The graph represents a network of 4,461 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, 21 September 2020 at 14:16 UTC.
The requested start date was Monday, 21 September 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 13-day, 21-hour, 21-minute period from Monday, 07 September 2020 at 00:56 UTC to Sunday, 20 September 2020 at 22:17 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 : 4461
Unique Edges : 2967
Edges With Duplicates : 9679
Total Edges : 12646
Number of Edge Types : 5
Retweet : 3986
MentionsInRetweet : 5483
Replies to : 194
Tweet : 446
Mentions : 2537
Self-Loops : 462
Reciprocated Vertex Pair Ratio : 0.0164784864205066
Reciprocated Edge Ratio : 0.032422695887121
Connected Components : 187
Single-Vertex Connected Components : 103
Maximum Vertices in a Connected Component : 3891
Maximum Edges in a Connected Component : 11841
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.779402
Graph Density : 0.000334840164334044
Modularity : 0.417274
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 4,461 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, 21 September 2020 at 14:16 UTC.
The requested start date was Monday, 21 September 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 13-day, 21-hour, 21-minute period from Monday, 07 September 2020 at 00:56 UTC to Sunday, 20 September 2020 at 22:17 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:
[535] world,bank [310] child,mortality [310] mortality,data [310] data,remains [310] remains,one [310] one,largest [310] largest,global [310] global,problems [310] problems,world [310] world,continued Top Word Pairs in Tweet in G1:
[202] 20,global [202] global,population [202] 70,countries [202] excellent,conditions [202] conditions,solar [201] solar,energy [200] population,live [200] live,70 [200] countries,excellent [200] energy,high Top Word Pairs in Tweet in G2:
[170] world,bank [101] climate,finance [98] bank,group [80] sustainable,development [77] #climatechange,seriously [77] seriously,threatens [77] threatens,sustainable [77] development,poverty [77] poverty,reduction [77] reduction,#africa Top Word Pairs in Tweet in G3:
[103] development,podcast [80] world,bank [71] global,economy [60] chief,economist [59] economist,carmenmreinhart [57] worldbank,development [49] carmenmreinhart,discuss [44] bank,group [42] against,#corruption [42] global,experts Top Word Pairs in Tweet in G4:
[308] child,mortality [308] mortality,data [308] data,remains [308] remains,one [308] one,largest [308] largest,global [308] global,problems [308] problems,world [308] world,continued [308] continued,make Top Word Pairs in Tweet in G5:
[31] imf,imfnews [31] imfnews,funded [31] funded,quotas [31] quotas,biggest [31] biggest,contributors [31] contributors,#unitedstates [31] #unitedstates,#japan [31] #japan,#china [31] #china,#germany [29] louisnkizito,imf Top Word Pairs in Tweet in G6:
[201] number,global [201] global,under [201] deaths,dropped [201] dropped,lowest [201] lowest,point [201] point,record [201] record,2019 [199] under,deaths [199] 2019,down [199] down,million Top Word Pairs in Tweet in G7:
[220] focus,bbi [220] bbi,constt [220] constt,nal [220] nal,changes [220] changes,priority [220] priority,global [220] global,recession [220] recession,looms [220] looms,global [220] global,gdp Top Word Pairs in Tweet in G8:
[25] world,bank [14] chief,economist [13] five,years [10] global,economic [10] economic,recovery [9] take,five [9] bank,chief [8] covid,19 [8] recovery,take [7] years,world Top Word Pairs in Tweet in G9:
[75] global,response [75] response,sars [75] sars,cov [75] cov,projected [75] projected,push [75] push,71 [75] 71,100 [75] 100,million [75] million,people [75] people,extreme Top Word Pairs in Tweet in G10:
[28] ede_wbg,worldbank [28] worldbank,wbg_environment [28] wbg_environment,worldbankafrica [17] worldbankafrica,chikwe_i [16] jidesanwoolu,profakinabayomi [15] chikwe_i,whoafro [15] whoafro,whonigeria [15] whonigeria,bossmustaphasgf [15] bossmustaphasgf,profosinbajo [15] profosinbajo,jidesanwoolu 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 G5:
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: