The graph represents a network of 4,486 Twitter users whose recent tweets contained "Worldbank (environment OR climate OR warming OR ecological OR planet OR global)", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/5/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 06 March 2023 at 18:33 UTC.
The tweets in the network were tweeted over the 1546-day, 15-hour, 55-minute period from Monday, 10 December 2018 at 09:00 UTC to Monday, 06 March 2023 at 00:56 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 4486
Unique Edges : 4822
Edges With Duplicates : 10636
Total Edges : 15458
Number of Edge Types : 9
Retweet : 4000
MentionsInRetweet : 7680
MentionsInQuote : 156
Quote : 67
MentionsInReplyTo : 1594
Replies to : 319
Tweet : 406
Mentions : 1145
MentionsInQuoteReply : 91
Self-Loops : 663
Reciprocated Vertex Pair Ratio : 0.0125251092993028
Reciprocated Edge Ratio : 0.0247403430972109
Connected Components : 174
Single-Vertex Connected Components : 101
Maximum Vertices in a Connected Component : 4110
Maximum Edges in a Connected Component : 14856
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.160808
Graph Density : 0.000425900770935565
Modularity : 0.415127
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,486 Twitter users whose recent tweets contained "Worldbank (environment OR climate OR warming OR ecological OR planet OR global)", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/5/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 06 March 2023 at 18:33 UTC.
The tweets in the network were tweeted over the 1546-day, 15-hour, 55-minute period from Monday, 10 December 2018 at 09:00 UTC to Monday, 06 March 2023 at 00:56 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[1053] ajay,banga [422] president,worldbank [400] banga,president [385] climate,change [384] worldbank,potus [381] praveendel,caitindia [379] shri,ajay [378] joebiden,strength [378] potus,shri [378] hails,nomination Top Word Pairs in Tweet in G1:
[143] global,food [125] ajay,banga [117] market,outlook [117] insights,global [117] worldbank,download [117] download,insights [117] food,market [117] latest,#foodsecurity [117] #foodsecurity,update [117] update,worldbank Top Word Pairs in Tweet in G2:
[444] ajay,banga [387] president,worldbank [382] worldbank,potus [381] praveendel,caitindia [380] banga,president [378] potus,shri [378] nomination,shri [378] hails,nomination [378] shri,ajay [378] shri,joebiden Top Word Pairs in Tweet in G3:
[109] climate,change [68] worldbank,group [53] million,people [53] global,food [51] more,resilient [46] based,solutions [46] nature,based [43] debt,roundtable [43] global,sovereign [43] sovereign,debt Top Word Pairs in Tweet in G4:
[363] accomplished,friend [363] friend,ajay [363] very,accomplished [363] again,very [363] banga,becomes [363] moment,again [363] top,world [363] banga,proud [363] world,banga [363] becomes,first Top Word Pairs in Tweet in G5:
[82] climate,change [56] country,#climateanddevelopment [56] #climateanddevelopment,reports [48] climate,action [42] million,people [38] first,batch [37] batch,country [37] wbg_climate,countries [35] wbg_climate,worldbank [33] each,year Top Word Pairs in Tweet in G6:
[22] global,terrorist [13] climatereality,worldbank [12] projects,2025 [12] worldbank,agreed [12] direct,35 [12] related,projects [12] step,forward [12] 2025,step [12] 35,financing [12] financing,climate Top Word Pairs in Tweet in G7:
[7] thejusticedept,eu_justice [7] interpol_hq,un_oct [7] justicecanadaen,thejusticedept [7] nbcsnl,comedycentral [7] un_oct,justicecanadaen [7] eu_justice,un4youth [7] rickygervais,interpol_hq [7] global,workforce [7] comedycentral,rickygervais [6] informal,economy Top Word Pairs in Tweet in G8:
[32] world,bank [18] climate,change [15] ajay,banga [10] #economy,#greendevelopment [10] #mozambique,#africa [10] framework,#mozambique [10] joe,biden [10] #countrypartnership,framework [10] #africa,#economy [10] #worldbank,endorses Top Word Pairs in Tweet in G9:
[28] areas,related [28] countries,laws [28] regulations,areas [28] related,women [28] assesses,190 [28] law,2023 [28] 190,countries [28] laws,regulations [28] 2023,assesses [28] business,law Top Word Pairs in Tweet in G10:
[26] global,#learningpoverty [25] table,global [25] useful,recap [25] check,below [25] #learningpoverty,crisis [25] below,latest [25] looking,useful [25] crisis,check [25] recap,table [24] stefanodecupis,looking 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 G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: