The graph represents a network of 7,452 Twitter users whose tweets in the requested range contained "worldbank", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 27 May 2021 at 12:33 UTC.
The requested start date was Thursday, 27 May 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 11-hour, 15-minute period from Monday, 24 May 2021 at 12:45 UTC to Thursday, 27 May 2021 at 00:01 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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 : 7452
Unique Edges : 9381
Edges With Duplicates : 25175
Total Edges : 34556
Number of Edge Types : 5
Tweet : 506
Retweet : 5170
MentionsInRetweet : 15516
Mentions : 12153
Replies to : 1211
Self-Loops : 630
Reciprocated Vertex Pair Ratio : 0.0161792539227059
Reciprocated Edge Ratio : 0.0318433068973804
Connected Components : 257
Single-Vertex Connected Components : 117
Maximum Vertices in a Connected Component : 5832
Maximum Edges in a Connected Component : 31765
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.41086
Graph Density : 0.000299757665270319
Modularity : 0.388475
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 7,452 Twitter users whose tweets in the requested range contained "worldbank", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 27 May 2021 at 12:33 UTC.
The requested start date was Thursday, 27 May 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 11-hour, 15-minute period from Monday, 24 May 2021 at 12:45 UTC to Thursday, 27 May 2021 at 00:01 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
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:
[540] aprovechando,cortinas [540] cortinas,humo [540] humo,compra [540] compra,refinería [540] refinería,persecución [540] persecución,peña [540] peña,apoyo [540] apoyo,usos [539] leoneconomista,aprovechando [539] usos,costumbre Top Word Pairs in Tweet in G1:
[103] around,world [87] world,bank [81] worldbankafrica,worldbank [75] impacts,#climatechange [71] african,countries [69] many,african [69] countries,#burundi [69] #burundi,set [69] set,bear [69] bear,brunt Top Word Pairs in Tweet in G2:
[114] #visituganda,#stopkidnappingugandans [69] worldbank,imfnews [69] #stopkidnappingugandans,#freeallpoliticalprisoners [65] senatormenendez,repgregorymeeks [65] #stopfundingdictotar,worldbank [61] seifgebre,senatormenendez [61] impose,sanctions [61] sanctions,ethiopian [61] ethiopian,eritrean [61] eritrean,officials Top Word Pairs in Tweet in G3:
[540] aprovechando,cortinas [540] cortinas,humo [540] humo,compra [540] compra,refinería [540] refinería,persecución [540] persecución,peña [540] peña,apoyo [540] apoyo,usos [539] leoneconomista,aprovechando [539] usos,costumbre Top Word Pairs in Tweet in G4:
[456] mygovindia,pib_india [455] worldbankindia,worldbank [451] drmnpandeymp,nsdcindia [451] nsdcindia,mygovindia [451] pib_india,pmoindia [377] msdeskillindia,drmnpandeymp [372] pmoindia,dgt_msde [371] dgt_msde,worldbankindia [244] narendramodi,pmoindia [217] finminindia,nsitharaman Top Word Pairs in Tweet in G5:
[307] crisis,educativa [307] educativa,grande [307] grande,haya [307] haya,visto [307] visto,mayoría [307] mayoría,escuelas [307] escuelas,tienen [307] tienen,cerradas [307] cerradas,año [307] año,vemos Top Word Pairs in Tweet in G6:
[304] க,ட [273] #worldbank,ல [273] ஜன,க [273] ட,ட [252] ஆக,ஸ [252] ஸ,ஜன [242] ல,ஆக [221] ஆம,#worldbank [221] ட,ர [221] ர,க Top Word Pairs in Tweet in G7:
[7] worldbank,imfnews [4] imfnews,federalreserve [3] attack,turkey [3] federalreserve,exxonmobil [3] pervinbuldan,mithatsancarr [3] mithatsancarr,sezaitemelli [3] #norvanreports,#ghana [3] uninindia,imfcapdev [3] imfcapdev,worldbank [3] #च,hitesh Top Word Pairs in Tweet in G8:
[84] patrickheinisc1,worldbank [54] kjetiltronvoll,patrickheinisc1 [44] don,think [43] worldbank,don [43] think,china [43] china,fill [43] fill,gap [43] gap,eprdf [43] eprdf,developmental [43] developmental,state Top Word Pairs in Tweet in G9:
[20] pobreza,extrema [18] #américalatina,países [18] países,aumentó [18] aumentó,pobreza [18] extrema,#pandemia [18] #pandemia,co [18] co,pnxoisf0s2 [18] pnxoisf0s2,cnnee [17] tinocogrogelio,#américalatina [17] cnnee,logra Top Word Pairs in Tweet in G10:
[24] world,bank [8] #africaday2021,25 [8] 25,2021 [8] 2021,25 [8] 25,1963 [8] 1963,#africa [8] #africa,made [8] made,history [8] history,#foundation [8] #foundation,#organisation Top Replied-To in Entire Graph:
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Top Replied-To in G7:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: