The graph represents a network of 8,553 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, 17 September 2020 at 12:51 UTC.
The requested start date was Thursday, 17 September 2020 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 6-day, 0-hour, 45-minute period from Thursday, 10 September 2020 at 23:15 UTC to Thursday, 17 September 2020 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 : 8553
Unique Edges : 9252
Edges With Duplicates : 17389
Total Edges : 26641
Number of Edge Types : 5
Retweet : 5082
MentionsInRetweet : 9620
Mentions : 10039
Replies to : 1146
Tweet : 754
Self-Loops : 837
Reciprocated Vertex Pair Ratio : 0.0170392584514722
Reciprocated Edge Ratio : 0.0335075727114328
Connected Components : 487
Single-Vertex Connected Components : 202
Maximum Vertices in a Connected Component : 6963
Maximum Edges in a Connected Component : 24369
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.747294
Graph Density : 0.000204005028022597
Modularity : 0.452404
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 8,553 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, 17 September 2020 at 12:51 UTC.
The requested start date was Thursday, 17 September 2020 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 6-day, 0-hour, 45-minute period from Thursday, 10 September 2020 at 23:15 UTC to Thursday, 17 September 2020 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:
[544] world,bank [316] covid,19 [254] sanju_verma_,ttindia [234] aiib,103 [234] 17,25 [234] 25,stake [234] stake,#worldbank [234] #worldbank,wb [234] wb,president [234] president,inception Top Word Pairs in Tweet in G1:
[157] today,first [157] first,day [157] day,job [157] job,worldbank [157] worldbank,celebrate [157] celebrate,academia [157] academia,decided [157] decided,reward [157] reward,very [157] very,beautiful Top Word Pairs in Tweet in G2:
[37] #didyouknow,promoting [37] promoting,gender [37] gender,equality [37] equality,key [37] key,advancing [37] advancing,women [37] women,health [37] health,rights [37] rights,join [37] unfpa,specialolympics Top Word Pairs in Tweet in G3:
[254] sanju_verma_,ttindia [234] 17,25 [234] 25,stake [234] stake,#worldbank [234] #worldbank,wb [234] wb,president [234] president,inception [234] inception,citizen [232] ttindia,17 [231] citizen,ma Top Word Pairs in Tweet in G4:
[67] #climatechange,seriously [67] seriously,threatens [67] threatens,sustainable [67] sustainable,development [67] development,poverty [67] poverty,reduction [67] reduction,#africa [67] #africa,discover [65] worldbankafrica,#climatechange [65] discover,worldban Top Word Pairs in Tweet in G5:
[202] focus,bbi [202] bbi,constt [202] constt,nal [202] nal,changes [202] changes,priority [202] priority,global [202] global,recession [202] recession,looms [202] looms,global [202] global,gdp Top Word Pairs in Tweet in G6:
[28] eduminofindia,worldbank [23] aún,mayor [23] mayor,desigualdad [23] desigualdad,oportunidades [23] oportunidades,educativas [23] educativas,potencialmente [23] potencialmente,impacto [23] impacto,negativo [23] negativo,grave [22] social,experience Top Word Pairs in Tweet in G7:
[45] world,bank [28] over,past [28] past,years [26] bank,group [20] solar,energy [19] #climateactionwbg,#wbg_biggerpicture [19] climate,finance [16] countries,potential [16] potential,electricity [16] electricity,generation Top Word Pairs in Tweet in G8:
[21] covid,19 [19] world,bank [9] test,kits [8] executive,director [8] ಕ,ರ [7] appointed,executive [7] क,त [7] human,capital [5] medical,test [5] exports,country Top Word Pairs in Tweet in G9:
[59] fight,#endcorruption [59] unodc,ghadafathiwaly [57] #endcorruption,works [57] works,doesn [57] doesn,join [57] join,mari_pangestu [57] mari_pangestu,unodc [32] wbg_gov,fight [32] ghadafathiwaly,anticorrup [15] progress,being Top Word Pairs in Tweet in G10:
[43] young,professionals [30] professionals,program [22] world,bank [21] group,young [17] bank,group [13] calling,young [13] professionals,world [13] program,wbg [13] wbg,ypp [13] ypp,accepting 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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