The graph represents a network of 8,089 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, 29 October 2020 at 12:38 UTC.
The requested start date was Thursday, 29 October 2020 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 3-day, 7-hour, 58-minute period from Sunday, 25 October 2020 at 15:55 UTC to Wednesday, 28 October 2020 at 23:53 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 : 8089
Unique Edges : 11061
Edges With Duplicates : 19305
Total Edges : 30366
Number of Edge Types : 5
Retweet : 4779
MentionsInRetweet : 12687
Tweet : 723
Replies to : 1253
Mentions : 10924
Self-Loops : 783
Reciprocated Vertex Pair Ratio : 0.0166607585962425
Reciprocated Edge Ratio : 0.0327754532775453
Connected Components : 441
Single-Vertex Connected Components : 189
Maximum Vertices in a Connected Component : 6903
Maximum Edges in a Connected Component : 28822
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.494272
Graph Density : 0.000263023419355809
Modularity : 0.449537
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 8,089 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, 29 October 2020 at 12:38 UTC.
The requested start date was Thursday, 29 October 2020 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 3-day, 7-hour, 58-minute period from Sunday, 25 October 2020 at 15:55 UTC to Wednesday, 28 October 2020 at 23:53 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:
[395] world,bank [339] gavi,noiweala [311] worldbank,md [309] finminindia,nsitharaman [308] former,worldbank [308] pmoindia,rbi [304] finance,minister [302] two,time [302] time,finance [302] minister,former Top Word Pairs in Tweet in G1:
[279] ashok,leyland [275] project,details [275] details,available [275] available,worldbank [275] worldbank,bus [275] bus,manufacturer [275] manufacturer,ashok [275] leyland,india [275] india,bus [275] bus,model Top Word Pairs in Tweet in G2:
[309] finminindia,nsitharaman [308] pmoindia,rbi [300] narendramodi,pmoindia [299] rbi,finminindia [299] nsitharaman,fayedsouza [296] abpnews,mumbaimirror [287] sunnyfernandes,narendramodi [244] fayedsouza,abpnews [216] mumbaimirror,mirrornow [118] bhatsunils,sunnyfernandes Top Word Pairs in Tweet in G3:
[339] gavi,noiweala [301] two,time [301] time,finance [301] finance,minister [301] minister,former [301] former,worldbank [301] worldbank,md [300] md,head [300] head,gavi [297] elected,wto Top Word Pairs in Tweet in G4:
[39] worldbankkenya,worldbankafrica [37] worldbank,worldbankkenya [36] international,organisations [34] hey,worldbank [34] worldbankafrica,remember [34] remember,international [34] organisations,view [33] armstrongtoo,hey [33] view,afr [30] worldbank,worldbankafrica Top Word Pairs in Tweet in G5:
[80] pandemia,#covid19 [79] nuestra,región [79] región,golpeada [79] golpeada,pandemia [79] #covid19,costos [79] costos,económicos [79] económicos,salud [79] salud,varían [78] bancomundiallac,nuestra [50] mira,análisis Top Word Pairs in Tweet in G6:
[54] unep,worldbank [52] unodc,ghadafathiwaly [52] ghadafathiwaly,emsfoundationsa [52] emsfoundationsa,eu_commission [52] eu_commission,unep [52] worldbank,sadc_news [51] sadc_news,afp [39] nenagh9,unodc [29] world,bank [24] bank,group Top Word Pairs in Tweet in G7:
[40] world,bank [9] covid,19 [7] banco,mundial [5] support,women [5] ghana,balancing [5] balancing,economic [5] economic,growth [5] growth,depletion [5] depletion,resources [5] resources,#ghana Top Word Pairs in Tweet in G8:
[188] hip,hip [97] ghana,back [96] back,hipc [94] hip,hullaaaaayyy [94] hullaaaaayyy,ghana [94] hipc,thanks [94] thanks,opana [93] yayrakoku,hip [20] ghana,balancing [20] balancing,economic Top Word Pairs in Tweet in G9:
[21] access,modern [20] oil,gas [17] gas,mining [16] worldbank,the_idb [15] submit,proposal [14] cooking,services [14] mining,submit [14] proposal,speak [13] modern,energy [13] energy,cooking Top Word Pairs in Tweet in G10:
[12] worldbank,swedeninug [9] partnership,agreement [9] worldbank,dfcugroup [8] signed,partnership [8] ugx,12 [8] 12,billion [7] uganda4dev,#promotegreengrowthug [7] today,worldbank [7] worldbank,signed [7] agreement,swedeninug 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 G10: