The graph represents a network of 3,843 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, 05 December 2022 at 18:34 UTC.
The requested start date was Monday, 05 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 13-day, 23-hour, 45-minute period from Monday, 21 November 2022 at 01:13 UTC to Monday, 05 December 2022 at 00:58 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 : 3843
Unique Edges : 4035
Edges With Duplicates : 12179
Total Edges : 16214
Number of Edge Types : 5
Tweet : 524
Retweet : 4207
MentionsInRetweet : 8014
Mentions : 3221
Replies to : 248
Self-Loops : 545
Reciprocated Vertex Pair Ratio : 0.0122382376937721
Reciprocated Edge Ratio : 0.0241805480924234
Connected Components : 183
Single-Vertex Connected Components : 105
Maximum Vertices in a Connected Component : 3493
Maximum Edges in a Connected Component : 15800
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.064338
Graph Density : 0.00050417188007753
Modularity : 0.352704
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 3,843 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, 05 December 2022 at 18:34 UTC.
The requested start date was Monday, 05 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 13-day, 23-hour, 45-minute period from Monday, 21 November 2022 at 01:13 UTC to Monday, 05 December 2022 at 00:58 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:
[507] climate,change [325] worldbank,group [293] climate,action [278] global,food [191] income,countries [174] energy,prices [172] worldbank,latest [170] food,energy [166] global,crises [166] ghg,emissions Top Word Pairs in Tweet in G1:
[169] climate,change [152] worldbank,group [138] food,energy [138] young,people [138] energy,prices [136] high,food [136] record,high [136] action,young [136] global,crises [136] prices,triggered Top Word Pairs in Tweet in G2:
[108] wbg_climate,worldbank [87] wbg_education,worldbanksasia [87] worldbank,wbg_education [87] adb_hq,wbg_climate [80] worldbanksasia,ifc_org [80] ifc_org,wbg_digitaldev [62] climate,change [61] cc,imfnews [52] climate,action [51] worldbank,group Top Word Pairs in Tweet in G3:
[152] climate,action [119] secyellen,drtedros [119] jokowi,secyellen [117] davidmalpasswbg,jokowi [117] launched,g20org [115] worldbank,pandemic_fund [113] pandemic_fund,launched [113] g20org,sunday [113] sunday,davidmalpasswbg [111] drtedros,leade Top Word Pairs in Tweet in G4:
[51] worldbank,imfnews [36] imfnews,worldbank [29] un4youth,un_women [26] annual,meetings [25] year,worldbank [25] focusing,investing [25] discussions,focusing [25] investing,education [25] imfnews,annual [25] meetings,featured Top Word Pairs in Tweet in G5:
[16] youth,summit [16] delegate,worldbank [15] worldbank,group [15] climate,change [15] represented,cycnofficial [15] group,youth [14] azeezt_abubakar,represented [14] youth,climate [13] '22,delegate [13] cycnofficial,well Top Word Pairs in Tweet in G6:
[154] average,life [154] life,expectancy [154] expectancy,55 [154] 55,years [145] years,global [143] presidential,candidate [143] peterobi,claimed [143] candidate,peterobi [143] claimed,nigeria [143] nglabour,presidential Top Word Pairs in Tweet in G7:
[39] climate,change [23] world,bank [21] #utilities,worldwide [21] water,scarcity [20] gdp,according [20] scarcity,decrease [20] report,world [20] according,report [20] bank,worldbank [20] decrease,gdp Top Word Pairs in Tweet in G8:
[161] child,estimated [161] malnourished,child [161] 12,times [161] die,well [161] times,more [161] conflict,malnourished [161] tigray,following [161] estimated,12 [161] more,die [161] following,conflict Top Word Pairs in Tweet in G9:
[26] income,countries [25] climate,change [19] learn,more [18] global,poverty [17] co2,emissions [17] bulk,global [17] vast,bulk [17] middle,income [17] cities,high [17] responsible,vast Top Word Pairs in Tweet in G10:
[18] climate,change [13] #worldbank,#xijinping [13] #antónioguterres,#cop27 [13] #potus,#amlo [13] #cop27,#vatican [13] #unitednations,#potus [13] #xijinping,#macron [13] #amlo,#worldbank [13] #vatican,#g20 [13] #g20,#unitednations 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:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G10: