The graph represents a network of 3,967 Twitter users whose tweets in the requested range contained "Worldbank (environment OR climate OR warming OR ecological OR planet OR global)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 28 November 2022 at 18:35 UTC.
The requested start date was Monday, 28 November 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 12-day, 4-hour, 36-minute period from Tuesday, 15 November 2022 at 18:24 UTC to Sunday, 27 November 2022 at 23:00 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 : 3967
Unique Edges : 4017
Edges With Duplicates : 11470
Total Edges : 15487
Number of Edge Types : 5
Retweet : 4245
MentionsInRetweet : 7285
Mentions : 3181
Replies to : 224
Tweet : 552
Self-Loops : 580
Reciprocated Vertex Pair Ratio : 0.0120107962213225
Reciprocated Edge Ratio : 0.02373649819976
Connected Components : 166
Single-Vertex Connected Components : 99
Maximum Vertices in a Connected Component : 3616
Maximum Edges in a Connected Component : 15088
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.92117
Graph Density : 0.000476637758227515
Modularity : 0.361327
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 3,967 Twitter users whose tweets in the requested range contained "Worldbank (environment OR climate OR warming OR ecological OR planet OR global)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 28 November 2022 at 18:35 UTC.
The requested start date was Monday, 28 November 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 12-day, 4-hour, 36-minute period from Tuesday, 15 November 2022 at 18:24 UTC to Sunday, 27 November 2022 at 23:00 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 : GraphServerTwitterSearch
Graph Term : Worldbank (environment OR climate OR warming OR ecological OR planet OR global)
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:
[589] climate,change [447] worldbank,group [303] climate,action [299] address,climate [296] group,delivered [296] delivered,record [295] help,countries [288] countries,address [287] fiscal,year [286] year,2022 Top Word Pairs in Tweet in G1:
[224] global,crises [221] worldbank,group [217] high,food [217] record,high [217] food,energy [217] action,young [217] young,people [217] prices,triggered [217] energy,prices [217] triggered,global Top Word Pairs in Tweet in G2:
[155] climate,action [153] secyellen,drtedros [153] jokowi,secyellen [150] davidmalpasswbg,jokowi [148] launched,g20org [147] worldbank,pandemic_fund [147] g20org,sunday [147] sunday,davidmalpasswbg [147] pandemic_fund,launched [144] drtedros,leade Top Word Pairs in Tweet in G3:
[80] climate,change [73] worldbank,group [55] climate,action [40] ghg,emissions [37] wbg_climate,worldbank [37] country,#climateanddevelopment [37] learn,more [34] world,bank [31] bank,group [29] #climateanddevelopment,reports Top Word Pairs in Tweet in G4:
[34] climate,finance [26] global,food [21] climate,change [17] mithika_mwenda,worldbank [17] role,intermediary [17] finance,pacja1 [17] ipos,accessing [17] accessing,climate [17] pacja1,mithika_mwenda [17] organizations,cso's Top Word Pairs in Tweet in G5:
[100] global,efforts [100] confront,climate [100] govts,together [100] bring,govts [100] #cop27,bring [100] climate,crisis [100] efforts,confront [100] together,accelerate [100] accelerate,global [70] crisis,please Top Word Pairs in Tweet in G6:
[144] malnourished,child [144] child,estimated [144] estimated,12 [144] 12,times [144] conflict,malnourished [144] following,conflict [144] more,die [144] tigray,following [144] times,more [144] die,well Top Word Pairs in Tweet in G7:
[18] climate,change [17] worldbankwater,#climatechange [16] #utilities,worldwide [14] global,poverty [14] infrastructure,everywhere [14] everywhere,utilities [14] utilities,build [14] continues,burden [14] impact,continues [14] #climatechange,impact Top Word Pairs in Tweet in G8:
[39] climate,change [16] income,countries [12] resilient,inclusive [11] green,resilient [11] climate,resilient [11] changing,climate [11] cities,climate [11] middle,income [10] nature,based [10] cities,green Top Word Pairs in Tweet in G9:
[23] climate,change [16] world,bank [6] india,global [4] green,resilient [4] resilient,inclusive [4] changing,climate [4] goes,against [4] #imf,#worldbank [3] due,climate [3] #worldbank,work Top Word Pairs in Tweet in G10:
[13] climate,change [11] million,students [11] climate,action [11] 2030,mamtamurthi [11] 380,million [11] 220,380 [11] global,enrollment [11] know,global [11] #highereducation,grow [11] students,2030 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: