The graph represents a network of 7,461 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 Tuesday, 09 August 2022 at 16:14 UTC.
The tweets in the network were tweeted over the 6-day, 21-hour, 11-minute period from Tuesday, 02 August 2022 at 15:09 UTC to Tuesday, 09 August 2022 at 12:20 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 : 7461
Unique Edges : 15192
Edges With Duplicates : 21169
Total Edges : 36361
Number of Edge Types : 5
Retweet : 13535
MentionsInRetweet : 15072
Mentions : 5134
Tweet : 2182
Replies to : 438
Self-Loops : 2682
Reciprocated Vertex Pair Ratio : 0.0154098917908334
Reciprocated Edge Ratio : 0.0303520615968309
Connected Components : 854
Single-Vertex Connected Components : 575
Maximum Vertices in a Connected Component : 5756
Maximum Edges in a Connected Component : 34090
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.604134
Graph Density : 0.000322014062041292
Modularity : 0.410808
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 7,461 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 Tuesday, 09 August 2022 at 16:14 UTC.
The tweets in the network were tweeted over the 6-day, 21-hour, 11-minute period from Tuesday, 02 August 2022 at 15:09 UTC to Tuesday, 09 August 2022 at 12:20 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:
[8002] #cop27,#ethiopiaprevails [6887] ahead,#cop27 [3162] climate,change [1998] green,economy [1552] #ethiopiaprevails,sdgoals [1470] paris,agreement [1222] #ethiopiaprevails,undpclimate [1093] resilient,green [1027] nationally,determined [1008] build,resilience Top Word Pairs in Tweet in G1:
[236] thematic,days [203] action,agenda [184] presidency's,action [184] #together4implementation,#justandambitious [182] unveiling,#cop27 [182] #cop27,presidency's [182] agenda,thematic [181] days,#together4implementation [179] septembre,2022 [176] barges,rénovées Top Word Pairs in Tweet in G2:
[208] চ,ই [208] ক,ষত [208] ষত,প [208] প,রণ [208] ব,লম [208] লম,ব [169] loss,damage [143] climate,strike [129] strike,feni [129] #climatejustice,#climateactionnow Top Word Pairs in Tweet in G3:
[7944] #cop27,#ethiopiaprevails [6663] ahead,#cop27 [2312] climate,change [1994] green,economy [1549] #ethiopiaprevails,sdgoals [1420] paris,agreement [1218] #ethiopiaprevails,undpclimate [1091] resilient,green [1014] nationally,determined [972] build,resilience Top Word Pairs in Tweet in G4:
[145] namo,app [132] 'life',movement [132] movement,theme [132] theme,india [132] india,pavilion [132] pavilion,cop27 [131] modi's,'life' [129] pm,modi's [106] cop27,namo [59] ahead,cop27 Top Word Pairs in Tweet in G5:
[122] uk,act [115] germany,amp [96] british,embassy [90] used,greenwash [74] amp,uk [73] greenwash,crimes [71] human,rights [70] 17,00 [69] crimes,sisi [69] sisi,regime Top Word Pairs in Tweet in G6:
[61] #cop27,#sdgs [61] #nuclear4climate,#netzeroneedsnuclear [59] over,past [58] international,#climateobjectives [58] #climateobjectives,met [58] met,#nuclear [58] #nuclear,power [58] power,excluded [58] excluded,unece [58] unece,report Top Word Pairs in Tweet in G7:
[94] #auspol,#cop27 [74] carbon,credits [61] albomp,amp [61] amp,bowenchris [57] given,science [57] science,amp [57] amp,state [57] state,earth [57] earth,wrong [57] wrong,australia Top Word Pairs in Tweet in G8:
[124] climate,change [121] breaking,china [121] china,announced [121] announced,halt [121] halt,cooperation [121] cooperation,number [121] number,areas [121] areas,following [121] following,house [121] house,speaker Top Word Pairs in Tweet in G9:
[136] climate,change [130] talks,climate [129] china,suspended [129] suspended,talks [129] change,united [129] united,states [129] states,100 [129] 100,cop27 [129] cop27,coming [129] coming,months Top Word Pairs in Tweet in G10:
[79] global,warming [45] 26,cops [31] stop,global [27] climate,change [24] cops,stop [21] warming,cop27 [20] cop27,scratch [20] scratch,surface [20] surface,global [16] method,stops Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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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:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: