The graph represents a network of 4,585 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, 15 December 2022 at 13:27 UTC.
The requested start date was Thursday, 15 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, 4-hour, 55-minute period from Monday, 12 December 2022 at 19:52 UTC to Thursday, 15 December 2022 at 00:48 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 : 4585
Unique Edges : 6000
Edges With Duplicates : 25613
Total Edges : 31613
Number of Edge Types : 5
Retweet : 5561
MentionsInRetweet : 10998
Mentions : 14089
Tweet : 386
Replies to : 579
Self-Loops : 459
Reciprocated Vertex Pair Ratio : 0.00752801120448179
Reciprocated Edge Ratio : 0.0149435273675065
Connected Components : 193
Single-Vertex Connected Components : 75
Maximum Vertices in a Connected Component : 4027
Maximum Edges in a Connected Component : 30793
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.162528
Graph Density : 0.000547635224506653
Modularity : 0.278684
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,585 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, 15 December 2022 at 13:27 UTC.
The requested start date was Thursday, 15 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, 4-hour, 55-minute period from Monday, 12 December 2022 at 19:52 UTC to Thursday, 15 December 2022 at 00:48 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:
[1379] worldbank,imfnews [1216] abiy's,regime [1210] oromo,lives [1112] december,2022 [1107] wallaga,december [1107] murdered,abiy's [1106] east,wallaga [1105] 2022,oromo [993] lives,matter [876] vp,potus Top Word Pairs in Tweet in G1:
[129] world,bank [98] help,ukraine [97] sek,600 [97] ukraine,rebuild [97] support,ukraine [97] 600,million [97] increasing,support [97] million,worldbank [97] ukraine,sek [97] rebuild,sweden Top Word Pairs in Tweet in G2:
[660] #genocidepreventionday,worldbank [655] worldbank,imfnews [418] impose,economic [317] killings,sexual [309] human,rights [308] include,targeted [308] classified,human [308] civilian,killings [308] rights,abuses [308] targeted,civilian Top Word Pairs in Tweet in G3:
[56] google,traffic [55] download,google [55] #rstats,package [55] traffic,data [55] promising,#rstats [55] package,download [55] googletraffic,promising [55] data,developed [54] developed,roba [54] urbandemog,googletraffic Top Word Pairs in Tweet in G4:
[1197] abiy's,regime [1192] oromo,lives [1089] december,2022 [1089] wallaga,december [1089] murdered,abiy's [1088] east,wallaga [1087] 2022,oromo [979] lives,matter [872] vp,potus [848] potus,reuters Top Word Pairs in Tweet in G5:
[12] africa,leaders [12] leaders,forum [12] forum,african [12] ministerial,consultation [12] african,ambassadors [12] ambassadors,experts [12] experts,ministerial [11] consultation,meetings [9] govuganda,nrmonline [9] bahatiremmy,kagutamuseveni Top Word Pairs in Tweet in G6:
[14] arabnews,#spotlight [13] rcu_sa,#worldbank [9] developing,tourism [9] #alula,economy [9] #worldbank,transform [9] focused,smes [9] tourism,focused [9] #saudiarabia,rcu_sa [9] transform,#alula [9] #spotlight,#saudiarabia Top Word Pairs in Tweet in G7:
[6] worldbank,imfnews [4] ව,ද [4] ද,ය [4] wef,worldbank [3] halljoy410,politicoeurope [3] worldbank,wef [3] imfnews,worldbank [3] politicoeurope,wef [3] wef,imfnews [2] ය,ඉන Top Word Pairs in Tweet in G8:
[15] aidanrgallagher,adriangrenier [15] nbcsnl,elonmusk [15] imfnews,worldbank [15] gretathunberg,aidanrgallagher [15] elonmusk,un4youth [15] un_women,gretathunberg [15] adriangrenier,ipcc_ch [15] un4youth,un_women [15] ipcc_ch,imfnews [15] ap,nbcsnl Top Word Pairs in Tweet in G9:
[16] mof_ethiopia,moa_ethiopia [15] worldbank,mof_ethiopia [15] moa_ethiopia,euinethiopia [15] rolandkobia,worldbank [11] citizens,gave [11] mln,support [11] etb,35 [11] european,citizens [11] 35,mln [11] billion,etb Top Word Pairs in Tweet in G10:
[9] world,bank [4] climate,change [4] #worldbank,#imf [3] #statistics,#wdi [3] #data,#visualization [3] #worldbank,#statistics [2] year,#worldbank [2] #forums,#bestofbrands [2] #internationalmonetaryfund,#awards [2] #worldbank,#worldbankghana Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: