The graph represents a network of 7,076 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, 21 January 2021 at 13:35 UTC.
The requested start date was Thursday, 21 January 2021 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 3-day, 10-hour, 18-minute period from Sunday, 17 January 2021 at 14:42 UTC to Thursday, 21 January 2021 at 01:00 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 : 7076
Unique Edges : 9208
Edges With Duplicates : 31184
Total Edges : 40392
Number of Edge Types : 5
Replies to : 1037
Mentions : 14201
Retweet : 5211
MentionsInRetweet : 19221
Tweet : 722
Self-Loops : 848
Reciprocated Vertex Pair Ratio : 0.0150288268445942
Reciprocated Edge Ratio : 0.0296126108877401
Connected Components : 383
Single-Vertex Connected Components : 154
Maximum Vertices in a Connected Component : 5776
Maximum Edges in a Connected Component : 38426
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.513627
Graph Density : 0.000312987513657873
Modularity : 0.328393
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 7,076 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, 21 January 2021 at 13:35 UTC.
The requested start date was Thursday, 21 January 2021 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 3-day, 10-hour, 18-minute period from Sunday, 17 January 2021 at 14:42 UTC to Thursday, 21 January 2021 at 01:00 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:
[947] pmoindia,rbi [918] narendramodi,pmoindia [910] rbi,finminindia [910] finminindia,nsitharaman [910] nsitharaman,fayedsouza [872] sunnyfernandes,narendramodi [864] icj_asia,abpnews [837] abpnews,mumbaimirror [707] fayedsouza,icj_asia [317] sirgrahambrady,charleswalkermp Top Word Pairs in Tweet in G1:
[146] covid,19 [114] income,countries [104] lower,income [100] everyone,experience [100] experience,effects [100] effects,#climatechange [100] #climatechange,effects [100] effects,felt [100] felt,equally [100] equally,lower Top Word Pairs in Tweet in G2:
[179] imfnews,worldbank [154] igguganda,rebeccakadagaug [154] rebeccakadagaug,bou_official [154] afdb_group,pta_bank [153] bou_official,aselassie [153] aselassie,afdb_group [152] worldbank,kagutamuseveni [152] kagutamuseveni,igguganda [150] pta_bank,fmo_development [78] green,wall Top Word Pairs in Tweet in G3:
[947] pmoindia,rbi [917] narendramodi,pmoindia [910] rbi,finminindia [910] finminindia,nsitharaman [910] nsitharaman,fayedsouza [872] sunnyfernandes,narendramodi [864] icj_asia,abpnews [837] abpnews,mumbaimirror [707] fayedsouza,icj_asia [273] bhatsunils,sunnyfernandes Top Word Pairs in Tweet in G4:
[28] covid,19 [20] probable,estimaciones [20] estimaciones,históricas [20] históricas,subestimen [20] subestimen,posibles [20] posibles,efectos [20] efectos,largo [20] largo,plazo [20] plazo,covid [19] cinco,gráficos Top Word Pairs in Tweet in G5:
[36] hubli,dharwad [36] dharwad,bus [36] bus,rapid [36] rapid,transit [36] transit,system [34] heartiest,congratulations [34] congratulations,hubli [34] system,winning [34] winning,skoch [34] skoch,gold Top Word Pairs in Tweet in G6:
[316] sirgrahambrady,charleswalkermp [316] charleswalkermp,bobblackman [316] bobblackman,sheryllmurray [265] sheryllmurray,pbottomleymp [256] pbottomleymp,william_wragg [157] william_wragg,10downingstreet [146] 10downingstreet,joebiden [128] timexcludeduk,sirgrahambrady [115] valleyviewlodg1,sirgrahambrady [106] joebiden,cn Top Word Pairs in Tweet in G7:
[22] world,bank [9] covid,19 [5] pandemic,change [5] change,teach [5] teach,children [5] children,#education [4] imf,world [4] bank,group [4] subscribe,free [4] free,unleash Top Word Pairs in Tweet in G8:
[114] between,10 [114] 10,12 [114] 12,million [114] million,african [114] african,youth [114] youth,enter [114] enter,workforce [114] workforce,each [114] each,year [114] year,million Top Word Pairs in Tweet in G9:
[135] today,remember [135] remember,egyptian [135] egyptian,bread [135] bread,uprising [135] uprising,1977 [135] 1977,carried [135] carried,outby [135] outby,hundreds [135] hundreds,thousands [135] thousands,lower Top Word Pairs in Tweet in G10:
[4] alsisiofficial,pmoindia [4] pmoindia,netanyahu [4] netanyahu,khamenei_ir [4] khamenei_ir,dalailama [3] dalailama,pontifex [3] pontifex,kingsalman [3] kingsalman,basibozuk82 [3] basibozuk82,royalfamily [3] wb_research,intlcrimcourt [2] culture,care 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 G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G10: