The graph represents a network of 7,420 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, 07 April 2022 at 12:33 UTC.
The requested start date was Thursday, 07 April 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 3-day, 6-hour, 7-minute period from Sunday, 03 April 2022 at 17:53 UTC to Thursday, 07 April 2022 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 : 7420
Unique Edges : 10506
Edges With Duplicates : 22311
Total Edges : 32817
Number of Edge Types : 5
Mentions : 15142
Retweet : 4333
MentionsInRetweet : 10801
Replies to : 1799
Tweet : 742
Self-Loops : 861
Reciprocated Vertex Pair Ratio : 0.0126528377638542
Reciprocated Edge Ratio : 0.0249894875953625
Connected Components : 436
Single-Vertex Connected Components : 205
Maximum Vertices in a Connected Component : 6019
Maximum Edges in a Connected Component : 30864
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.331956
Graph Density : 0.000302403423278687
Modularity : 0.389409
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 7,420 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, 07 April 2022 at 12:33 UTC.
The requested start date was Thursday, 07 April 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 3-day, 6-hour, 7-minute period from Sunday, 03 April 2022 at 17:53 UTC to Thursday, 07 April 2022 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:
[438] imfnews,worldbank [361] worldbank,imfnews [293] euinug,apacificieu [288] world,bank [259] human,rights [239] selfish,interests [222] global,director [220] jaimesaavedra22,global [220] director,education [220] education,worldbank Top Word Pairs in Tweet in G1:
[63] worldbank,imfnews [59] world,bank [38] spring,meetings [36] covid,19 [35] developing,economies [32] global,parliamentary [32] parliamentary,forum [30] somalia,government [26] gobannimo,worldbank [25] imfnews,spring Top Word Pairs in Tweet in G2:
[97] covid,19 [94] learn,more [84] climate,change [68] unicef,worldbank [61] spring,meetings [57] worldbank,supported [47] civil,society [46] program,seeking [46] seeking,candidates [46] candidates,strong Top Word Pairs in Tweet in G3:
[366] imfnews,worldbank [293] euinug,apacificieu [253] human,rights [243] worldbank,imfnews [239] selfish,interests [210] #kunga,#endm7dictatorship [199] security,forces [183] worldbank,g7 [178] eamongilmore,euinug [178] g7,stop Top Word Pairs in Tweet in G4:
[218] jaimesaavedra22,global [218] global,director [218] director,education [218] education,worldbank [216] pleasure,meeting [216] meeting,mr [216] mr,jaimesaavedra22 [216] worldbank,insightful [216] insightful,discussions [216] discussions,recovering Top Word Pairs in Tweet in G5:
[42] world,bank [9] bank,group [9] #worldbank,#imf [9] #imf,#worldbank [9] #worldbank,#fund [9] #fund,small [9] small,holder [9] holder,#farmers [9] #farmers,#kenya [9] #kenya,#africa Top Word Pairs in Tweet in G6:
[16] nasa,worldbank [15] francediplo_en,nasa [15] worldbank,basc [15] basc,foundation [12] federalreserve,francediplo_en [6] foundation,basc [3] condenast,voguemagazine [3] adb_hq,aiib_official [3] federalreserve,fema [3] fema,francediplo_en Top Word Pairs in Tweet in G7:
[57] inspiring,see [57] see,worldbank [57] worldbank,partnership [57] partnership,gavi [57] gavi,#covax [57] #covax,improving [57] improving,vaccine [57] vaccine,equity [57] equity,#nigeria [57] #nigeria,during Top Word Pairs in Tweet in G8:
[8] auaf,students [6] bbc,worldbank [5] please,evacuate [4] students,still [4] safe,environment [4] evacuate,auaf [4] worldbank,fortune [3] american,university [3] university,afghanistan's [3] afghanistan's,students Top Word Pairs in Tweet in G9:
[8] worldbank,worldbankgroup7 [7] leo_corbucci,worldbank [4] gary,hufbauer [4] hufbauer,piie [4] piie,jagdish [4] jagdish,bhagwati [4] bhagwati,columbia [4] columbia,michael [4] michael,frenkel [4] frenkel,whu_edu Top Word Pairs in Tweet in G10:
[21] public,services [19] worldbank,imfnews [18] imfnews,influence [18] influence,public [18] services,financing [18] financing,policy [18] policy,needed [18] needed,change [18] change,face [17] miss,event 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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Top Tweeters in G10: