The graph represents a network of 2,249 Twitter users whose tweets in the requested range contained "Worldbank (environment OR climate OR warming OR ecological OR planet OR global)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 07 March 2022 at 17:49 UTC.
The requested start date was Monday, 07 March 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 11-day, 11-hour, 53-minute period from Monday, 21 February 2022 at 01:07 UTC to Friday, 04 March 2022 at 13:01 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 : 2249
Unique Edges : 2287
Edges With Duplicates : 5242
Total Edges : 7529
Number of Edge Types : 5
Retweet : 1637
MentionsInRetweet : 2902
Mentions : 2342
Tweet : 311
Replies to : 337
Self-Loops : 379
Reciprocated Vertex Pair Ratio : 0.0161125319693095
Reciprocated Edge Ratio : 0.0317140699723131
Connected Components : 128
Single-Vertex Connected Components : 45
Maximum Vertices in a Connected Component : 1900
Maximum Edges in a Connected Component : 7067
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.516781
Graph Density : 0.000785837596464384
Modularity : 0.409376
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,249 Twitter users whose tweets in the requested range contained "Worldbank (environment OR climate OR warming OR ecological OR planet OR global)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 07 March 2022 at 17:49 UTC.
The requested start date was Monday, 07 March 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 11-day, 11-hour, 53-minute period from Monday, 21 February 2022 at 01:07 UTC to Friday, 04 March 2022 at 13:01 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 (environment OR climate OR warming OR ecological OR planet OR global)
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:
[362] many,ugandans [348] ugandans,die [348] die,before [348] before,global [347] global,actors [347] actors,challenge [347] challenge,museveni [342] museveni,rest [313] rest,world [303] world,watch Top Word Pairs in Tweet in G1:
[52] developing,economies [35] latest,#wbgep2022 [34] durable,recovery [33] obstacles,durable [32] #wbgep2022,provides [32] provides,fresh [32] fresh,insights [32] insights,three [32] three,emerging [32] emerging,obstacles Top Word Pairs in Tweet in G2:
[110] climate,change [65] mari_pangestu,worldbank [64] good,meet [64] meet,mari_pangestu [64] worldbank,managing [64] managing,director [64] director,development [64] development,policy [64] policy,partnerships [64] partnerships,discussed Top Word Pairs in Tweet in G3:
[4] unodc_wlfc,wildlifeday [4] human,civilization [4] point,#putinisawarcriminal [4] #putinisawarcriminal,threatening [4] threatening,global [4] global,peace [4] peace,planet [4] planet,earth [4] earth,#putin [4] #putin,deserve Top Word Pairs in Tweet in G4:
[356] many,ugandans [342] ugandans,die [342] die,before [342] before,global [341] global,actors [341] actors,challenge [341] challenge,museveni [336] museveni,rest [307] rest,world [297] world,watch Top Word Pairs in Tweet in G5:
[30] worldbankwater,over [23] sahel's,temperatures [23] temperatures,increasing [23] increasing,5x [23] 5x,faster [23] faster,global [23] global,average [23] average,worldbank [23] worldbank,scaling [23] scaling,support Top Word Pairs in Tweet in G6:
[5] africans,needs [5] needs,integrated [5] integrated,food [5] food,production [5] production,system [5] system,feed [5] feed,everyone [5] everyone,everywhere [5] everywhere,day [5] day,nutritious Top Word Pairs in Tweet in G7:
[32] call,proposals [32] proposals,abcde [32] abcde,conference [32] conference,year [32] year,focus [32] focus,firms [31] piza_caio,call [31] firms,danielascu [17] interested,macroeconomic [17] macroeconomic,consequences Top Word Pairs in Tweet in G8:
[2] inclusion,commitments [2] time,world [2] world,bank [2] bank,truly [2] truly,invest [2] invest,lgbtqi [2] lgbtqi,communities [2] communities,#zerodiscrimination [2] #zerodiscrimination,cso [2] cso,policy Top Word Pairs in Tweet in G9:
[10] world,bank [5] climate,change [4] retorno,inflación [4] inflación,global [3] read,more [3] global,#inflación [2] internal,climate [2] climate,migration [2] global,warming [2] 37,poor Top Word Pairs in Tweet in G10:
[7] unicef,worldbank [4] academics,prep [4] prep,hours [4] hours,lecture [4] lecture,global [4] global,perspectives [4] perspectives,#inclusion [4] #inclusion,#childrensrights [4] #childrensrights,#sdg4 [4] #sdg4,downloaded 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 G6:
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: