The graph represents a network of 5,985 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, 16 September 2021 at 12:32 UTC.
The requested start date was Thursday, 16 September 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, 45-minute period from Monday, 13 September 2021 at 11:09 UTC to Wednesday, 15 September 2021 at 23:55 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 : 5985
Unique Edges : 6902
Edges With Duplicates : 23495
Total Edges : 30397
Number of Edge Types : 5
Retweet : 4310
MentionsInRetweet : 8513
Replies to : 2013
Mentions : 14976
Tweet : 585
Self-Loops : 723
Reciprocated Vertex Pair Ratio : 0.0180410102965766
Reciprocated Edge Ratio : 0.0354426002766252
Connected Components : 333
Single-Vertex Connected Components : 166
Maximum Vertices in a Connected Component : 5111
Maximum Edges in a Connected Component : 29156
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.224354
Graph Density : 0.00032300001340249
Modularity : 0.302472
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 5,985 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, 16 September 2021 at 12:32 UTC.
The requested start date was Thursday, 16 September 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, 45-minute period from Monday, 13 September 2021 at 11:09 UTC to Wednesday, 15 September 2021 at 23:55 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:
[1137] #ugandaisbleeding,#stopsponsoringouroppression [953] human,rights [943] rights,abuses [926] talk,#climatechange [926] #climatechange,talk [926] talk,human [926] abuses,dictators [925] dictators,countries [901] kgeorgieva,pvv_gca [844] pvv_gca,talk Top Word Pairs in Tweet in G1:
[236] 216,million [209] climate,migration [204] climate,change [193] million,people [150] worldbank,report [134] worldbank,release [134] release,funds [133] funds,2331 [133] 2331,hospitals [133] hospitals,clinics Top Word Pairs in Tweet in G2:
[149] 216,million [145] million,people [141] within,countries [139] people,migrate [133] countries,2050 [132] migrate,within [112] force,216 [111] #groundswell,report [109] #climatechange,force [105] news,#climatechange Top Word Pairs in Tweet in G3:
[1137] #ugandaisbleeding,#stopsponsoringouroppression [949] human,rights [943] rights,abuses [926] talk,#climatechange [926] #climatechange,talk [926] talk,human [926] abuses,dictators [925] dictators,countries [901] kgeorgieva,pvv_gca [844] pvv_gca,talk Top Word Pairs in Tweet in G4:
[20] world,bank [17] climate,change [14] million,people [10] climate,migration [9] internal,climate [9] 216,million [8] people,migrate [7] acting,internal [6] groundswell,acting [6] within,countries Top Word Pairs in Tweet in G5:
[37] narendramodi,pmoindia [37] pmoindia,rbi [37] rbi,finminindia [37] finminindia,nsitharaman [36] nsitharaman,fayedsouza [33] icj_asia,abpnews [33] abpnews,mumbaimirror [31] fayedsouza,#pmcbankcrisis [29] #pmcbankcrisis,icj_asia [25] sambitswaraj,rahulgandhi Top Word Pairs in Tweet in G6:
[35] economic,growth [29] worldbank,predicted [29] predicted,economic [25] augustine_orina,worldbank [19] economic,update [18] despite,fake [18] 6th,edition [17] edition,somali [17] somali,economic [17] year's,theme Top Word Pairs in Tweet in G7:
[27] worldbank,oecd [20] eu_commission,eurightsagency [19] unesco,worldbank [18] worldbank,unicef [18] oecd,eu_commission [18] eurightsagency,the_idb [18] worldbank,imfnews [14] imfnews,oecd [14] coe,jkleijssen [14] jkleijssen,unesco Top Word Pairs in Tweet in G8:
[34] wp,ungated [34] ungated,fkondylis [34] fkondylis,ask [34] ask,need [34] need,big [34] big,push [34] push,lift [34] lift,households [33] loeserjohn,wp [30] pool,together Top Word Pairs in Tweet in G9:
[43] imfnews,worldbank [43] xhnews,pdchina [42] bufan78266400,z4xi1204 [42] z4xi1204,c7sn19rm36sohow [42] c7sn19rm36sohow,wwgoyu [42] wwgoyu,cnewsgovhk [42] cnewsgovhk,iranprimer [42] iranprimer,chinascio [42] chinascio,xhnews [42] pdchina,chineseembinus Top Word Pairs in Tweet in G10:
[22] worldbank,group [22] group,wbg [16] volcano,region [15] wbg,rwb [15] rwb,conducted [15] conducted,field [15] field,visit [15] visit,#rwanda's [15] #rwanda's,volcano [15] region,assess Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G9:
Top Tweeters in G10: