The graph represents a network of 7,505 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 September 2020 at 12:52 UTC.
The requested start date was Thursday, 24 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 3-day, 16-hour, 3-minute period from Sunday, 20 September 2020 at 07:51 UTC to Wednesday, 23 September 2020 at 23:55 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 : 7505
Unique Edges : 9014
Edges With Duplicates : 25121
Total Edges : 34135
Number of Edge Types : 5
Retweet : 5097
MentionsInRetweet : 16971
Mentions : 10389
Replies to : 893
Tweet : 785
Self-Loops : 873
Reciprocated Vertex Pair Ratio : 0.0177385065107627
Reciprocated Edge Ratio : 0.0348586722370912
Connected Components : 442
Single-Vertex Connected Components : 174
Maximum Vertices in a Connected Component : 6151
Maximum Edges in a Connected Component : 32241
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 3.795625
Graph Density : 0.000272011267541611
Modularity : 0.376677
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 7,505 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 September 2020 at 12:52 UTC.
The requested start date was Thursday, 24 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 3-day, 16-hour, 3-minute period from Sunday, 20 September 2020 at 07:51 UTC to Wednesday, 23 September 2020 at 23:55 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:
[797] narendramodi,pmoindia [770] finminindia,nsitharaman [759] pmoindia,rbi [759] rbi,finminindia [750] nsitharaman,fayedsouza [746] abpnews,mumbaimirror [696] sunnyfernandes,narendramodi [534] mumbaimirror,mirrornow [525] fayedsouza,abpnews [352] world,bank Top Word Pairs in Tweet in G1:
[159] human,capital [103] capital,index [93] world,bank [78] climate,finance [77] gap,fund [76] government,effectiveness [72] enhancing,government [72] effectiveness,transparency [64] #covid19,pandemic [61] updated,human Top Word Pairs in Tweet in G2:
[50] worldbank,imfnews [45] tdr,global [29] fteconomics,nytimes [29] nytimes,washtimes [29] washtimes,latimes [29] latimes,time [29] imfnews,wsj [28] time,newsweek [28] newsweek,statedeptspox [28] statedeptspox,worldbank Top Word Pairs in Tweet in G3:
[148] niñez,salvador [148] salvador,será [148] será,50 [148] 50,fuerza [148] fuerza,laboral [148] laboral,2040 [148] 2040,ello [148] ello,clave [148] clave,garantizar [147] bancomundiallac,niñez Top Word Pairs in Tweet in G4:
[795] narendramodi,pmoindia [762] finminindia,nsitharaman [759] pmoindia,rbi [759] rbi,finminindia [750] nsitharaman,fayedsouza [746] abpnews,mumbaimirror [696] sunnyfernandes,narendramodi [534] mumbaimirror,mirrornow [525] fayedsouza,abpnews [221] fayedsouza,#pmcbankcrisis Top Word Pairs in Tweet in G5:
[22] covid,19 [14] world,bank [7] #vaccine,#imf [7] #imf,#covid19 [7] #covid19,#qanon [7] #qanon,#worldbank [7] #worldbank,#facemasks [7] #facemasks,#iceage [7] #iceage,#reset [5] dramatic,reductions Top Word Pairs in Tweet in G6:
[48] tenemos,prisa [48] prisa,algunos [48] algunos,niños [48] niños,están [48] están,viviendo [48] viviendo,experiencia [48] experiencia,aprendizaje [48] aprendizaje,remoto [48] remoto,razonable [48] razonable,muchos Top Word Pairs in Tweet in G7:
[101] wto,dg [100] candidates,wto [100] dg,position [100] position,#women [100] #women,organisation [100] organisation,never [100] never,female [100] female,leader [100] leader,time [100] time,#nigeria's Top Word Pairs in Tweet in G8:
[97] coltan,exports [96] rwanda,never [96] never,proven [96] proven,coltan [96] coltan,deposits [96] deposits,records [96] records,coltan [96] exports,here's [96] here's,world [96] world,bank Top Word Pairs in Tweet in G9:
[35] #wetoo,together [35] together,basic [35] basic,rights [35] rights,need [35] need,#middleclasslivesmatters [35] #middleclasslivesmatters,lcai_support [35] lcai_support,nikkhhiljethwa [34] lcai_support,#wetoo [34] nikkhhiljethwa,pmoindi [8] rohithiware,finminindia Top Word Pairs in Tweet in G10:
[8] avnish_g,instiglioinc [8] instiglioinc,dia [8] dia,martin [8] martin,dfcgov [8] dfcgov,charlottepetrig [8] charlottepetrig,unicef [7] tutorcambodia,diplomat_apac [7] diplomat_apac,lukeanthonyhunt [7] worldbank,ifc [7] hear,experts Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
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:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: