The graph represents a network of 2,957 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, 26 December 2022 at 18:34 UTC.
The requested start date was Monday, 26 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 10-day, 5-hour, 59-minute period from Thursday, 15 December 2022 at 18:20 UTC to Monday, 26 December 2022 at 00:20 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 : 2957
Unique Edges : 2442
Edges With Duplicates : 20516
Total Edges : 22958
Number of Edge Types : 5
Retweet : 6624
MentionsInRetweet : 11792
Replies to : 185
Mentions : 3993
Tweet : 364
Self-Loops : 447
Reciprocated Vertex Pair Ratio : 0.0173322403091697
Reciprocated Edge Ratio : 0.0340739035340163
Connected Components : 124
Single-Vertex Connected Components : 75
Maximum Vertices in a Connected Component : 2576
Maximum Edges in a Connected Component : 22403
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.062777
Graph Density : 0.000993834496525069
Modularity : 0.301367
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2,957 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, 26 December 2022 at 18:34 UTC.
The requested start date was Monday, 26 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 10-day, 5-hour, 59-minute period from Thursday, 15 December 2022 at 18:20 UTC to Monday, 26 December 2022 at 00:20 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:
[2881] private,sector [2877] environment,private [2877] led,growth [2877] sector,led [2034] enabling,environment [2033] thank,dear [2033] dear,davidmalpasswbg [2033] president,malpass [2033] growth,thank [2033] malpass,enabling Top Word Pairs in Tweet in G1:
[300] climate,change [201] worldbank,group [157] global,food [124] climate,action [114] trade,policies [107] poverty,reduction [106] climate,development [102] million,people [96] address,climate [96] worldbank,latest Top Word Pairs in Tweet in G2:
[2868] led,growth [2868] sector,led [2868] environment,private [2868] private,sector [2030] growth,thank [2030] thank,dear [2030] malpass,enabling [2030] president,malpass [2030] enabling,environment [2030] dear,davidmalpasswbg Top Word Pairs in Tweet in G3:
[154] cop26,andersen_inger [153] andersen_inger,brian_j_keane [153] emma999too,un_sdg [153] un_sdg,azziadnasenya [127] brian_j_keane,madube_ [123] cop27p,wael_aboulmagd [82] azziadnasenya,sdg13un [82] sdg13un,cop26 [73] wael_aboulmagd,emma999too [71] azziadnasenya,cop26 Top Word Pairs in Tweet in G4:
[26] disproportionately,90 [26] #airpollution,related [26] affects,poor [26] pollution,affects [26] poor,disproportionately [26] low,middle [26] occurring,low [26] deaths,occurring [26] related,deaths [26] 90,#airpollution Top Word Pairs in Tweet in G5:
[5] economy,#economicslowdown [5] slowdown,world [5] global,economy [5] alarm,global [5] world,bank [5] sounds,alarm [5] #economicslowdown,#worldbank [5] economic,slowdown [5] bank,sounds [5] #worldbank,#economy Top Word Pairs in Tweet in G6:
[8] worldbank,world [7] imfnews,worldbank [6] india,potus [6] global,body [6] look,indian [6] police,hunting [6] blacklist,india [6] loan,autocratic [6] indian,police [6] body,grant Top Word Pairs in Tweet in G7:
[14] #g20,#unitednations [13] #unitednations,#potus [12] #antónioguterres,#cop27 [12] #cop27,#vatican [12] #vatican,#g20 [11] #macron,#nato [11] #nato,#justintrudeau [11] #potus,#amlo [11] #xijinping,#macron [11] #amlo,#worldbank Top Word Pairs in Tweet in G8:
[6] worldbank,eastern [6] between,unicef [6] victoriakwakwa,collaboration [6] yesterday,victoriakwakwa [6] eastern,southern [6] collaboration,between [6] meeting,yesterday [6] unicef,worldbank [6] constructive,meeting [5] livestock,#climate Top Word Pairs in Tweet in G9:
[10] covid,19 [8] sharply,increased [8] efforts,invest [8] closures,disruptions [8] feels,reach [8] climate,change [8] children,read [8] invest,develop [8] school,closures [8] develop,#blueeconomy Top Word Pairs in Tweet in G10:
[2] gazza56721349,markp1950 [2] dynamiteold,iandjbrown2 [2] markp1950,dynamiteold [2] brknman,mattsissons25 [2] mattsissons25,martinbrampton [2] johnson_wrjohn1,brknman [2] cjtjgeol,johnson_wrjohn1 [2] iandjbrown2,cjtjgeol 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 G9:
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: