The graph represents a network of 7,506 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, 28 January 2021 at 13:34 UTC.
The requested start date was Thursday, 28 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 6-day, 13-hour, 11-minute period from Thursday, 21 January 2021 at 11:48 UTC to Thursday, 28 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 : 7506
Unique Edges : 10123
Edges With Duplicates : 24653
Total Edges : 34776
Number of Edge Types : 5
Retweet : 5185
MentionsInRetweet : 14653
Mentions : 13152
Replies to : 1135
Tweet : 651
Self-Loops : 790
Reciprocated Vertex Pair Ratio : 0.0159710524674028
Reciprocated Edge Ratio : 0.0314399754375192
Connected Components : 355
Single-Vertex Connected Components : 142
Maximum Vertices in a Connected Component : 6441
Maximum Edges in a Connected Component : 33338
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.482022
Graph Density : 0.000289086962719409
Modularity : 0.381307
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 7,506 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, 28 January 2021 at 13:34 UTC.
The requested start date was Thursday, 28 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 6-day, 13-hour, 11-minute period from Thursday, 21 January 2021 at 11:48 UTC to Thursday, 28 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:
[568] sirgrahambrady,charleswalkermp [568] charleswalkermp,bobblackman [564] bobblackman,sheryllmurray [555] sheryllmurray,pbottomleymp [501] pbottomleymp,william_wragg [347] world,bank [339] covid,19 [297] alisonp51046392,sirgrahambrady [269] william_wragg,10downingstreet [237] timexcludeduk,alisonp51046392 Top Word Pairs in Tweet in G1:
[197] meeting,worldbank [197] worldbank,appraisal [197] appraisal,mission [197] mission,#ehsaas [193] sanianishtar,meeting [169] covid,19 [158] لا,تتركوا [158] تتركوا,الناس [158] الناس,تموت [158] تموت,جوعا Top Word Pairs in Tweet in G2:
[83] #covid19,vaccines [62] worldbank,group [61] approved,first [60] worldbanklive,virtual [60] virtual,event [52] jan,28 [50] during,#covid19 [50] worldbank,unicef [46] covid,19 [46] 28,worldbanklive Top Word Pairs in Tweet in G3:
[234] pmoindia,rbi [197] narendramodi,pmoindia [195] rbi,finminindia [195] finminindia,nsitharaman [195] nsitharaman,fayedsouza [184] sunnyfernandes,narendramodi [181] icj_asia,abpnews [178] abpnews,mumbaimirror [136] fayedsouza,icj_asia [64] abdullabawazir1,sunnyfernandes Top Word Pairs in Tweet in G4:
[132] sftas,program [131] 18,million [131] program,supported [129] million,nigeriagov's [129] nigeriagov's,sftas [111] state,govts [110] hello,nigerians [110] nigerians,know [110] know,state [110] govts,18 Top Word Pairs in Tweet in G5:
[568] sirgrahambrady,charleswalkermp [568] charleswalkermp,bobblackman [564] bobblackman,sheryllmurray [555] sheryllmurray,pbottomleymp [501] pbottomleymp,william_wragg [297] alisonp51046392,sirgrahambrady [269] william_wragg,10downingstreet [237] timexcludeduk,alisonp51046392 [215] william_wragg,10downingstr [172] 10downingstreet,joebiden Top Word Pairs in Tweet in G6:
[62] independencia,bancos [62] bancos,centrales [54] ayer,publicó [54] publicó,artículo [54] artículo,investigadores [54] investigadores,bancomundial [54] bancomundial,referente [54] referente,relación [53] dolarizacionec,ayer [53] relación,independe Top Word Pairs in Tweet in G7:
[11] results,based [8] 10,years [8] years,sdg [8] sdg,deadline [8] systems,place [8] caricomorg,worldbank_ieg [7] based,management [7] under,10 [7] deadline,countries [7] countries,monitoring Top Word Pairs in Tweet in G8:
[20] world,bank [13] covid,19 [4] bank,group [4] see,more [3] private,sector [3] 19,vaccine [3] million,people [3] dr,mengele [3] monetary,policy [3] #amitshah,#rajnathsingh Top Word Pairs in Tweet in G9:
[49] worldbankindia,worldbank [49] worldbank,adb_hq [49] adb_hq,worldresources [47] worldresources,wriclimate [47] wriclimate,unep [32] register,worldbankindia [31] vijayne11088447,register [31] unep,unep_asiap [16] unep,unep_asiapac [16] unep_asiapac,undp Top Word Pairs in Tweet in G10:
[23] lessons,influence [23] influence,policy [23] policy,evidence [23] evidence,oxfam [23] oxfam,experience [22] daveevansphd,lessons [22] experience,marku [16] malaysia,language [16] language,teaching [16] teaching,schools Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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