The graph represents a network of 5,907 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, 28 September 2022 at 00:57 UTC.
The tweets in the network were tweeted over the 8-day, 15-hour, 29-minute period from Monday, 19 September 2022 at 08:41 UTC to Wednesday, 28 September 2022 at 00:10 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 : 5907
Unique Edges : 22621
Edges With Duplicates : 14240
Total Edges : 36861
Number of Edge Types : 5
Retweet : 4137
MentionsInRetweet : 16797
Tweet : 72
Mentions : 14862
Replies to : 993
Self-Loops : 127
Reciprocated Vertex Pair Ratio : 0.0179373965150201
Reciprocated Edge Ratio : 0.035242631966229
Connected Components : 19
Single-Vertex Connected Components : 12
Maximum Vertices in a Connected Component : 5881
Maximum Edges in a Connected Component : 36832
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.47992
Graph Density : 0.000740137901097213
Modularity : 0.446585
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 5,907 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, 28 September 2022 at 00:57 UTC.
The tweets in the network were tweeted over the 8-day, 15-hour, 29-minute period from Monday, 19 September 2022 at 08:41 UTC to Wednesday, 28 September 2022 at 00:10 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:
[1533] loss,damage [1307] climate,crisis [1235] g20org,eucouncil [1235] cop27p,vonderleyen [1234] eucouncil,cop27p [1234] vonderleyen,trussliz [1234] trussliz,justintrudeau [1220] #cop27,deliver [1219] funding,facility [1219] facility,provide Top Word Pairs in Tweet in G1:
[1249] loss,damage [535] finance,facility [432] #lossanddamage,action [424] polluters,pay [338] action,loss [293] sameh,shoukry [252] agenda,cop27p [240] cop27p,agenda [238] damage,agenda [236] damage,finance Top Word Pairs in Tweet in G2:
[1235] g20org,eucouncil [1235] cop27p,vonderleyen [1234] eucouncil,cop27p [1234] vonderleyen,trussliz [1234] trussliz,justintrudeau [1219] funding,facility [1219] facility,provide [1219] provide,#lossanddamage [1219] #lossanddamage,support [1218] passing,scale Top Word Pairs in Tweet in G3:
[278] #cop27,cop27p [263] climate,action [251] 40,#cop27 [248] action,calendar [246] cop27p,climate [246] calendar,dedicated [246] dedicated,theme [246] theme,include [246] include,transport [246] transport,adaptation Top Word Pairs in Tweet in G4:
[140] la,ministra [140] ministra,maisa_rojas [140] pérdidas,daños [138] la,cop27p [134] en,la [134] cambio,climático [133] maisa_rojas,junto [133] junto,la [133] la,comisionada [133] comisionada,del Top Word Pairs in Tweet in G5:
[74] de,las [67] agricultura,de [59] la,agricultura [58] de,la [56] las,américas [54] costa,rica [40] de,agricultura [40] ministros,de [40] de,30 [40] 30,países Top Word Pairs in Tweet in G6:
[44] climate,action [42] climate,crisis [27] human,crisis [23] crisis,human [18] fossil,fuels [17] sdg,13 [17] 13,14 [17] indicator,targets [15] wild,life [15] eacop,endangering Top Word Pairs in Tweet in G7:
[31] de,la [22] macky_sall,amadou_ba_ [22] pr_senegal,cop27p [21] #globalclimatestrike,macky_sall [17] en,rdc [17] bloc,pétrolier [17] pétrolier,et [12] la,#cop27 [12] la,cop27p [12] cop27p,#afrikavuka Top Word Pairs in Tweet in G8:
[8] reminding,#mahatmagandhi [8] #mahatmagandhi,change [8] change,wish [8] wish,world [8] world,change [8] change,driven [8] driven,individually [8] individually,promote [8] promote,#sustainability [8] #sustainability,#circulareconomy Top Word Pairs in Tweet in G9:
[64] petition,urging [33] alsisiofficial,cop27p [32] stand,solidarity [32] solidarity,prisoners [32] egypt,joined [32] joined,copcivicspace [32] copcivicspace,petition [32] urging,#egypt [32] #egypt,open [32] open,civic Top Word Pairs in Tweet in G10:
[65] cop27p,concern [65] concern,irish_aid [65] irish_aid,oxfamireland [65] oxfamireland,oxfaminke [65] oxfaminke,namatikenya [65] namatikenya,ajws [65] ajws,ifad [65] ifad,globalnamati [62] worst,continuing [62] continuing,drought 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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