The graph represents a network of 2,965 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, 16 August 2021 at 16:49 UTC.
The requested start date was Monday, 16 August 2021 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, 23-hour, 36-minute period from Monday, 02 August 2021 at 00:03 UTC to Sunday, 15 August 2021 at 23:40 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 : 2965
Unique Edges : 2960
Edges With Duplicates : 6825
Total Edges : 9785
Number of Edge Types : 5
Retweet : 2592
MentionsInRetweet : 4761
Mentions : 2001
Replies to : 165
Tweet : 266
Self-Loops : 293
Reciprocated Vertex Pair Ratio : 0.0161169415292354
Reciprocated Edge Ratio : 0.0317226115824419
Connected Components : 116
Single-Vertex Connected Components : 50
Maximum Vertices in a Connected Component : 2675
Maximum Edges in a Connected Component : 9405
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.149263
Graph Density : 0.000616959443621377
Modularity : 0.42088
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 2,965 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, 16 August 2021 at 16:49 UTC.
The requested start date was Monday, 16 August 2021 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, 23-hour, 36-minute period from Monday, 02 August 2021 at 00:03 UTC to Sunday, 15 August 2021 at 23:40 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:
[379] task,force [325] latest,data [318] global,rollout [316] effective,global [316] rollout,vaccines [316] force,compiling [316] compiling,latest [311] #covid19,task [295] data,worldbank [292] vaccines,#covid19 Top Word Pairs in Tweet in G1:
[270] latest,data [265] task,force [264] effective,global [264] global,rollout [264] rollout,vaccines [264] force,compiling [264] compiling,latest [261] data,worldbank [260] #covid19,task [255] worldbank,effective Top Word Pairs in Tweet in G2:
[119] climate,change [88] action,plan [87] change,action [58] worldbank,group [53] learn,more [43] world,bank [39] support,countries [38] under,climate [38] plan,worldbank [38] group,significantly Top Word Pairs in Tweet in G3:
[189] worldbank,wto [129] global,database [125] joined,forces [125] database,country [125] country,dashboards [116] forces,website [116] website,global [98] dashboards,vaccines [96] wto,imfnews [95] imfnews,joined Top Word Pairs in Tweet in G4:
[30] global,#education [28] policy,dashboard [24] unicef,unhcr [24] unhcr,unesco [24] unesco,emmawatson [24] emmawatson,themahirakhan [24] themahirakhan,victoriabeckham [24] victoriabeckham,selenagomez [22] dashboard,gepd [22] offers,policymakers Top Word Pairs in Tweet in G5:
[30] billion,people [30] people,live [30] live,regions [30] regions,experience [30] experience,severe [30] severe,water [30] water,stress [30] stress,point [30] point,year [30] year,need Top Word Pairs in Tweet in G6:
[8] effective,global [8] global,rollout [8] rollout,vaccines [8] vaccines,#covid19 [8] #covid19,task [8] task,force [8] force,compiling [8] compiling,latest [8] latest,data [7] wb_research,effective Top Word Pairs in Tweet in G7:
[26] climate,change [17] middle,crises [17] crises,usually [17] usually,people [17] people,things [17] things,worse [17] worse,unfortunately [13] unfortunately,worse [11] worse,eu [11] eu,envoy Top Word Pairs in Tweet in G8:
[46] srilanka2030,adamrogers2030 [46] adamrogers2030,sfdecordova [46] sfdecordova,sasankadias [46] sasankadias,salonetitihawa [46] salonetitihawa,the_worldwewant [46] the_worldwewant,niresheliatamby [46] niresheliatamby,pvblicf [32] chavivohra,srilanka2030 [30] sdg2030,chavivohra [16] between,18 Top Word Pairs in Tweet in G9:
[12] effective,crash [12] crash,response [7] climate,change [7] response,make [7] make,difference [7] difference,between [7] between,survival [7] survival,death [7] death,preventing [7] preventing,injuries Top Word Pairs in Tweet in G10:
[17] biden,administration [17] administration,responsible [17] global,warming [17] warming,decreasing [17] decreasing,crop [17] crop,productivity [17] productivity,rising [17] rising,sea [17] sea,levels [17] levels,water 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: