The graph represents a network of 4,444 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, 01 November 2021 at 16:52 UTC.
The requested start date was Monday, 01 November 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, 22-hour, 50-minute period from Monday, 18 October 2021 at 00:08 UTC to Sunday, 31 October 2021 at 22:59 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 : 4444
Unique Edges : 4639
Edges With Duplicates : 11855
Total Edges : 16494
Number of Edge Types : 5
Retweet : 4580
MentionsInRetweet : 7808
Mentions : 3318
Tweet : 520
Replies to : 268
Self-Loops : 574
Reciprocated Vertex Pair Ratio : 0.0206136145733461
Reciprocated Edge Ratio : 0.0403945514325975
Connected Components : 156
Single-Vertex Connected Components : 85
Maximum Vertices in a Connected Component : 4079
Maximum Edges in a Connected Component : 16046
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.075104
Graph Density : 0.000431305790943713
Modularity : 0.364829
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,444 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, 01 November 2021 at 16:52 UTC.
The requested start date was Monday, 01 November 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, 22-hour, 50-minute period from Monday, 18 October 2021 at 00:08 UTC to Sunday, 31 October 2021 at 22:59 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:
[886] climate,change [358] world,bank [210] worldbank,group [189] according,worldbank [165] climate,friendly [160] worldbank,pakistan [160] pakistan,climate [160] friendly,development [160] development,highest [160] highest,world Top Word Pairs in Tweet in G1:
[203] climate,change [179] according,worldbank [167] world,bank [160] worldbank,pakistan [160] pakistan,climate [160] climate,friendly [160] friendly,development [160] development,highest [160] highest,world [158] prime,minister Top Word Pairs in Tweet in G2:
[437] climate,change [135] worldbank,group [100] learn,more [95] away,coal [88] #justtransition,away [83] within,countries [82] 216,million [79] #voicesforclimate,event [78] tackling,climate [73] annual,meetings Top Word Pairs in Tweet in G3:
[29] imfnews,worldbank [25] annual,meetings [23] climate,action [22] climate,crisis [21] development,banks [19] imfnews,g20org [19] g20org,worldbank [19] excited,share [19] share,guardian [19] guardian,ed Top Word Pairs in Tweet in G4:
[17] climate,change [13] usaid,gavi [13] gavi,unicef [13] unicef,thank [13] thank,usaid [13] usaid,global [13] global,agencies [13] agencies,international [13] international,community [13] community,hold Top Word Pairs in Tweet in G5:
[75] #cop26,world [75] world,making [75] making,ambitious [75] ambitious,2030 [75] 2030,emission [75] emission,reduction [75] reduction,targets [75] targets,reach [75] reach,#netzero [75] #netzero,mid Top Word Pairs in Tweet in G6:
[24] worldbankwater,water [18] water,scarcity [17] economic,growth [16] scarcity,exacerbated [16] exacerbated,#climatechange [16] #climatechange,hinder [16] hinder,economic [16] growth,spark [16] spark,conflict [16] conflict,countries Top Word Pairs in Tweet in G7:
[39] extreme,poverty [37] globally,years [37] years,progress [37] progress,reducing [37] reducing,extreme [37] poverty,lost [37] lost,due [37] due,#covid19 [37] #covid19,low [37] low,income Top Word Pairs in Tweet in G8:
[30] world,bank [8] climate,change [6] bank,group [5] #worldbank,#imf [5] #xrp,#global [5] #global,takeover [4] climate,crisis [4] african,countries [4] internal,climate [3] #imf,#worldbank Top Word Pairs in Tweet in G9:
[13] climate,change [8] fighting,climate [8] change,preventing [8] preventing,next [8] next,pandemic [8] pandemic,require [8] require,collective [8] collective,action [8] action,worldbank [8] worldbank,help Top Word Pairs in Tweet in G10:
[20] climate,action [17] climate,crisis [16] co2,emissions [16] climate,change [13] date,000 [13] 000,cities [13] 20,urban [13] urban,residents [13] residents,climate [13] action,plans 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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