The graph represents a network of 6,145 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 March 2022 at 12:31 UTC.
The requested start date was Thursday, 24 March 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, 0-hour, 0-minute period from Monday, 21 March 2022 at 00:00 UTC to Thursday, 24 March 2022 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 : 6145
Unique Edges : 5961
Edges With Duplicates : 20225
Total Edges : 26186
Number of Edge Types : 5
Retweet : 5650
Tweet : 422
MentionsInRetweet : 9251
Mentions : 10034
Replies to : 829
Self-Loops : 500
Reciprocated Vertex Pair Ratio : 0.0127282789153293
Reciprocated Edge Ratio : 0.0251366120218579
Connected Components : 259
Single-Vertex Connected Components : 114
Maximum Vertices in a Connected Component : 5450
Maximum Edges in a Connected Component : 25270
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.796709
Graph Density : 0.000339293887306753
Modularity : 0.383008
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,145 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 March 2022 at 12:31 UTC.
The requested start date was Thursday, 24 March 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, 0-hour, 0-minute period from Monday, 21 March 2022 at 00:00 UTC to Thursday, 24 March 2022 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:
[1325] clean,water [1322] provision,clean [1322] water,seriously [1322] seriously,disrupted [1322] state,gidena [1322] gidena,medhim [1322] medhim,vice [1322] vice,head [1322] head,water [1319] disrupted,tigray Top Word Pairs in Tweet in G1:
[1245] clean,water [1242] provision,clean [1242] water,seriously [1242] seriously,disrupted [1242] state,gidena [1242] gidena,medhim [1242] medhim,vice [1242] vice,head [1242] head,water [1239] disrupted,tigray Top Word Pairs in Tweet in G2:
[1235] pakistan,outranks [1235] outranks,south [1235] south,asian [1235] asian,countries [1235] countries,lowest [1235] lowest,employment [1235] employment,rates [1235] rates,region [1235] region,unemployed [1235] unemployed,population Top Word Pairs in Tweet in G3:
[69] rbi,finminindia [66] narendramodi,pmoindia [66] pmoindia,rbi [66] finminindia,nsitharaman [66] icj_asia,abpnews [57] abpnews,mumbaimirror [57] eu_commission,intlcrimcourt [56] us_cybercom,deptofdefense [56] deptofdefense,imfnews [56] imfnews,ustreasury Top Word Pairs in Tweet in G4:
[44] forest,conservation [43] trees,more [43] more,valuable [43] valuable,standing [43] standing,cut [43] cut,down [43] down,see [43] see,forest [43] conservation,programs [43] programs,developing Top Word Pairs in Tweet in G5:
[24] 2020,2022 [20] world,bank [14] south,asia [13] source,worldbank [13] worldbank,data [13] data,2020 [12] unemployed,population [11] south,asian [11] population,rate [11] rate,south Top Word Pairs in Tweet in G6:
[14] kgeorgieva,worldbank [12] imf,md [12] md,kgeorgieva [12] worldbank,vp [12] vp,#africa [12] #africa,hafezghanem_wb [12] hafezghanem_wb,yesterday [12] yesterday,part [11] part,visit [9] meetings,imf Top Word Pairs in Tweet in G7:
[20] newglobe,agrees [20] agrees,wbg_education [20] wbg_education,need [20] need,address [20] address,#learning [20] #learning,losses [20] losses,supporting [20] supporting,teachers [20] teachers,structured [19] newglobeedu,newglobe Top Word Pairs in Tweet in G8:
[29] bancomundialarg,#argentina [29] #argentina,suficiente [29] suficiente,agua [29] agua,calidad [29] calidad,cantidad [29] cantidad,usos [29] usos,domésticos [29] domésticos,productivos [29] productivos,ambientales [12] mujeres,siguen Top Word Pairs in Tweet in G9:
[8] र,ग [8] क,द [8] प,लन [7] र,क [6] virtual,seminar [5] द,व [5] व,र [4] च,र [4] ग,पर [4] पर,य Top Word Pairs in Tweet in G10:
[15] mucheru,hansen_wb [15] hansen_wb,augustinemayabi [15] kyeop_kenya,kcbgroup [14] bizmbele,mucheru [14] augustinemayabi,moictkenya [14] moictkenya,sdy_ke [14] sdy_ke,kyeop_kenya [10] masterofoyster,bizmbele [9] chequesonly,masterofoyster [8] kcbgroup,kanzedena 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: