The graph represents a network of 4,183 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, 23 June 2022 at 12:28 UTC.
The requested start date was Thursday, 23 June 2022 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, 0-hour, 54-minute period from Monday, 20 June 2022 at 23:06 UTC to Thursday, 23 June 2022 at 00:00 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 : 4183
Unique Edges : 7700
Edges With Duplicates : 21643
Total Edges : 29343
Number of Edge Types : 5
Retweet : 6402
MentionsInRetweet : 12631
Mentions : 9279
Replies to : 753
Tweet : 278
Self-Loops : 377
Reciprocated Vertex Pair Ratio : 0.00797966245321658
Reciprocated Edge Ratio : 0.0158329830460978
Connected Components : 169
Single-Vertex Connected Components : 61
Maximum Vertices in a Connected Component : 3761
Maximum Edges in a Connected Component : 28817
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.16666
Graph Density : 0.000815969262756851
Modularity : 0.33708
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 4,183 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, 23 June 2022 at 12:28 UTC.
The requested start date was Thursday, 23 June 2022 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, 0-hour, 54-minute period from Monday, 20 June 2022 at 23:06 UTC to Thursday, 23 June 2022 at 00:00 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:
[744] world,bank [338] worldbank,eucouncil [333] 593,days [324] need,urgent [318] urgent,humanitarian [318] humanitarian,assistance [312] bank,support [299] #tigray,need [288] end,#tigraygenocide [283] millions,#tigray Top Word Pairs in Tweet in G1:
[151] young,professionals [135] worldbank,worldbankafrica [131] worldbankafrica,lasgminenergy [115] olalereodusote,worldbank [86] selon,worldbank [86] worldbank,élèves [86] élèves,français [86] français,n'accusent [86] n'accusent,retard [86] retard,d'apprentissage Top Word Pairs in Tweet in G2:
[631] world,bank [335] worldbank,eucouncil [313] need,urgent [308] urgent,humanitarian [307] humanitarian,assistance [306] bank,support [290] #tigray,need [287] end,#tigraygenocide [276] davidmalpasswbg,eucopresident [274] millions,#tigray Top Word Pairs in Tweet in G3:
[45] worldbank,imf [44] worldbank,despite [44] despite,outcry [44] outcry,evidence [44] evidence,shameless [44] shameless,worldbank [44] imf,generously [44] generously,fund [44] fund,african [44] african,dictators Top Word Pairs in Tweet in G4:
[37] narendramodi,pmoindia [37] pmoindia,rbi [37] rbi,finminindia [37] finminindia,nsitharaman [37] icj_asia,abpnews [26] abpnews,mumbaimirror [26] mumbaimirror,httweets [24] sunnyfernandes,narendramodi [24] nsitharaman,#boycottunitybanksfb [24] #boycottunitybanksfb,#pmcbankcrisis Top Word Pairs in Tweet in G5:
[69] 593,days [62] #tigraygenocide,taking [62] taking,place [62] place,tigray [62] tigray,593 [62] days,open [62] open,letter [62] letter,worldbank [62] worldbank,reconsider [61] ask,ic Top Word Pairs in Tweet in G6:
[8] us4afghanpeace,se_afghanwgh [8] se_afghanwgh,whcos [8] whcos,karzaih [8] karzaih,vp [8] vp,statedept [8] statedept,secyellen [8] secyellen,ustreasury [8] ustreasury,worldbanksasia [8] imfnews,worldbank [8] ndmehsan,saleemkhansafi Top Word Pairs in Tweet in G7:
[25] pandemic,preparedness [21] worldbank's,controversial [21] controversial,suggestion [21] suggestion,pandemic [21] preparedness,response [21] response,ppr [21] ppr,fund [21] fund,shows [21] shows,stake [20] felixundstein,worldbank's Top Word Pairs in Tweet in G8:
[15] statedeptars,asstsecstateaf [15] asstsecstateaf,statedept [15] statedept,secblinken [13] secblinken,deputysecstate [10] worldbank,imfnews [10] globalgsts,presents [10] presents,grave [10] grave,concern [10] concern,worldbank [10] worldbank,group Top Word Pairs in Tweet in G9:
[24] make,budgets [24] budgets,work [24] work,health [21] health,practical [21] practical,guide [21] guide,designing [21] designing,managing [21] managing,monitoring [21] monitoring,program [21] program,budgets Top Word Pairs in Tweet in G10:
[8] privatization,ethiotelecom [8] world,bank [7] fund,#tigraygenocide [6] sale,ethiotelecom [6] food,aid [6] #stopfundingtigraygenocide,#endtigraysiege [6] privatizing,ethiotelecom [6] ethiotelecom,potential [6] investment,capital [6] capital,attracting Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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