The graph represents a network of 3,863 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 1/11/2023 5:00:34 PM. The network was obtained from Twitter on Thursday, 12 January 2023 at 13:27 UTC.
The tweets in the network were tweeted over the 1581-day, 7-hour, 0-minute period from Thursday, 13 September 2018 at 18:00 UTC to Thursday, 12 January 2023 at 01:00 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 : 3863
Unique Edges : 7361
Edges With Duplicates : 22313
Total Edges : 29674
Number of Edge Types : 9
Retweet : 3692
MentionsInRetweet : 10548
Replies to : 838
MentionsInReplyTo : 7617
Tweet : 414
Mentions : 2987
MentionsInQuote : 3191
Quote : 347
MentionsInQuoteReply : 40
Self-Loops : 805
Reciprocated Vertex Pair Ratio : 0.00564387917329094
Reciprocated Edge Ratio : 0.0112244091376176
Connected Components : 231
Single-Vertex Connected Components : 120
Maximum Vertices in a Connected Component : 3124
Maximum Edges in a Connected Component : 28341
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.16719
Graph Density : 0.000847984429957532
Modularity : 0.308273
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 3,863 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 1/11/2023 5:00:34 PM. The network was obtained from Twitter on Thursday, 12 January 2023 at 13:27 UTC.
The tweets in the network were tweeted over the 1581-day, 7-hour, 0-minute period from Thursday, 13 September 2018 at 18:00 UTC to Thursday, 12 January 2023 at 01:00 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:
[534] ethiopia,competing [530] competing,international [524] international,funds [520] funds,grave [515] grave,humanitarian [515] humanitarian,disasters [489] disasters,#eritreaoutoftigray [340] google,search [331] world,bank [289] voice_of_tigray,ethiopia Top Word Pairs in Tweet in G1:
[534] ethiopia,competing [530] competing,international [524] international,funds [520] funds,grave [515] humanitarian,disasters [515] grave,humanitarian [489] disasters,#eritreaoutoftigray [289] #eritreaoutoftigray,#endtigra [289] voice_of_tigray,ethiopia [240] dependent,isolated Top Word Pairs in Tweet in G2:
[338] google,search [206] unhumanrights,valpoun [204] worldbank,wbg_nigeria [199] wbg_nigeria,hrw [195] potus,worldbank [172] valpoun,potus [169] need,go [169] answer,questions [169] search,telegram [169] googly,bot Top Word Pairs in Tweet in G3:
[106] david,malpass [104] mr,david [104] davidmalpasswbg,president [104] malpass,davidmalpasswbg [103] world,bank [99] development,partner [98] longtime,development [98] thank,mr [98] bank,longtime [98] pakistan,thank Top Word Pairs in Tweet in G4:
[170] worldbankindia,india [132] india,economy [132] external,environment [132] resilience,despite [132] demonstrated,resilience [132] worldbank,latest [132] despite,challenging [132] environment,worldbank [132] challenging,external [132] economy,demonstrated Top Word Pairs in Tweet in G5:
[28] munmun_bhat,rbi [26] rbi,amitabhk87 [24] finminindia,munmun_bhat [21] अर,थव [21] newsafi,smefinanceforum [21] amitabhk87,harshvshringla [20] g20org,finminindia [20] ajayddnews,g20org [20] harshvshringla,newsafi [18] financial,inclusion Top Word Pairs in Tweet in G6:
[176] mbuhari,godwiniemefiele [176] profosinbajo,mbuhari [175] cnn,bbc [175] potus,profosinbajo [175] godwiniemefiele,cnn [175] hillaryclinton,potus [174] kamalaharris,hillaryclinton [174] saharareporters,kamalaharris [168] rdeusvult,saharareporters [113] bbc,fbi Top Word Pairs in Tweet in G7:
[124] #bonearmy,#shiba [124] #cpidata,#fomc [124] #federalreserve,#worldbank [124] #shibarmy,#cpi [124] #shiba,#shibarmy [124] #cpi,#cpidata [124] #fomc,#federalreserve [124] #worldbank,#bitcoin [123] boneshiba,#bonearmy [122] #bitcoin,currently Top Word Pairs in Tweet in G8:
[31] world,bank [6] global,economy [5] #worldbank,warns [5] economic,growth [5] fiscal,year [5] #imf,#worldbank [4] advanced,economies [4] global,recession [4] warns,global [4] #worldbank,#india Top Word Pairs in Tweet in G9:
[7] worldbankafrica,imfnews [6] رہے,گا [6] کے,رہے [6] mobile,childcare [5] worldbank,worldbankafrica [5] learning,state [5] mind,learning [5] state,mind [5] world,bank [4] seminar,state Top Word Pairs in Tweet in G10:
[6] undppa,unocha [6] unicef_auoffice,unwomenafrica [6] igadsecretariat,sadc_news [6] unwomenafrica,undppa [6] unocha,afdb_group [6] sadc_news,auc_paps [6] afdb_group,unicefafrica [6] jumuiya,igadsecretariat [5] auyouthprogram,unicef_auoffice [5] auc_paps,unoau_ 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 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: