The graph represents a network of 12,244 Twitter users whose recent tweets contained "cop27", 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, 11 September 2022 at 23:30 UTC.
The tweets in the network were tweeted over the 8-day, 7-hour, 18-minute period from Saturday, 03 September 2022 at 14:13 UTC to Sunday, 11 September 2022 at 21:32 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 : 12244
Unique Edges : 20684
Edges With Duplicates : 10144
Total Edges : 30828
Number of Edge Types : 5
Retweet : 13478
Tweet : 3261
MentionsInRetweet : 9764
Mentions : 3584
Replies to : 741
Self-Loops : 3411
Reciprocated Vertex Pair Ratio : 0.0304927206335657
Reciprocated Edge Ratio : 0.059180855959503
Connected Components : 1454
Single-Vertex Connected Components : 952
Maximum Vertices in a Connected Component : 9260
Maximum Edges in a Connected Component : 27001
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.128877
Graph Density : 0.000144960125358688
Modularity : 0.581363
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 12,244 Twitter users whose recent tweets contained "cop27", 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, 11 September 2022 at 23:30 UTC.
The tweets in the network were tweeted over the 8-day, 7-hour, 18-minute period from Saturday, 03 September 2022 at 14:13 UTC to Sunday, 11 September 2022 at 21:32 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 : cop27
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 Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2238] climate,change [1049] ahead,#cop27 [664] adaptation,summit [659] africa,adaptation [570] united,nations [442] cop27,climate [436] world,leaders [431] nicola,sturgeon [429] york,cop27 [427] nations,york Top Word Pairs in Tweet in G1:
[505] climate,change [503] ahead,#cop27 [230] #lossanddamage,finance [225] world,leaders [218] secretary,general [211] #cop27,#togetherforimplementation [197] agenda,#cop27 [196] #climateaction,#cop27 [180] action,plan [178] reality,#climatecrisis Top Word Pairs in Tweet in G2:
[502] adaptation,summit [481] africa,adaptation [408] 05,09 [318] l'adaptation,afrique [291] #gca2022,#cop27 [271] #rdc,#gca2022 [268] 09,2022 [261] summit,#gca2022 [240] #cop27,#criseclimatique [237] 2022,#rotterdam Top Word Pairs in Tweet in G3:
[94] climate,change [80] ahead,cop27 [74] #cop27,#di [73] pope,francis [73] #30dayswiththepope,#rome [72] francis,begins [72] begins,cycle [72] cycle,catechesis [72] catechesis,discernment [72] discernment,pope Top Word Pairs in Tweet in G4:
[431] united,nations [425] excl,nicola [425] nicola,sturgeon [425] nations,york [425] york,cop27 [425] prompting,fresh [425] fresh,claims [283] first,minister [281] key,responsibilities [280] cop27,cairo Top Word Pairs in Tweet in G5:
[330] climate,change [242] impacts,climate [226] already,seeing [226] seeing,impacts [226] change,globe [226] globe,together [226] together,alter [226] alter,course [226] course,months [226] months,until Top Word Pairs in Tweet in G6:
[225] loss,damage [200] damage,cop27 [196] richest,countries [194] watch,happens [194] ask,ministers [194] ministers,world [194] world,richest [194] countries,commit [194] commit,funding [194] funding,loss Top Word Pairs in Tweet in G7:
[147] host,#cop27 [117] another,scene [117] scene,destruction [117] destruction,#cairo [117] #cairo,couple [117] couple,hours [117] hours,ago [117] ago,nile [117] nile,bank [117] bank,along Top Word Pairs in Tweet in G8:
[81] climate,change [68] ban,ki [68] ki,moon [64] ahead,#cop27 [49] deputy,director [49] director,general [43] general,amyepope [41] impact,climate [38] #egypt,ahead [38] #cop27,message Top Word Pairs in Tweet in G9:
[91] climate,change [89] #lossanddamage,finance [89] agenda,#cop27 [88] 400,organisations [88] ensure,#lossanddamage [88] finance,formal [88] formal,agenda [87] important,news [87] news,over [87] over,400 Top Word Pairs in Tweet in G10:
[156] coal,mine [110] #auspol,#cop27 [100] #ecocide,#cop27 [78] nsw,coal [78] mine,gets [78] gets,green [78] green,light [78] light,continue [78] continue,operating [78] operating,until 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:
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Top Tweeters in G10: