The graph represents a network of 3,891 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 3/12/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 13 March 2023 at 18:35 UTC.
The tweets in the network were tweeted over the 3660-day, 3-hour, 22-minute period from Monday, 04 March 2013 at 20:35 UTC to Sunday, 12 March 2023 at 23:57 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 : 3891
Unique Edges : 3108
Edges With Duplicates : 12622
Total Edges : 15730
Number of Edge Types : 9
Retweet : 3472
MentionsInRetweet : 5314
Mentions : 1331
Quote : 70
MentionsInQuote : 166
MentionsInReplyTo : 4161
Replies to : 701
Tweet : 493
MentionsInQuoteReply : 22
Self-Loops : 784
Reciprocated Vertex Pair Ratio : 0.0196912413358538
Reciprocated Edge Ratio : 0.0386219681754982
Connected Components : 181
Single-Vertex Connected Components : 92
Maximum Vertices in a Connected Component : 3508
Maximum Edges in a Connected Component : 15101
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.199525
Graph Density : 0.000427656202204151
Modularity : 0.318024
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,891 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 3/12/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 13 March 2023 at 18:35 UTC.
The tweets in the network were tweeted over the 3660-day, 3-hour, 22-minute period from Monday, 04 March 2013 at 20:35 UTC to Sunday, 12 March 2023 at 23:57 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:
[729] climate,change [338] behind,climate [338] stop,hiding [338] hiding,behind [317] #ugandaisbleeding,#stopsponsoringouroppression [311] worldbank,imfnews [293] change,busy [293] evil,acts [293] dictator,museveni's [293] supporting,dictator Top Word Pairs in Tweet in G1:
[149] ajay,banga [125] climate,change [107] women,business [107] business,law [101] countries,laws [100] 190,countries [100] assesses,190 [100] laws,regulations [100] related,women [100] global,food Top Word Pairs in Tweet in G2:
[106] climate,change [84] women,business [84] business,law [71] assesses,190 [71] countries,laws [71] areas,related [71] law,2023 [71] regulations,areas [71] 190,countries [71] 2023,assesses Top Word Pairs in Tweet in G3:
[338] stop,hiding [338] behind,climate [338] hiding,behind [317] #ugandaisbleeding,#stopsponsoringouroppression [309] worldbank,imfnews [303] climate,change [293] change,busy [293] busy,supporting [293] supporting,dictator [293] evil,acts Top Word Pairs in Tweet in G4:
[64] climate,change [60] climate,action [35] income,countries [34] million,people [31] climate,finance [30] ghg,emissions [29] wbg_climate,countries [25] results,based [24] wbg_climate,#morocco [24] low,middle Top Word Pairs in Tweet in G5:
[22] climate,change [13] climatereality,worldbank [13] climate,finance [12] projects,2025 [12] worldbank,agreed [12] direct,35 [12] related,projects [12] step,forward [12] 2025,step [12] 35,financing Top Word Pairs in Tweet in G6:
[158] largest,2015 [158] reconstruction,program [158] 2015,earthquake [158] known,largest [158] providing,technical [158] government,known [158] earthquake,reconstruction [158] nepalese,government [158] program,providing [157] sphfofficial,nepalese Top Word Pairs in Tweet in G7:
[38] rich,experience [37] banga's,rich [37] stand,good [37] next,generation [37] mr,banga's [37] worldbank,considering [37] considering,next [37] time,worldbank [37] stead,time [37] experience,stand Top Word Pairs in Tweet in G8:
[17] nominee,#ajaybanga [17] world,bank [13] climate,change [11] #worldbank,president [10] #economy,#greendevelopment [10] #mozambique,#africa [10] #climate,#greenelectricity [10] results,#africa [10] framework,#mozambique [10] #africa,#finance Top Word Pairs in Tweet in G9:
[13] nbcsnl,comedycentral [13] eu_justice,un4youth [13] interpol_hq,un_oct [13] rickygervais,interpol_hq [13] justicecanadaen,thejusticedept [13] un_oct,justicecanadaen [13] comedycentral,rickygervais [13] thejusticedept,eu_justice [7] torontostar,secpubliqueqc [7] pontifex,cnbc Top Word Pairs in Tweet in G10:
[5] kimiversenshow,yulisha [5] bhaktadasa,professor_foote [5] professor_foote,greta [5] yulisha,ramcnn [5] greta,shannonfarren [5] shannonbream,kimiversenshow [5] shannonfarren,shannonbream [4] nowarforisrael,bhaktadasa [3] wisermann,nowarforisrael [3] ramcnn,frankmott 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 G7:
Top Replied-To in G9:
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:
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: