The graph represents a network of 6,057 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, 02 June 2022 at 12:27 UTC.
The requested start date was Thursday, 02 June 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 2-day, 11-hour, 2-minute period from Monday, 30 May 2022 at 12:58 UTC to Thursday, 02 June 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 : 6057
Unique Edges : 6943
Edges With Duplicates : 16548
Total Edges : 23491
Number of Edge Types : 5
Mentions : 6973
Retweet : 5796
MentionsInRetweet : 9467
Replies to : 788
Tweet : 467
Self-Loops : 503
Reciprocated Vertex Pair Ratio : 0.0112385497652221
Reciprocated Edge Ratio : 0.0222272969475527
Connected Components : 288
Single-Vertex Connected Components : 137
Maximum Vertices in a Connected Component : 5323
Maximum Edges in a Connected Component : 22628
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.11608
Graph Density : 0.000358139942671438
Modularity : 0.418431
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,057 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, 02 June 2022 at 12:27 UTC.
The requested start date was Thursday, 02 June 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 2-day, 11-hour, 2-minute period from Monday, 30 May 2022 at 12:58 UTC to Thursday, 02 June 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:
[1246] world,bank [1098] ethiopia,eritrea [1097] tigrayans,impunity [1097] impunity,worldbank [1097] worldbank,reportedly [1097] reportedly,trying [1097] trying,funnel [1094] eritrea,continue [1091] continue,exterminate [1091] exterminate,tigrayans Top Word Pairs in Tweet in G1:
[746] ethiopia,eritrea [746] eritrea,continue [746] continue,exterminate [746] exterminate,tigrayans [746] tigrayans,impunity [746] impunity,worldbank [746] worldbank,reportedly [746] reportedly,trying [746] trying,funnel [736] funnel,additiona Top Word Pairs in Tweet in G2:
[979] world,bank [588] #ethiopian,gov [434] 300,mil [434] mil,grant [407] grant,world [394] bank,support [394] support,people [394] people,urge [394] urge,#ethiopia [394] #ethiopia,#endtigraysiege Top Word Pairs in Tweet in G3:
[101] worldbankafrica,worldbank [55] iea,irena [55] irena,unstats [54] join,online [48] #africaknowledgefest,explore [46] online,#africaknowledgefest [46] #africa,development [45] worldbank,believe [45] believe,successful [45] successful,approach Top Word Pairs in Tweet in G4:
[49] kp's,flagship [49] flagship,healthcare [49] healthcare,public [49] public,private [49] private,partnership [49] partnership,endorsed [49] endorsed,worldbank [49] worldbank,affiliate [49] affiliate,organisation [49] organisation,ifc_org Top Word Pairs in Tweet in G5:
[13] social,protection [12] stay,connected [12] connected,sess [12] sess,launching [12] launching,social [12] social,inequality [12] inequality,lab [12] lab,economic [12] economic,growth [12] growth,forecasting Top Word Pairs in Tweet in G6:
[24] world,bank [10] க,க [8] #imf,#worldbank [5] 700,million [5] sri,lanka [5] உலக,வங [5] வங,க [5] #worldbank,#srilanka [5] carbon,pricing [4] #worldbank,disburse Top Word Pairs in Tweet in G7:
[12] wef,worldbank [10] ft,mckinsey [10] mckinsey,eucyclistsfed [10] eucyclistsfed,wca_cycling [10] wca_cycling,cycling_ind_eu [10] cycling_ind_eu,tuminitiative [10] tuminitiative,wef [10] worldbank,autonomy [9] imfnews,worldbank [9] worldbank,imfnews Top Word Pairs in Tweet in G8:
[38] narendramodi,pmoindia [37] finminindia,nsitharaman [36] pmoindia,rbi [36] rbi,finminindia [36] icj_asia,abpnews [34] nsitharaman,#boycottunitybanksfb [34] #boycottunitybanksfb,#pmcbankcrisis [34] #pmcbankcrisis,icj_asia [19] abpnews,mumbaimirror [18] mumbaimirror,httweets Top Word Pairs in Tweet in G9:
[20] many,women [20] women,india's [20] india's,villages [20] villages,#ruralroads [20] #ruralroads,built [20] built,under [20] under,flagship [20] flagship,pradhan [20] pradhan,mantri [20] mantri,gram Top Word Pairs in Tweet in G10:
[4] worldbank,unicef [3] unops,worldbank [3] unicef,worldbank [3] please,support [3] support,armenians [3] armenians,need [3] need,please [3] please,donate [3] donate,food [3] food,clothes Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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