The graph represents a network of 849 Twitter users whose recent tweets contained "COP and Climate", 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, 11 January 2023 at 09:20 UTC.
The tweets in the network were tweeted over the 9-day, 20-hour, 10-minute period from Sunday, 01 January 2023 at 12:54 UTC to Wednesday, 11 January 2023 at 09:05 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 : 849
Unique Edges : 923
Edges With Duplicates : 61
Total Edges : 984
Number of Edge Types : 5
Tweet : 100
Retweet : 491
Replies to : 83
Mentions : 165
MentionsInRetweet : 145
Self-Loops : 107
Reciprocated Vertex Pair Ratio : 0.00945626477541371
Reciprocated Edge Ratio : 0.0187353629976581
Connected Components : 164
Single-Vertex Connected Components : 55
Maximum Vertices in a Connected Component : 275
Maximum Edges in a Connected Component : 290
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 2.30455
Graph Density : 0.00118619019045714
Modularity : 0.823135
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 849 Twitter users whose recent tweets contained "COP and Climate", 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, 11 January 2023 at 09:20 UTC.
The tweets in the network were tweeted over the 9-day, 20-hour, 10-minute period from Sunday, 01 January 2023 at 12:54 UTC to Wednesday, 11 January 2023 at 09:05 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 : COP and Climate
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:
[299] cop,27 [288] loss,damage [265] damage,fund [263] 27,loss [262] opportunity,pakistan [262] case,community [262] pakistan,present [262] endeavor,#climatejustice [262] pakistan,#geneva [262] view,cop Top Word Pairs in Tweet in G1:
[261] keeping,view [261] opportunity,pakistan [261] resilient,pakistan [261] #geneva,great [261] catastrophic,case [261] community,pakistan [261] 27,loss [261] case,community [261] great,opportunity [261] loss,damage Top Word Pairs in Tweet in G2:
[22] climate,change [11] cop,27 [9] #,# [9] 27th,un [8] key,takeaways [8] action,being [8] annual,meeting [8] business,leaders [8] assess,action [8] business,cop27 Top Word Pairs in Tweet in G3:
[29] emissions,rising [29] cop,processes [29] overshoot,mantra [29] urgent,adaptation [29] mantra,current [29] failed,overshoot [29] overshoot,urgent [29] rising,cop [29] adaptation,mitigation [29] system,overshoot Top Word Pairs in Tweet in G4:
[12] wmo,unep [6] unfccc,cop27p [6] remnants,failed [6] unfortunately,infiltrated [6] ipcc_ch,unfccc [6] education,gulags [6] wef,governments [6] wef,wmo [6] unep,remnants [6] failed,east Top Word Pairs in Tweet in G5:
[9] work,mobilize [9] towns,cities [9] scale,reflections [9] cities,regions [9] creative,climate [9] climate,solutions [9] mobilize,support [9] mayboeve,phase [9] identify,work [9] experimenting,creative Top Word Pairs in Tweet in G6:
[14] loss,damage [11] agrees,'loss [11] 'loss,damage' [11] deal,poorer [11] poorer,nations [11] damage',fund [11] nations,cop [11] climate,summit [11] cop,climate [11] historic,deal Top Word Pairs in Tweet in G7:
[17] climate,change [15] world,link [15] terli,terliwetter [15] change,zdf [15] extreme,weather [15] stream,media [15] weather,climate [15] broadcast,world [15] main,stream [15] link,extreme Top Word Pairs in Tweet in G9:
[18] absolute,waste [18] ops,attached [18] waste,time [18] cop,climate [18] time,being [18] fossil,fuels [18] #cop28,credibility [18] throwing,greenwashing [18] conferences,fossil [18] climate,conferences Top Word Pairs in Tweet in G10:
[14] 00,gmt [14] jan,00 [12] advocacy,strategies [12] agroecology,climate [12] solution,grassroots [12] strategies,cop [12] grassroots,advocacy [12] climate,solution [7] defending,indigenous [7] indigenous,territories Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: