The graph represents a network of 15,908 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 Tuesday, 15 November 2022 at 09:09 UTC.
The tweets in the network were tweeted over the 1-day, 21-hour, 26-minute period from Saturday, 12 November 2022 at 07:15 UTC to Monday, 14 November 2022 at 04:41 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 : 15908
Unique Edges : 45063
Edges With Duplicates : 24617
Total Edges : 69680
Number of Edge Types : 5
Replies to : 4911
Mentions : 21351
Retweet : 12358
MentionsInRetweet : 30884
Tweet : 176
Self-Loops : 324
Reciprocated Vertex Pair Ratio : 0.0150808936825886
Reciprocated Edge Ratio : 0.0297136785382236
Connected Components : 80
Single-Vertex Connected Components : 52
Maximum Vertices in a Connected Component : 15782
Maximum Edges in a Connected Component : 69548
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.611738
Graph Density : 0.000208272281150658
Modularity : 0.499252
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 15,908 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 Tuesday, 15 November 2022 at 09:09 UTC.
The tweets in the network were tweeted over the 1-day, 21-hour, 26-minute period from Saturday, 12 November 2022 at 07:15 UTC to Monday, 14 November 2022 at 04:41 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:
[1909] climate,change [1108] sharm,el [1107] el,sheikh [968] cop27p,president [915] president,biden [914] muslim,hands [803] cop27p,unfccc [743] global,climate [730] cop27p,sharm [719] resilience,climate Top Word Pairs in Tweet in G1:
[878] cop27p,president [874] president,biden [693] climate,change [614] resilience,climate [579] global,climate [535] reduce,emissions [533] build,resilience [533] united,states [531] climate,fight [530] help,vulnerable Top Word Pairs in Tweet in G2:
[597] climate,change [284] sameh,shoukry [266] climate,responses [232] #cop27,president [208] هالة,السعيد [203] el,sheikh [200] sharm,el [200] الوزيرة,الدكتورة [200] شرم,الشيخ [200] شرفت,مصر Top Word Pairs in Tweet in G3:
[673] cop27p,unfccc [668] ca4sh_global,cop27p [664] eu_env,euagri [660] euagri,ca4sh_global [648] cpsavesoil,unccd [647] unfccc,cpsavesoil [476] #savesoil,happen [441] mission,soil [441] soil,#cop27 [433] #cop27,reignite Top Word Pairs in Tweet in G4:
[912] muslim,hands [664] el,sheikh [664] sharm,el [621] foreign,minister [620] ongoing,cop27p [620] syed,lakht [620] al,husnain [620] cop27p,sharm [620] chairman,muslim [620] husnain,chairman Top Word Pairs in Tweet in G5:
[126] cop27p,#cop27 [105] climate,change [82] #cop27,efeverdecop [71] de,la [70] #emergenciaclimatica,cop27p [70] efeverdecop,efe_orientemedio [66] unfccc,cop27p [58] daily,coordination [47] 100,people [47] #civilsociety,work Top Word Pairs in Tweet in G6:
[661] globalist,elites [661] plans,destroy [661] finalise,plans [661] elites,finalise [661] livestock,farming [661] destroy,livestock [661] farming,media [661] media,great [661] cop27,globalist [3] cop27p,ftx Top Word Pairs in Tweet in G7:
[93] #humanrightsviolations,#cop27 [93] #unhumanrights,#unhumanrightseu [93] #unhumanrightseu,#ohchr_pacific [93] #ohchr_pacific,#unhrcpr [93] #humanrights,#humanrightsviolations [93] #un_hrc,#unhumanrights [87] climate,change [75] #palestinianlivesmatter,#un_hrc [74] #cop27egypt,cop27p [74] #cop27,#cop27egypt Top Word Pairs in Tweet in G8:
[110] de,la [100] en,la [89] la,cop27p [59] johnkerry,m_ebrard [45] john,kerry [44] presidente,biden [32] acción,climática [32] press,huddle [32] cop27p,johnkerry [32] climateenvoy,cop27p Top Word Pairs in Tweet in G9:
[109] rishisunak,cop27p [53] de,la [43] g20org,eucouncil [43] cop27p,vonderleyen [43] eucouncil,cop27p [43] vonderleyen,rishisunak [43] rishisunak,justintrudeau [30] seat,table [30] stimmo,rishisunak [30] loss,damage Top Word Pairs in Tweet in G10:
[76] implementation,#cop27 [76] #climateaction,mission [76] innovation,ensuring [76] cop27p,monumental [76] moment,#climateaction [76] 2022,implementation [76] forefront,global [76] #cleanenergy,innovation [76] egypt,hosting [76] monumental,moment 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: