The graph represents a network of 3,326 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, 06 December 2021 at 17:50 UTC.
The requested start date was Monday, 06 December 2021 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 13-day, 22-hour, 46-minute period from Monday, 22 November 2021 at 01:19 UTC to Monday, 06 December 2021 at 00:06 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 : 3326
Unique Edges : 2516
Edges With Duplicates : 10199
Total Edges : 12715
Number of Edge Types : 5
Retweet : 3156
MentionsInRetweet : 4608
Mentions : 4146
Replies to : 379
Tweet : 426
Self-Loops : 484
Reciprocated Vertex Pair Ratio : 0.015185601799775
Reciprocated Edge Ratio : 0.0299168975069252
Connected Components : 108
Single-Vertex Connected Components : 48
Maximum Vertices in a Connected Component : 2954
Maximum Edges in a Connected Component : 11958
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.28902
Graph Density : 0.000489648655613779
Modularity : 0.350201
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 3,326 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, 06 December 2021 at 17:50 UTC.
The requested start date was Monday, 06 December 2021 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 13-day, 22-hour, 46-minute period from Monday, 22 November 2021 at 01:19 UTC to Monday, 06 December 2021 at 00:06 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:
[585] soil,health [584] #soilchallenge,#nosoilnolife [584] #nosoilnolife,restoring [584] restoring,soil [584] health,highest [584] highest,priority [584] priority,save [583] rallyforrivers,#soilchallenge [583] save,plan [426] climate,change Top Word Pairs in Tweet in G1:
[180] climate,change [64] solar,power [64] power,helped [64] helped,shaving [64] shaving,machine [64] machine,job [64] job,see [64] see,grid [64] grid,renewable [64] renewable,energy Top Word Pairs in Tweet in G2:
[585] soil,health [584] #soilchallenge,#nosoilnolife [584] #nosoilnolife,restoring [584] restoring,soil [584] health,highest [584] highest,priority [584] priority,save [583] rallyforrivers,#soilchallenge [583] save,plan [15] fao,unccd Top Word Pairs in Tweet in G3:
[160] climate,change [83] learn,more [78] world,bank [44] climate,learn [38] bank,group [38] water,related [37] #bahamas,#belize [37] #belize,#mozambique [37] #mozambique,countries [37] countries,vulnerable Top Word Pairs in Tweet in G4:
[99] unicef,unesco [76] state,global [72] worldbank,unicef [61] global,#education [50] #education,crisis [47] dec,learn [47] learn,joint [47] joint,report [47] report,charts [47] charts,path Top Word Pairs in Tweet in G5:
[279] #cop26glasgow,debate [279] debate,climate [279] climate,matters [279] matters,injustices [279] injustices,uganda [279] uganda,ignored [279] ignored,gross [279] gross,human [278] worldbank,#cop26glasgow [253] human,rights Top Word Pairs in Tweet in G6:
[15] wbg_health,#covid19 [14] heifer,worldvision [13] theirturn,animalsavemvmt [13] animalsavemvmt,oxfam [13] oxfam,heifer [13] worldvision,unicefusa [13] unicefusa,fridays4future [13] fridays4future,gretathunberg [13] gretathunberg,fareedzakaria [13] global,preparedness Top Word Pairs in Tweet in G7:
[20] climate,change [14] laws,regulations [14] regulations,guidelines [14] guidelines,nearly [14] nearly,200 [14] 200,countries [13] tax,administration [12] provides,useful [12] useful,insights [11] wbg_finance,database Top Word Pairs in Tweet in G8:
[24] oceans,help [24] help,fight [24] fight,#climatechange [24] #climatechange,coral [24] coral,reefs [24] reefs,seagrasses [24] seagrasses,mangroves [24] mangroves,capture [24] capture,50 [24] 50,carbon Top Word Pairs in Tweet in G9:
[5] monicaeisenberg,damweembs [5] sikailesikaile1,iampilato [5] iampilato,mckamau [5] mckamau,malundukennedy [5] malundukennedy,kubale12 [4] kubale12,victorkanyense [4] victorkanyense,normanchips [4] normanchips,jackkalala4 [4] jackkalala4,peterrowe631 [4] peterrowe631,peter_s_becks1 Top Word Pairs in Tweet in G10:
[20] abidsuleri,vaqarahmed [18] sdpipakistan,abidsuleri [18] vaqarahmed,fcdogovuk [18] fcdogovuk,giz_gmbh [18] giz_gmbh,wfp [18] wfp,hsaislamabad [18] hsaislamabad,gizpakistan [18] gizpakistan,sawteenp [18] sawteenp,worldbanksasia [18] worldbanksasia,fnfpakistan 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:
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Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G5:
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:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: