The graph represents a network of 4,403 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, 08 December 2022 at 13:27 UTC.
The requested start date was Thursday, 08 December 2022 at 01:01 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, 6-hour, 6-minute period from Monday, 05 December 2022 at 01:56 UTC to Wednesday, 07 December 2022 at 08:03 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 : 4403
Unique Edges : 5928
Edges With Duplicates : 24584
Total Edges : 30512
Number of Edge Types : 5
Tweet : 424
Retweet : 5512
MentionsInRetweet : 9968
Mentions : 14154
Replies to : 454
Self-Loops : 487
Reciprocated Vertex Pair Ratio : 0.00644955808583486
Reciprocated Edge Ratio : 0.0128164556962025
Connected Components : 248
Single-Vertex Connected Components : 141
Maximum Vertices in a Connected Component : 3678
Maximum Edges in a Connected Component : 29383
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.380617
Graph Density : 0.000652151278871754
Modularity : 0.311615
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,403 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, 08 December 2022 at 13:27 UTC.
The requested start date was Thursday, 08 December 2022 at 01:01 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, 6-hour, 6-minute period from Monday, 05 December 2022 at 01:56 UTC to Wednesday, 07 December 2022 at 08:03 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:
[1307] imfnews,worldbank [1259] eib,eibglobal [1256] worldbank,eib [1123] eibglobal,statedept [1120] hrw,unhumanrights [1120] unhumanrights,imfnews [1097] oromo,lives [1067] remain,cynical [1067] cynical,front [1059] ve,long Top Word Pairs in Tweet in G1:
[100] world,bank [67] gdp,growth [66] india's,gdp [52] revised,upwards [51] growth,estimates [51] estimates,revised [42] income,countries [42] 2022,23 [36] worldbank,group [32] india,unstoppable Top Word Pairs in Tweet in G2:
[1250] imfnews,worldbank [1225] worldbank,eib [1225] eib,eibglobal [1095] eibglobal,statedept [1091] hrw,unhumanrights [1091] unhumanrights,imfnews [1034] oromo,lives [924] lives,matter [756] reuters,hrw [755] ap,reuters Top Word Pairs in Tweet in G3:
[1062] cynical,front [1062] remain,cynical [1054] ve,long [1038] front,ve [1034] long,time [987] time,waiting [822] worldbank,imfnews [746] dear,worldbank [742] drmikeryan,remain [742] imfnews,drmikeryan Top Word Pairs in Tweet in G4:
[9] क,न [9] gdp,growth [8] dynamic,leadership [8] narendramodi,ji [8] भ,रत [8] india's,#gdp [8] under,dynamic [8] robust,economic [7] #gdp,forecast [7] 2022,23 Top Word Pairs in Tweet in G5:
[34] world,bank [22] भ,रत [16] #worldbank,#gdp [15] ब,क [15] रत,क [11] व,श [11] श,व [11] क,अन [11] 2022,23 [10] क,#gdp Top Word Pairs in Tweet in G6:
[58] worldbank,partnered [57] million,people [51] partnered,government [47] digital,skills [47] small,business [47] people,digital [47] skills,enabling [47] business,people [47] enabling,over [47] equip,small Top Word Pairs in Tweet in G7:
[5] nbcsnl,elonmusk [5] imfspokesperson,nasajpl [5] ap,nbcsnl [5] gretathunberg,aidanrgallagher [5] un4youth,un_women [5] imfnews,worldbank [5] aidanrgallagher,adriangrenier [5] adriangrenier,ipcc_ch [5] ipcc_ch,imfnews [5] un_women,gretathunberg Top Word Pairs in Tweet in G8:
[59] world,bank [54] read,ani [51] ani_digital,world [29] billion,2022 [29] indian,migrant [29] record,usd100 [29] singapore,countries [29] 2022,read [29] workers,singapore [29] home,record Top Word Pairs in Tweet in G9:
[19] #apchub,#eval4action [16] evalyouthsl,evalyouth_india [16] bhutanevalyouth,evalyouthpac [16] evalyouthpk,bhutanevalyouth [15] evalyouth_india,evalyouthpk [15] eval_youth,evalyouthsl [14] #eval4action,#evalvisionasia2022 [13] #evalvisionasia2022,evalyouthasia [11] evalyouthasia,eval_youth [8] worldbank_ieg,adbevaluation Top Word Pairs in Tweet in G10:
[70] path,recovery [70] failures,acts [70] acts,god [70] god,moving [70] recovery,government [70] thank,god [70] government,attributes [70] moving,towards [70] towards,path [70] attributes,failures 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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Top Tweeters in G10: