The graph represents a network of 5,750 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, 12 May 2022 at 12:28 UTC.
The requested start date was Thursday, 12 May 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, 7-hour, 17-minute period from Monday, 09 May 2022 at 16:42 UTC to Thursday, 12 May 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 : 5750
Unique Edges : 7416
Edges With Duplicates : 48896
Total Edges : 56312
Number of Edge Types : 5
Retweet : 5092
MentionsInRetweet : 14828
Mentions : 34444
Replies to : 1464
Tweet : 484
Self-Loops : 534
Reciprocated Vertex Pair Ratio : 0.0430591767401438
Reciprocated Edge Ratio : 0.0825632479927284
Connected Components : 292
Single-Vertex Connected Components : 130
Maximum Vertices in a Connected Component : 5043
Maximum Edges in a Connected Component : 55443
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.710382
Graph Density : 0.00039937380413985
Modularity : 0.196985
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,750 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, 12 May 2022 at 12:28 UTC.
The requested start date was Thursday, 12 May 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, 7-hour, 17-minute period from Monday, 09 May 2022 at 16:42 UTC to Thursday, 12 May 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:
[1122] world,bank [987] hisamud47588796,nareshsharma107 [896] 300,mil [896] mil,grant [609] nareshsharma107,rajarajavira [608] pinky717623862,ravimis37169884 [555] war,crimes [526] potus,worldbank [524] adiravia,hashmatruhul [524] hashmatruhul,satanis43352136 Top Word Pairs in Tweet in G1:
[143] usaid,worldbank [143] imfnews,usaid [142] due,delay [142] delay,govuganda [142] govuganda,meet [142] meet,agreed [142] agreed,preferences [142] preferences,borrowed [142] borrowed,loans [142] loans,risk Top Word Pairs in Tweet in G2:
[971] world,bank [864] 300,mil [864] mil,grant [475] grant,world [445] bank,#ethiopia [433] #ethiopia,against [433] against,efforts [433] efforts,bring [433] bring,peace [433] peace,stability Top Word Pairs in Tweet in G3:
[160] human,rights [138] war,crimes [130] financial,support [130] support,ethiopia [130] ethiopia,means [130] means,encouraging [130] encouraging,lawlessness [130] lawlessness,war [130] crimes,inhumanity [130] inhumanity,genocide Top Word Pairs in Tweet in G4:
[243] sabían,bancomundial [243] bancomundial,recomienda [243] recomienda,mancomunar [243] mancomunar,recursos [243] recursos,financieros [243] financieros,salud [243] salud,cotizaciones [243] cotizaciones,nuestro [243] nuestro,caso [242] gdominguez_,sabían Top Word Pairs in Tweet in G5:
[10] worldbank,fao [9] unfccc,rkyte365 [8] emmawatson,themahirakhan [8] themahirakhan,victoriabeckham [8] victoriabeckham,selenagomez [8] rkyte365,worldbank [7] selenagomez,shakira [7] shakira,serenawilliams [7] fao,aloksharma_rdg [6] serenawilliams,priyankachopra Top Word Pairs in Tweet in G6:
[8] worldbank,worldbankindia [7] finminindia,nsitharaman [6] व,श [6] #dyk,india [6] india,provided [6] provided,weather [6] weather,road [6] road,connectivity [6] connectivity,over [6] over,160 Top Word Pairs in Tweet in G7:
[22] world,bank [10] #imf,#worldbank [10] #worldbank,committed [10] committed,#mozambique [10] #mozambique,#budgetsupport [10] #budgetsupport,#africa [10] #africa,#development [10] #development,#economy [4] according,world [4] ર,વરફ Top Word Pairs in Tweet in G8:
[18] state,data [18] data,around [18] around,world [18] world,join [18] join,today [18] today,launch [18] launch,global [18] global,#databarometer [18] #databarometer,learn [18] learn,more Top Word Pairs in Tweet in G9:
[85] world,moving [85] moving,time [85] time,instant [85] instant,settlement [85] settlement,distant [85] distant,future [85] future,taigxrp [84] digperspectives,world [84] taigxrp,_xrp [18] quant_network,ripple Top Word Pairs in Tweet in G10:
[17] wef,worldbank [13] eucopresident,wef [13] worldbank,anindyabakrie [13] anindyabakrie,officialrcti [13] bbmas,chinarealtime [13] chinarealtime,donaldjtrumpjr [13] donaldjtrumpjr,indosiar [13] potus45,flotus45 [13] flotus45,princeharrybrf [13] princeharrybrf,herusugiarta Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: