The graph represents a network of 6,992 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, 25 August 2022 at 12:28 UTC.
The requested start date was Thursday, 25 August 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, 2-hour, 6-minute period from Sunday, 21 August 2022 at 21:42 UTC to Wednesday, 24 August 2022 at 23:49 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 : 6992
Unique Edges : 8306
Edges With Duplicates : 19373
Total Edges : 27679
Number of Edge Types : 5
Retweet : 5438
MentionsInRetweet : 9333
Replies to : 1000
Mentions : 11298
Tweet : 610
Self-Loops : 688
Reciprocated Vertex Pair Ratio : 0.00833036667853329
Reciprocated Edge Ratio : 0.0165230899590453
Connected Components : 387
Single-Vertex Connected Components : 184
Maximum Vertices in a Connected Component : 5997
Maximum Edges in a Connected Component : 26413
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.29154
Graph Density : 0.000289723596896566
Modularity : 0.387802
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 6,992 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, 25 August 2022 at 12:28 UTC.
The requested start date was Thursday, 25 August 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, 2-hour, 6-minute period from Sunday, 21 August 2022 at 21:42 UTC to Wednesday, 24 August 2022 at 23:49 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:
[979] millions,#tigray [976] need,urgent [975] #tigray,need [975] urgent,humanitarian [975] humanitarian,assistance [963] assistance,suffering [963] suffering,dire [963] dire,famine [963] famine,lack [926] lack,medication Top Word Pairs in Tweet in G1:
[417] food,price [412] price,inflation [336] 10,countries [336] countries,highest [336] highest,food [324] latest,worldbank [324] worldbank,assessment [322] inflation,latest [319] below,10 [313] worldbank,below Top Word Pairs in Tweet in G2:
[971] millions,#tigray [967] #tigray,need [967] need,urgent [967] urgent,humanitarian [967] humanitarian,assistance [955] assistance,suffering [955] suffering,dire [955] dire,famine [955] famine,lack [918] lack,medication Top Word Pairs in Tweet in G3:
[60] young,professionals [52] worldbank,group [48] food,price [44] price,inflation [39] world,water [39] water,week [39] learn,more [38] climate,finance [36] world,bank [35] wbg_climate,know Top Word Pairs in Tweet in G4:
[223] worldbank,unhumanrights [188] amnesty,worldbank [187] ap,nytimes [187] bbc,unhcr [186] wfp,unesco [181] nytimes,reuters [181] reuters,bbc [180] unhcr,amnesty [152] unesco,ap [150] unhumanrights,#oromovoice Top Word Pairs in Tweet in G5:
[25] world,bank [10] #worldbank,resumes [10] resumes,#mozambique [10] #mozambique,budget [10] budget,support [10] support,#africa [10] #africa,#finance [8] gt,gt [5] price,inflation [5] 10,countries Top Word Pairs in Tweet in G6:
[21] worldbank,unicef [13] #ticad8,side [13] side,event [12] afdb_group,worldbank [12] icopanhagen,day [12] day,plenary [12] plenary,#johnreeder [12] #johnreeder,tdr [12] tdr,#tropicaldiseases [12] #tropicaldiseases,tdrnews Top Word Pairs in Tweet in G7:
[89] international,community [88] rebuild,war [88] war,torn [88] torn,areas [87] grant,loan [87] loan,international [87] community,provided [87] provided,rebuild [87] areas,abiy [87] abiy,used Top Word Pairs in Tweet in G8:
[52] afghanistan,children [52] children,month [52] month,old [52] old,sabera [52] sabera,receiving [52] receiving,lifesaving [52] lifesaving,health [52] health,treatment [52] treatment,support [52] support,unicefafg Top Word Pairs in Tweet in G9:
[53] muchos,países [52] creciente,#deuda [52] #deuda,precios [52] precios,precedentes [52] precedentes,productos [52] productos,básicos [52] básicos,están [52] están,tentando [52] tentando,muchos [52] países,ofrecer Top Word Pairs in Tweet in G10:
[25] ministry_lands,handed [25] handed,over [25] over,land [25] land,titles [25] titles,597 [25] 597,families [25] families,greater [25] greater,ankole [25] ankole,subregion [25] president,museveni 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 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:
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: