The graph represents a network of 5,621 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, 19 September 2019 at 12:42 UTC.
The requested start date was Thursday, 19 September 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 22-hour, 54-minute period from Tuesday, 17 September 2019 at 01:05 UTC to Wednesday, 18 September 2019 at 23:59 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 : 5621
Unique Edges : 9156
Edges With Duplicates : 6161
Total Edges : 15317
Number of Edge Types : 3
Mentions : 14145
Replies to : 600
Tweet : 572
Self-Loops : 572
Reciprocated Vertex Pair Ratio : 0.0157525693977524
Reciprocated Edge Ratio : 0.031016548463357
Connected Components : 264
Single-Vertex Connected Components : 150
Maximum Vertices in a Connected Component : 4962
Maximum Edges in a Connected Component : 14623
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.608124
Graph Density : 0.000334757622818852
Modularity : 0.546224
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[210] worldbank,imfnews [182] vice,president [174] president,profosinbajo [173] world,bank [165] earlier,today [161] श,क [159] र,य [158] न,स [158] प,रक [158] रक,र Top Word Pairs in Tweet in G1:
[91] worldbank,new [86] new,country [86] country,classifications [86] classifications,income [86] income,level [86] level,2019 [86] 2019,2020 [47] developing,countries [45] million,children [40] pilot,program Top Word Pairs in Tweet in G2:
[160] श,क [158] worldbank,pmoindia [156] श,म [156] भर,त [155] #69000_य,ग [155] ग,य_श [155] य_श,क [155] क,षक_ल [155] षक_ल,च [155] च,र Top Word Pairs in Tweet in G3:
[46] economic,growth [44] worldbank,report [41] climate,related [41] related,risks [41] risks,affect [41] affect,health [41] health,food [41] food,security [41] security,water [41] water,supply Top Word Pairs in Tweet in G4:
[180] vice,president [173] president,profosinbajo [137] earlier,today [113] presidential,villa [113] villa,receive [113] receive,delegation [111] joined,h [111] h,e [109] today,joined [109] e,vice Top Word Pairs in Tweet in G5:
[33] ministers,deliver [27] masoodcgd,billsavedoff [26] win,win [25] better,together [25] together,finance [25] deliver,win [25] win,countries [22] managers,manage [17] finance,#health [17] #health,ministers Top Word Pairs in Tweet in G6:
[25] world,bank [13] nợ,xấu [13] xấu,lỗi [13] lỗi,tại [13] tại,ai [10] innovation,technology [9] harvesting,prosperity [9] prosperity,through [9] through,innovation [9] technology,agriculture Top Word Pairs in Tweet in G7:
[38] mirada,#agricultura [38] #agricultura,datos [38] datos,nos [38] nos,muestra [38] muestra,necesidad [38] necesidad,aumentar [38] aumentar,productividad [38] productividad,manera [38] manera,beneficie [37] bancomundial,mirada Top Word Pairs in Tweet in G8:
[22] means,more [17] teacherprize,winner [16] winner,petertabichi [12] petertabichi,speaking [12] speaking,passion [12] passion,strong [12] strong,belief [12] belief,students [11] men,getting [11] getting,married Top Word Pairs in Tweet in G9:
[78] thanks,#swedd [78] #swedd,more [78] more,70 [78] 70,000 [78] 000,girls [78] girls,precarious [78] precarious,situations [78] situations,stay [78] stay,school [78] school,#niger Top Word Pairs in Tweet in G10:
[27] intern'l,org [25] org,sanctioned [25] sanctioned,rs [25] rs,3 [25] 3,000 [25] 000,crore [25] crore,aid [25] aid,food [25] food,parks [25] parks,india 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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