The graph represents a network of 6,676 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, 24 February 2022 at 13:33 UTC.
The requested start date was Thursday, 24 February 2022 at 01:01 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 3-day, 17-hour, 0-minute period from Sunday, 20 February 2022 at 08:00 UTC to Thursday, 24 February 2022 at 01:00 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 : 6676
Unique Edges : 8110
Edges With Duplicates : 22965
Total Edges : 31075
Number of Edge Types : 5
Retweet : 4355
MentionsInRetweet : 9339
Mentions : 14862
Replies to : 1811
Tweet : 708
Self-Loops : 894
Reciprocated Vertex Pair Ratio : 0.0149804602692141
Reciprocated Edge Ratio : 0.0295187165775401
Connected Components : 399
Single-Vertex Connected Components : 171
Maximum Vertices in a Connected Component : 5553
Maximum Edges in a Connected Component : 29575
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.611543
Graph Density : 0.00031472792023751
Modularity : 0.361313
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,676 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, 24 February 2022 at 13:33 UTC.
The requested start date was Thursday, 24 February 2022 at 01:01 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 3-day, 17-hour, 0-minute period from Sunday, 20 February 2022 at 08:00 UTC to Thursday, 24 February 2022 at 01:00 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:
[449] renown,nup_ug [449] nup_ug,political [449] political,coordinator [449] coordinator,abducted [448] incommunicado,unsafe [442] unsafe,house [388] imfnews,worldbank [356] house,tortured [344] imf,worldbank [325] #riseupug,#article3ug Top Word Pairs in Tweet in G1:
[159] world,development [159] development,report [105] 2022,world [99] world,bank [86] covid,19 [77] learn,more [76] dear,worldbank [64] worldbank,group [63] chief,economist [62] 19,pandemic Top Word Pairs in Tweet in G2:
[449] renown,nup_ug [449] nup_ug,political [449] political,coordinator [449] coordinator,abducted [448] incommunicado,unsafe [442] unsafe,house [356] house,tortured [325] #riseupug,#article3ug [267] worldbank,intlcrimcourt [265] #endtortureinuganda,#freeallpoliticalprisoners Top Word Pairs in Tweet in G3:
[33] wbtanzania,#today [24] #today,pst [24] worldbank,worldbankafrica [20] pst,emmanuel [20] emmanuel,tutuba [20] tutuba,mara [20] mara,warwick [20] warwick,wb [20] wb,country [20] country,director Top Word Pairs in Tweet in G4:
[64] unicef,worldbank [64] brunettijuanma,mecpy [59] enriquevp,brunettijuanma [59] mecpy,unicef [30] cristo_vencera,enriquevp [29] seriously,impressed [29] impressed,guys [29] guys,endless [29] endless,wisdom [29] wisdom,clairvoyant Top Word Pairs in Tweet in G5:
[53] narendramodi,pmoindia [53] pmoindia,rbi [53] rbi,finminindia [53] finminindia,nsitharaman [53] icj_asia,abpnews [52] worldbank,bbmas [51] palazzo_chigi,beijing2022 [50] microsoft,google [49] motogp,palazzo_chigi [45] bbmas,mtv Top Word Pairs in Tweet in G6:
[33] climate,change [31] million,people [26] sanitation,hygiene [25] water,sanitation [22] over,80 [22] 80,global [22] global,wastewater [22] wastewater,released [22] released,environment [22] environment,without Top Word Pairs in Tweet in G7:
[47] escuela,gran [47] gran,igualador [47] igualador,desapareció [47] desapareció,luego [47] luego,cruzada [47] cruzada,masiva [47] masiva,lograr [46] jaimesaavedra22,escuela [19] #african,women [19] women,master Top Word Pairs in Tweet in G8:
[5] #blackhitler,museveni [5] neglect,#health [5] #health,services [5] services,left [5] left,#mena [5] #mena,countries [5] countries,ill [5] ill,prepared [5] prepared,#covid19 [5] #covid19,shock Top Word Pairs in Tweet in G9:
[26] world,bank [6] #katibampya,#wenyenchiwananchi [5] #wenyenchiwananchi,#katibampya [4] climate,change [4] #imf,#worldbank [4] learn,more [3] read,more [3] covid,19 [3] march,2022 [3] jeste,li Top Word Pairs in Tweet in G10:
[29] beef,giant [25] bidinvest,dropping [25] loan,brazilian [25] brazilian,beef [23] ifc_org,worldbank [20] worldbank,ifc_org [20] join,congratulating [20] congratulating,bidinvest [20] dropping,controversial [20] controversial,43 Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G10: