The graph represents a network of 15,952 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 Wednesday, 16 November 2022 at 19:07 UTC.
The tweets in the network were tweeted over the 1-day, 21-hour, 33-minute period from Monday, 14 November 2022 at 11:43 UTC to Wednesday, 16 November 2022 at 09:16 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 : 15952
Unique Edges : 43970
Edges With Duplicates : 26818
Total Edges : 70788
Number of Edge Types : 5
Retweet : 11160
MentionsInRetweet : 28569
Mentions : 25345
Replies to : 5517
Tweet : 197
Self-Loops : 339
Reciprocated Vertex Pair Ratio : 0.0190019569471624
Reciprocated Edge Ratio : 0.0372952315108218
Connected Components : 75
Single-Vertex Connected Components : 49
Maximum Vertices in a Connected Component : 15823
Maximum Edges in a Connected Component : 70645
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.548122
Graph Density : 0.000204641100280341
Modularity : 0.490594
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 15,952 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 Wednesday, 16 November 2022 at 19:07 UTC.
The tweets in the network were tweeted over the 1-day, 21-hour, 33-minute period from Monday, 14 November 2022 at 11:43 UTC to Wednesday, 16 November 2022 at 09:16 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:
[1326] climate,change [821] la,cop27p [730] en,la [708] de,la [641] pedrocastillote,cop27p [570] climate,action [527] #cop27,cop27p [492] cop27p,#cop27 [483] civil,society [448] #cop27,live Top Word Pairs in Tweet in G1:
[641] pedrocastillote,cop27p [405] climate,change [342] suzanne_gl,cop27p [321] la,cop27p [280] en,la [241] cop27p,the_ecofeminist [187] cop27p,el [178] pueblos,indígenas [174] contra,la [174] #cop27,#togetherforimplementation Top Word Pairs in Tweet in G2:
[361] climate,change [290] civil,society [267] climate,action [242] #cop27,live [221] #cop27,cop27p [169] cop27p,#cop27 [162] energy,transition [155] climate,crisis [152] ace,civil [144] high,level Top Word Pairs in Tweet in G3:
[157] climate,change [81] cpsavesoil,cop27p [77] cop27p,4per1000 [70] cop27p,unfccc [70] de,la [67] routedurhumeng,sadhgurujv [67] 4per1000,routedurhumeng [66] #savesoil,#cop27 [61] #cop27,#4p1000day [61] #united4land,#missionsoil Top Word Pairs in Tweet in G4:
[178] greenpeace,cmomaharashtra [178] bsdrvs,cop27p [178] cop27p,greenpeace [166] #saynotorefinery,bsdrvs [161] juanma_moreno,cop27p [159] cop27p,marisaortizma [157] euclimateaction,m_ambientegto [156] marisaortizma,andaluciajunta [156] andaluciajunta,euclimateaction [132] cmomaharashtra,dev_fadnavis Top Word Pairs in Tweet in G5:
[225] lula,thief [172] place,prison [172] thief,place [126] prison,lula [122] de,transição [121] depois,da [120] civil,ciro [120] novos,nomes [120] nomes,das [120] da,cop27p Top Word Pairs in Tweet in G6:
[41] pacific,climate [40] loss,damage [39] cop27p,aosischair [37] marking,important [37] aosis,chair [37] #samoa,usembassysamoa [37] important,phase [37] diplomacy,#samoa [37] forumsec,cop27p [37] chair,marking Top Word Pairs in Tweet in G7:
[154] 50,belgium [154] belgium,electricity [154] gas,industry [154] africa,country [154] cop27p,lecturing [154] phaseout,nuclear [154] pursuing,phaseout [154] lng,international [154] minister,tinne [154] tinne,van Top Word Pairs in Tweet in G8:
[196] eamonryan,ldc_portal [196] ldc_portal,cop27p [92] eamonryan,cop27p [58] cop27p,maryrobinsonctr [58] maryrobinsonctr,dept_ecc [30] greenparty_ie,dept_ecc [30] dept_ecc,theelders [30] eamonryan,greenparty_ie [30] theelders,cop27p [27] cop27p,beyondoilgas Top Word Pairs in Tweet in G9:
[139] muslim,hands [93] ministerial,negotiations [88] el,sheikh [88] sharm,el [78] cop27p,sharm [76] ongoing,cop27p [76] foreign,minister [74] syed,lakht [74] al,husnain [74] chairman,muslim Top Word Pairs in Tweet in G10:
[83] birdkeeperrk,refipodcast [82] crinwire,climatedad77 [78] greenisamissio1,birdkeeperrk [78] climatedad77,greenisamissio1 [76] geraldkutney,crinwire [76] cop27p,geraldkutney [69] climate,crisis [68] refipodcast,greenisamissio1 [67] droughts,hitting [67] crisis,hitting Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: