa,contramão [83] climática,concebida [83] salles,permite [83] pedalada,climática [83] concebida,época [83] época,antiministro 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: