The graph represents a network of 3,076 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 12/29/2022 2:58:08 AM. The network was obtained from Twitter on Thursday, 29 December 2022 at 13:26 UTC.
The tweets in the network were tweeted over the 1443-day, 15-hour, 8-minute period from Tuesday, 15 January 2019 at 19:49 UTC to Thursday, 29 December 2022 at 10:57 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 : 3076
Unique Edges : 4470
Edges With Duplicates : 16958
Total Edges : 21428
Number of Edge Types : 9
Retweet : 4024
MentionsInRetweet : 9777
Replies to : 661
MentionsInReplyTo : 3145
Tweet : 308
Mentions : 1963
MentionsInQuote : 1273
Quote : 202
MentionsInQuoteReply : 75
Self-Loops : 830
Reciprocated Vertex Pair Ratio : 0.00763275542470832
Reciprocated Edge Ratio : 0.0151498755545937
Connected Components : 157
Single-Vertex Connected Components : 61
Maximum Vertices in a Connected Component : 2621
Maximum Edges in a Connected Component : 20596
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.296101
Graph Density : 0.000976984152156216
Modularity : 0.323083
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 3,076 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 12/29/2022 2:58:08 AM. The network was obtained from Twitter on Thursday, 29 December 2022 at 13:26 UTC.
The tweets in the network were tweeted over the 1443-day, 15-hour, 8-minute period from Tuesday, 15 January 2019 at 19:49 UTC to Thursday, 29 December 2022 at 10:57 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
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:
[533] employees,opened [533] bank,told [533] told,open [533] opened,bank [533] bank,employees [533] open,told [528] told,money [494] daysof,#tigraygenocide [494] u240,ca [494] going,daysof Top Word Pairs in Tweet in G1:
[63] daysof,#tigraygenocide [63] ca,worldbank [63] watch,withus [63] 700,7th [63] u240,ca [63] #tigraygenocide,700 [63] going,daysof [63] st,unit [63] unit,u240 [63] 7th,st Top Word Pairs in Tweet in G2:
[521] bank,told [521] opened,bank [521] open,told [521] employees,opened [521] bank,employees [521] told,open [516] told,money [425] ca,worldbank [425] u240,ca [425] watch,withus Top Word Pairs in Tweet in G3:
[26] pmoindia,mansukhmandviya [20] #g20india,#healthforall [20] mansukhmandviya,drsjaishankar [16] goal,'#healthforall' [16] #boycottunitybanksfb,#pmcbankcrisis [16] rbi,finminindia [16] narendramodi,pmoindia [16] #g20india,driving [16] '#healthforall',#vasudhaivakutumbakam [16] driving,towards Top Word Pairs in Tweet in G4:
[340] grant,money [329] money,given [274] #worldbank,grant [207] alleviate,poverty [207] poverty,under [206] given,nigerian [201] nigerian,mass [200] mass,alleviate [195] under,charge [183] charge,uaag Top Word Pairs in Tweet in G5:
[62] based,solutions [62] nature,based [59] surge,nature [59] #mangroves,lessen [59] role,climate [59] waves,storm [59] play,key [59] storm,surge [59] lessen,impact [59] key,role Top Word Pairs in Tweet in G6:
[90] lynn,johnson [90] 517,703 [90] 703,7101 [90] lawyer,cnn [90] christopher,lynn [73] ask,personal [73] people,trying [73] physical,people [73] distrokid,worldbank [73] 90,9204 Top Word Pairs in Tweet in G7:
[10] ugandans,imfcapdev [10] abduct,kill [10] ugandans,abduct [10] borrowing,ugandans [10] kill,torture [10] torture,ugandans [9] kubamsaava,borrowing [4] lecture,fundings [4] mitigate,drivers [4] targeted,benefit Top Word Pairs in Tweet in G8:
[13] worldbank,min_waterug [12] engjonard,2019 [11] firewood,37 [11] report,worldbank [11] ug,firewood [11] needs,ug [11] 37,mt [11] 88,energy [11] min_waterug,wood [11] energy,needs Top Word Pairs in Tweet in G9:
[23] #unitednations,#worldbank [22] money,given [22] uaag,rev [22] poverty,under [22] alleviate,poverty [22] given,nigerian [22] under,charge [22] #worldbank,grant [22] charge,uaag [22] grant,money Top Word Pairs in Tweet in G10:
[2] consequentialbr,tonybaduy [2] provaxtexan,maureenstroud [2] statsguyuk,curfewx [2] andrewlazarus4,kevinault [2] i_am_joli_anne,angryfleas [2] angryfleas,jarbot15 [2] mcfunny,provaxtexan [2] jimeeliberty,volpiranyas [2] monstercoyliar,doritmi [2] doritmi,kberkopes 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 G6:
Top Replied-To in G7:
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:
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: