The graph represents a network of 5,757 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, 13 January 2022 at 13:36 UTC.
The requested start date was Thursday, 13 January 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 2-day, 18-hour, 52-minute period from Monday, 10 January 2022 at 06:06 UTC to Thursday, 13 January 2022 at 00:58 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 : 5757
Unique Edges : 6917
Edges With Duplicates : 25786
Total Edges : 32703
Number of Edge Types : 5
Mentions : 16161
Replies to : 2028
Retweet : 4294
MentionsInRetweet : 9406
Tweet : 814
Self-Loops : 987
Reciprocated Vertex Pair Ratio : 0.0132848331488218
Reciprocated Edge Ratio : 0.0262213204307788
Connected Components : 462
Single-Vertex Connected Components : 268
Maximum Vertices in a Connected Component : 4729
Maximum Edges in a Connected Component : 31349
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.667396
Graph Density : 0.000386694241641713
Modularity : 0.318797
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 5,757 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, 13 January 2022 at 13:36 UTC.
The requested start date was Thursday, 13 January 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 2-day, 18-hour, 52-minute period from Monday, 10 January 2022 at 06:06 UTC to Thursday, 13 January 2022 at 00:58 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:
[651] #riseupug,#article3ug [594] walk,eggshells [594] eggshells,anymore [594] anymore,uganda [594] uganda,collapsing [593] collapsing,before [593] before,eyes [593] eyes,call [497] imfnews,worldbank [490] secblinken,ukparliament Top Word Pairs in Tweet in G1:
[146] covid,19 [92] global,debt [84] global,economy [69] 2021,global [68] strong,rebound [66] rebound,2021 [65] economy,entering [65] amid,threats [64] following,strong [64] entering,slowdown Top Word Pairs in Tweet in G2:
[342] dear,worldbank [241] left,behind [231] worldbank,ur [231] ur,#afghan [231] #afghan,colleagues [231] bn,waitn [230] waitn,almst [230] almst,150 [229] 150,days [229] days,ur Top Word Pairs in Tweet in G3:
[43] climate,change [33] around,world [32] covid,19 [30] water,deficits [30] deficits,linked [30] linked,10 [27] wbg_climate,climate [26] access,water [25] water,stress [25] change,poses Top Word Pairs in Tweet in G4:
[650] #riseupug,#article3ug [594] walk,eggshells [594] eggshells,anymore [594] anymore,uganda [594] uganda,collapsing [593] collapsing,before [593] before,eyes [593] eyes,call [490] secblinken,ukparliament [470] amnesty,joebiden Top Word Pairs in Tweet in G5:
[58] world,bank [25] covid,19 [22] global,growth [19] global,economic [19] 世界経済成長率見通し下方修正,最貧困国は硬着陸も [19] 最貧困国は硬着陸も,世銀 [14] global,economy [11] economic,prospects [10] growth,slow [9] economic,growth Top Word Pairs in Tweet in G6:
[174] finminindia,nsitharaman [173] narendramodi,pmoindia [171] rbi,finminindia [169] pmoindia,rbi [169] icj_asia,abpnews [140] sunnyfernandes,narendramodi [125] abpnews,mumbaimirror [123] mumbaimirror,httweets [100] nsitharaman,icj_asia [69] nsitharaman,#boycottunitybanksfb Top Word Pairs in Tweet in G7:
[10] worldbank,imfnews [7] fbi,metmuseum [7] metmuseum,interpol_hq [7] interpol_hq,ucda10 [7] ucda10,stpetetime [7] stpetetime,pculyp [7] pculyp,pontifex [7] pontifex,crmedia_vatican [7] crmedia_vatican,usdoj_intl [7] usdoj_intl,deptofdefense Top Word Pairs in Tweet in G8:
[62] uganda,election [62] election,brutality [62] brutality,2021 [62] 2021,world [62] world,record [62] record,rigging [62] rigging,kagutamuseveni [62] kagutamuseveni,watch [62] watch,youtube [62] youtube,link Top Word Pairs in Tweet in G9:
[103] synthesis,key [103] key,lessons [103] lessons,recent [103] recent,difference [103] difference,differences [103] differences,literature [103] literature,summarize [103] summarize,great [103] great,overview [102] dmckenzie001,synthesis Top Word Pairs in Tweet in G10:
[57] #sukkurbarrage,world [57] world,largest [57] largest,irrigation [57] irrigation,system [57] system,kind [57] started,1923 [57] 1923,operations [57] operations,began [57] began,1932 [55] kind,started Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: