The graph represents a network of 5,258 Twitter users whose recent tweets contained "worldbank", 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 2/15/2023 5:00:35 PM. The network was obtained from Twitter on Thursday, 16 February 2023 at 13:30 UTC.
The tweets in the network were tweeted over the 1415-day, 8-hour, 19-minute period from Tuesday, 02 April 2019 at 16:40 UTC to Thursday, 16 February 2023 at 00:59 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 : 5258
Unique Edges : 6327
Edges With Duplicates : 23039
Total Edges : 29366
Number of Edge Types : 9
Retweet : 2803
MentionsInRetweet : 7072
Replies to : 1485
MentionsInReplyTo : 11476
Tweet : 641
MentionsInQuote : 3122
Mentions : 2391
MentionsInQuoteReply : 83
Quote : 293
Self-Loops : 1346
Reciprocated Vertex Pair Ratio : 0.0159977009292078
Reciprocated Edge Ratio : 0.0314916085234773
Connected Components : 296
Single-Vertex Connected Components : 143
Maximum Vertices in a Connected Component : 4515
Maximum Edges in a Connected Component : 27985
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.397585
Graph Density : 0.000383701117450818
Modularity : 0.28457
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,258 Twitter users whose recent tweets contained "worldbank", 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 2/15/2023 5:00:35 PM. The network was obtained from Twitter on Thursday, 16 February 2023 at 13:30 UTC.
The tweets in the network were tweeted over the 1415-day, 8-hour, 19-minute period from Tuesday, 02 April 2019 at 16:40 UTC to Thursday, 16 February 2023 at 00:59 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
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:
[229] dictator,kagutamuseveni [215] world,bank [150] step,down [125] climate,change [124] roads,administration [124] company,belongs [124] administration,staggering [124] regime,owes [124] ethiopian,regime [124] belongs,ethiopian Top Word Pairs in Tweet in G1:
[58] david,malpass [48] world,bank [46] step,down [41] companies,provide [41] boost,digitization [41] private,companies [41] make,funding [41] funding,boost [41] gov'ts,private [41] provide,funding Top Word Pairs in Tweet in G2:
[76] step,down [75] worldbank,group [74] imfnews,worldbank [69] directors,informed [69] met,worldbank [69] group,board [69] afternoon,met [69] informed,intention [69] intention,step [69] board,directors Top Word Pairs in Tweet in G3:
[225] dictator,kagutamuseveni [120] kagutamuseveni,endlessly [120] ugandans,disappointed [120] continues,support [120] support,dictator [119] disappointed,worldbank [119] worldbank,continues [118] endlessly,killing [118] worldbank,ugandans [117] innocent,people Top Word Pairs in Tweet in G4:
[115] impressive,career [115] doubt,bring [115] bring,learnings [115] ceo,muhammadpate [115] learnings,impressive [115] muhammadpate,doubt [115] congratulations,gavi [115] gavi,next [115] next,ceo [114] billgates,congratulations Top Word Pairs in Tweet in G5:
[112] company,belongs [112] staggering,39 [112] trillion,birr [112] owes,ethiopian [112] ethiopian,regime [112] 39,trillion [112] administration,staggering [112] regime,owes [112] ethiopian,roads [112] roads,administration Top Word Pairs in Tweet in G6:
[102] cop26,andersen_inger [79] andersen_inger,brian_j_keane [79] emma999too,un_sdg [79] un_sdg,azziadnasenya [65] cop27p,wael_aboulmagd [63] brian_j_keane,madube_ [54] lepariyo,sdg13un [54] unep,worldbank [53] sdgadvocates,connectsdgs [53] foundationveer,globalgoalsun Top Word Pairs in Tweet in G7:
[106] narendramodi,pmoindia [105] pmoindia,rbi [98] rbi,finminindia [98] finminindia,nsitharaman [87] nsitharaman,#boycottunitybanksfb [74] #boycottunitybanksfb,#pmcbankcrisis [61] icj_asia,abpnews [52] rashtrapatibhvn,pmoindia [52] ashwinivaishnaw,railminindia [52] pmoindia,worldbank Top Word Pairs in Tweet in G8:
[34] climate,change [32] learn,more [19] 300,million [19] approved,300 [19] eligible,countries [18] countries,prepare [18] funding,help [18] first,round [18] water,storage [18] help,eligible Top Word Pairs in Tweet in G9:
[37] world,bank [12] bank,group [10] david,malpass [10] step,down [8] #imf,#worldbank [6] #cnn,#bbc [6] malpass,step [6] bank,president [5] #ussenate,#democrats [5] #bbc,#reuters Top Word Pairs in Tweet in G10:
[33] human,capital [24] #covid19,eroded [24] #investinpeople,join [23] eroded,human [22] need,#investinpeople [22] learning,#covid19 [22] capital,need [22] interested,learning [21] worldbank,ft4s [21] stefanodecupis,interested 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 G6:
Top Replied-To in G7:
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: