The graph represents a network of 3,900 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, 22 December 2022 at 13:27 UTC.
The requested start date was Thursday, 22 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, 35-minute period from Monday, 19 December 2022 at 01:28 UTC to Wednesday, 21 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 : 3900
Unique Edges : 6263
Edges With Duplicates : 19954
Total Edges : 26217
Number of Edge Types : 5
MentionsInRetweet : 11737
Mentions : 7097
Retweet : 6049
Tweet : 313
Replies to : 1021
Self-Loops : 368
Reciprocated Vertex Pair Ratio : 0.00970799571930897
Reciprocated Edge Ratio : 0.0192293133469604
Connected Components : 194
Single-Vertex Connected Components : 101
Maximum Vertices in a Connected Component : 3467
Maximum Edges in a Connected Component : 25621
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.137088
Graph Density : 0.000868664549095429
Modularity : 0.359118
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 3,900 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, 22 December 2022 at 13:27 UTC.
The requested start date was Thursday, 22 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, 35-minute period from Monday, 19 December 2022 at 01:28 UTC to Wednesday, 21 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:
[1848] war,tigray [1837] sounds,positive [1837] caused,war [1837] coha,sounds [1837] news,work [1837] damages,caused [1837] undo,damages [1837] work,undo [1837] positive,news [1833] tigray,immense Top Word Pairs in Tweet in G1:
[670] adamugarba,worldbank [80] jacobceestine,adamugarba [74] world,bank [52] 30,billion [43] worldbank,group [40] 610,million [38] far,concerned [36] poverty,reduction [35] lagos,state [35] restore,access Top Word Pairs in Tweet in G2:
[1830] war,tigray [1819] caused,war [1819] damages,caused [1819] news,work [1819] positive,news [1819] work,undo [1819] sounds,positive [1819] undo,damages [1819] coha,sounds [1815] tigray,immense Top Word Pairs in Tweet in G3:
[55] m23,exploiting [55] exploiting,uganda [55] groups,m23 [55] terrorism,rebel [55] disappointing,funding [55] funding,terrorism [55] rebel,groups [54] wfp,worldbank [54] unocha,disappointing [53] tanzania,eacop Top Word Pairs in Tweet in G4:
[17] بینک,نے [17] نے,پاکستان [17] مدد,کیلئے [17] ورلڈ,بینک [17] کی,منظوری [17] ارب,ڈالر [17] پاکستان,کی [17] pmoindia,mansukhmandviya [17] کی,مالی [17] mansukhmandviya,drsjaishankar Top Word Pairs in Tweet in G5:
[28] sdg13un,pigreen1 [28] wael_aboulmagd,emma999too [28] emma999too,un_sdg [28] cop27p,wael_aboulmagd [28] brian_j_keane,madube_ [28] pigreen1,cop27p [28] andersen_inger,brian_j_keane [28] un_sdg,azziadnasenya [28] azziadnasenya,cop26 [28] cop26,andersen_inger Top Word Pairs in Tweet in G6:
[28] world,bank [8] bank,approves [7] projects,support [6] support,people [6] 692,billion [6] affected,areas [6] flood,affected [5] approves,692 [5] predicted,june [5] bank,approved Top Word Pairs in Tweet in G7:
[14] extreme,poverty [10] eastern,southern [9] gdp,eastern [9] #africa,right [9] accounted,15 [9] right,support [9] 15,gdp [9] sector,accounted [9] southern,#africa [9] #food,sector Top Word Pairs in Tweet in G8:
[4] fao,harvard [4] theworldslesson,fao [4] glblctzn,digitaldubai [4] globalgoalsun,unesco [4] kennedy_school,theglobalgoals [4] theglobalgoals,theworldslesson [4] harvard,glblctzn [4] unesco,oecd [4] oecd,kennedy_school [3] digitaldubai,teach Top Word Pairs in Tweet in G9:
[28] world,bank [18] bank,supported [13] #airpollution,placing [13] #india,tackling [13] supporting,#india [13] efforts,indo [13] #worldbank,supporting [13] indo,gangetic [13] tackling,#airpollution [13] placing,greatest Top Word Pairs in Tweet in G10:
[20] davidmalpasswbg,worldbank [10] worldbank,the_idb [10] kgeorgieva,davidmalpasswbg [10] the_idb,shemtovdc [8] irene,mejía [8] mejía,chacón [8] honored,celebrate [8] worldbank,reina [8] celebrate,#chanukah [8] #chanukah,fund Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: