The graph represents a network of 7,628 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, 09 June 2022 at 12:34 UTC.
The requested start date was Thursday, 09 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, 16-hour, 23-minute period from Monday, 06 June 2022 at 07:37 UTC to Thursday, 09 June 2022 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 : 7628
Unique Edges : 9193
Edges With Duplicates : 15020
Total Edges : 24213
Number of Edge Types : 5
Mentions : 8488
MentionsInRetweet : 9011
Retweet : 4782
Tweet : 966
Replies to : 966
Self-Loops : 1033
Reciprocated Vertex Pair Ratio : 0.0147899399828522
Reciprocated Edge Ratio : 0.0291487713863268
Connected Components : 658
Single-Vertex Connected Components : 385
Maximum Vertices in a Connected Component : 6040
Maximum Edges in a Connected Component : 21984
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.710869
Graph Density : 0.000244126911204495
Modularity : 0.482815
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 7,628 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, 09 June 2022 at 12:34 UTC.
The requested start date was Thursday, 09 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, 16-hour, 23-minute period from Monday, 06 June 2022 at 07:37 UTC to Thursday, 09 June 2022 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:
[1027] world,bank [457] bank,support [457] support,people [453] people,urge [453] urge,#ethiopia [302] #worldbankstopfundingtigraygenocideif,world [301] growth,forecast [297] #ethiopia,#endtigraysiege [274] #ethiopian,gov [259] women,girls Top Word Pairs in Tweet in G1:
[104] world,bank [75] 49,billion [73] global,economic [68] denys_shmyhal,worldbank [55] ifc_org,worldbank [55] economic,prospects [48] worldbank,approved [46] war,ukraine [45] climate,change [45] additional,49 Top Word Pairs in Tweet in G2:
[523] world,bank [452] bank,support [452] support,people [452] people,urge [452] urge,#ethiopia [301] #worldbankstopfundingtigraygenocideif,world [296] #ethiopia,#endtigraysiege [273] #ethiopian,gov [256] 120k,women [256] women,girls Top Word Pairs in Tweet in G3:
[17] statistics,online [17] online,sol [14] introducing,statistics [14] sol,platform [14] platform,allows [14] allows,users [14] users,conduct [14] conduct,computations [14] computations,directly [13] #trackingsdg7,report Top Word Pairs in Tweet in G4:
[101] world,bank [42] growth,forecast [31] global,growth [16] global,economic [15] economic,growth [14] #worldbank,#gdp [14] june,2022 [12] bank,warns [12] many,countries [12] 49,billion Top Word Pairs in Tweet in G5:
[49] water,sanitation [26] rural,areas [25] finminindia,nsitharaman [24] worldbankwater,water [21] central,asia [17] groundwater,quality [17] lack,access [16] public,health [16] economic,growth [16] invasión,rusa Top Word Pairs in Tweet in G6:
[36] global,growth [35] growth,expected [35] expected,slump [35] slump,2021 [35] 2021,2022 [35] 2022,significantly [35] significantly,lower [35] lower,previously [35] previously,reported [34] wb_research,global Top Word Pairs in Tweet in G7:
[120] free,society [120] society,help [120] help,many [120] many,poor [120] poor,save [120] save,few [120] few,rich [120] rich,john [120] john,kenedy [120] kenedy,#feedthepoor Top Word Pairs in Tweet in G8:
[11] world,bank [11] ehabkha67866211,atiqman [10] learn,more [10] oceans,full [10] full,life [10] life,resources [10] resources,boost [10] global,growth [10] average,south [10] south,asia Top Word Pairs in Tweet in G9:
[93] barneyjopson,martinwolf_ [93] martinwolf_,berthofmanecon [93] berthofmanecon,keyujin [93] keyujin,michaelxpettis [93] michaelxpettis,pku1898 [93] pku1898,tomhale_ [93] tomhale_,nusingapore [93] nusingapore,lsenews [93] lsenews,jonthn_wheatley [62] ftlive,barneyjopson Top Word Pairs in Tweet in G10:
[90] growth,forecast [83] forecast,current [59] #worldbank,downgraded [59] downgraded,india [59] india,growth [59] current,financial [59] financial,year [59] year,ie [59] ie,fy23 [59] fy23,big 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:
Top Tweeters in G1:
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Top Tweeters in G10: