The graph represents a network of 5,129 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, 01 July 2021 at 12:31 UTC.
The requested start date was Thursday, 01 July 2021 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 2-day, 12-hour, 2-minute period from Monday, 28 June 2021 at 11:58 UTC to Thursday, 01 July 2021 at 00:00 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 : 5129
Unique Edges : 6862
Edges With Duplicates : 31090
Total Edges : 37952
Number of Edge Types : 5
Retweet : 4550
MentionsInRetweet : 11570
Replies to : 2750
Mentions : 18660
Tweet : 422
Self-Loops : 712
Reciprocated Vertex Pair Ratio : 0.0114532960040723
Reciprocated Edge Ratio : 0.0226472068444892
Connected Components : 227
Single-Vertex Connected Components : 107
Maximum Vertices in a Connected Component : 4513
Maximum Edges in a Connected Component : 37048
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.651072
Graph Density : 0.000453281925388928
Modularity : 0.254537
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 5,129 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, 01 July 2021 at 12:31 UTC.
The requested start date was Thursday, 01 July 2021 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 2-day, 12-hour, 2-minute period from Monday, 28 June 2021 at 11:58 UTC to Thursday, 01 July 2021 at 00:00 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:
[1597] #ugandaisbleeding,#stoploaninguganda [1448] imfnews,worldbank [1118] instead,condemning [1106] busy,funding [1104] uganda,busy [1103] going,kidnaps [1102] worldbank,instead [1102] kidnaps,abductions [1097] abductions,killings [1097] killings,uganda Top Word Pairs in Tweet in G1:
[109] covid,19 [95] developing,countries [86] world,bank [83] action,plan [70] climate,change [66] climate,action [63] learn,more [61] worldbank,group [57] davidmalpasswbg,worldbank [57] foe_us,worldbank Top Word Pairs in Tweet in G2:
[1596] #ugandaisbleeding,#stoploaninguganda [1341] imfnews,worldbank [1110] instead,condemning [1097] busy,funding [1095] going,kidnaps [1095] uganda,busy [1094] worldbank,instead [1094] kidnaps,abductions [1089] abductions,killings [1087] killings,uganda Top Word Pairs in Tweet in G3:
[9] کے,لیے [7] wef,worldbank [6] worldbank,margaretatwood [6] darpa,randcorporation [5] brendan_beck3,ncaacws [5] ncaacws,cern [5] cern,starwars [5] starwars,policebern [5] policebern,secretservice [5] secretservice,pontifex Top Word Pairs in Tweet in G4:
[226] abogada,ecuador [226] ecuador,ante [226] ante,ciadi [226] ciadi,hija [226] hija,presidente [226] presidente,corte [226] corte,condtitucional [225] ecuarauz,abogada [14] movilidad,social [14] social,intergeneracional Top Word Pairs in Tweet in G5:
[6] today,start [6] start,mandate [6] mandate,management [6] management,committee [6] committee,globalcompact [6] globalcompact,network [6] network,singapore [6] singapore,representing [6] representing,eurochamsg [5] fededonato1,today Top Word Pairs in Tweet in G6:
[38] global,cbdc [38] cbdc,challenge [34] imfnews,worldbank [25] worldbank,adb_hq [23] launch,global [23] adb_hq,uncdf [23] uncdf,refugees [23] refugees,undp [23] undp,oecd [22] mas,announced Top Word Pairs in Tweet in G7:
[93] breaking,fascist [93] fascist,regime [93] regime,abiyahmedali [93] abiyahmedali,frozen [93] frozen,bank [93] bank,accounts [93] accounts,#tigrayans [93] #tigrayans,depriving [37] depriving,har [31] imfnews,worldbank Top Word Pairs in Tweet in G8:
[73] plan,rebuild [73] rebuild,report [73] report,urges [73] urges,#southsudan [73] #southsudan,adjust [73] adjust,public [73] public,policies [73] policies,support [73] support,jobs [73] jobs,calls Top Word Pairs in Tweet in G9:
[15] learning,poverty [12] unicef,unesco [12] unesco,worldbank [12] july,30 [12] worldbank,unescostat [11] unicef,worldbank [11] global,education [10] covid,19 [10] millions,children [10] unesco,unicef Top Word Pairs in Tweet in G10:
[199] rbi,finminindia [198] narendramodi,pmoindia [198] pmoindia,rbi [198] finminindia,nsitharaman [198] nsitharaman,fayedsouza [198] icj_asia,abpnews [190] abpnews,mumbaimirror [186] sunnyfernandes,narendramodi [161] fayedsouza,icj_asia [61] bhatsunils,sunnyfernandes Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: