The graph represents a network of 16,716 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 Friday, 11 November 2022 at 19:10 UTC.
The tweets in the network were tweeted over the 1-day, 6-hour, 20-minute period from Thursday, 10 November 2022 at 11:22 UTC to Friday, 11 November 2022 at 17:43 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 : 16716
Unique Edges : 48474
Edges With Duplicates : 27658
Total Edges : 76132
Number of Edge Types : 5
Retweet : 12392
MentionsInRetweet : 36236
Mentions : 23223
Replies to : 4123
Tweet : 158
Self-Loops : 288
Reciprocated Vertex Pair Ratio : 0.0187013631609735
Reciprocated Edge Ratio : 0.0367160854736549
Connected Components : 57
Single-Vertex Connected Components : 35
Maximum Vertices in a Connected Component : 16604
Maximum Edges in a Connected Component : 76014
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.531564
Graph Density : 0.000205677762772239
Modularity : 0.499543
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 16,716 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 Friday, 11 November 2022 at 19:10 UTC.
The tweets in the network were tweeted over the 1-day, 6-hour, 20-minute period from Thursday, 10 November 2022 at 11:22 UTC to Friday, 11 November 2022 at 17:43 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:
[1492] climate,change [1445] sharm,el [1426] el,sheikh [1366] de,la [722] cop27p,en [701] en,sharm [696] derroche,de [689] sheikh,egipto [688] lesa,humanidad [688] de,lesa Top Word Pairs in Tweet in G1:
[368] #cop27,#togetherforimplementation [334] future,generations [322] climate,change [283] youth,future [268] climate,crisis [249] youth,climate [241] opening,ceremony [240] people,poverty [217] #cop27,live [215] unfccc,cop27p Top Word Pairs in Tweet in G2:
[225] climate,change [84] world,leaders [74] pavilion,cop27p [69] cop27p,#cop27 [62] sharm,el [62] el,sheikh [62] de,la [61] gcadaptation,cop27p [56] climate,crisis [56] supply,chain Top Word Pairs in Tweet in G3:
[106] #un_hrc,#unhumanrights [103] #humanrightsviolations,#cop27 [103] #unhumanrights,#unhumanrightseu [103] #unhumanrightseu,#ohchr_pacific [103] #ohchr_pacific,#unhrcpr [103] #humanrights,#humanrightsviolations [91] #cop27egypt,cop27p [90] #cop27,#cop27egypt [89] #palestinianlivesmatter,#un_hrc [74] #cop27,#betterwithforests Top Word Pairs in Tweet in G4:
[297] cop27p,euromedrights [246] #egypt,#sharmelsheikh [236] لقمة,المناخ [233] غير,مرحب [231] في,مصر [230] لحقوق,الإنسان [230] مصر,cop27p [230] واخباره,انه [230] القاهرة,ترفض [230] مرحب,به Top Word Pairs in Tweet in G5:
[266] climate,change [244] climate,development [220] sacep_org,cop27p [171] sharm,el [171] sidelines,#cop27 [171] good,meeting [171] shukrey,cop27p [171] meeting,fm [171] fm,shukrey [171] el,sheikh Top Word Pairs in Tweet in G6:
[456] #savesoil,happen [446] cop27p,cpsavesoil [423] happen,sg [385] ca4sh_global,cop27p [374] cop27p,unfccc [374] eu_env,euagri [374] euagri,ca4sh_global [370] cpsavesoil,unccd [370] unfccc,cpsavesoil [351] cifor,ca4sh_global Top Word Pairs in Tweet in G7:
[887] de,la [696] derroche,de [688] lesa,humanidad [688] de,lesa [687] investigado,por [685] en,aviones [685] 9654,34 [685] egipto,27 [685] en,sharm [685] fue,cop27p Top Word Pairs in Tweet in G8:
[51] climate,change [45] de,la [35] g20org,eucouncil [35] eucouncil,cop27p [35] vonderleyen,rishisunak [35] rishisunak,justintrudeau [35] cop27p,vonderleyen [34] en,el [32] a_lisacorrado,robdellaseta [32] franferrante,a_lisacorrado Top Word Pairs in Tweet in G9:
[102] #cop27,cop27p [99] global,carbon [65] clean,energy [62] accelerating,clean [62] energy,projects [61] cop27p,ibm [60] cohort,ibm [60] sustainability,accelerator [60] announced,cohort [60] focus,accelerating Top Word Pairs in Tweet in G10:
[265] para,clima [265] john,kerry [264] kerry,cop27p [264] eleita,marinasilva [264] aqui,#autoridadeclimatica [264] função,parecida [264] especial,presidente [264] brasil,poderá [264] assessor,especial [264] por,aqui Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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 G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G9:
Top Tweeters in G10: