The graph represents a network of 4,552 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 December 2019 at 17:47 UTC.
The requested start date was Monday, 16 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 13-hour, 42-minute period from Monday, 02 December 2019 at 11:09 UTC to Monday, 16 December 2019 at 00:51 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 : 4552
Unique Edges : 6941
Edges With Duplicates : 2778
Total Edges : 9719
Number of Edge Types : 3
Mentions : 9072
Tweet : 457
Replies to : 190
Self-Loops : 457
Reciprocated Vertex Pair Ratio : 0.0189383835689517
Reciprocated Edge Ratio : 0.0371727748691099
Connected Components : 164
Single-Vertex Connected Components : 108
Maximum Vertices in a Connected Component : 4229
Maximum Edges in a Connected Component : 9377
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.313672
Graph Density : 0.000368794359106846
Modularity : 0.584644
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 4,552 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 December 2019 at 17:47 UTC.
The requested start date was Monday, 16 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 13-hour, 42-minute period from Monday, 02 December 2019 at 11:09 UTC to Monday, 16 December 2019 at 00:51 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:
[339] world,bank [307] climate,change [287] þ,þ [188] global,economy [186] world,pop [183] water,scarcity [177] nearly,half [177] half,world [176] scarcity,2050 [176] 2050,nearly Top Word Pairs in Tweet in G1:
[140] climate,change [104] water,scarcity [98] economic,growth [88] worldbank,report [81] according,worldbank [78] global,value [78] value,chains [76] hinder,economic [76] spark,conflict [76] conflict,according Top Word Pairs in Tweet in G2:
[287] þ,þ [151] world,population [138] world,bank [119] bank,group [84] nearly,half [84] half,world [84] scarcity,2050 [84] 2050,nearly [84] nearly,20 [84] 20,world Top Word Pairs in Tweet in G3:
[47] supporting,countries [33] chile,morocco [33] morocco,mali [33] mali,see [33] see,worldbank [33] worldbank,supporting [33] countries,work [33] work,cut [33] cut,emissions [33] emissions,adapt Top Word Pairs in Tweet in G4:
[107] shell,game [77] ending,shell [69] event,ending [59] game,global [57] global,norm [56] worldbanklive,event [48] anticorruption,day [40] join,anticorruption [30] end,shell [30] game,70 Top Word Pairs in Tweet in G5:
[18] #cleancooking,#climate [18] #climate,health [18] health,development [18] development,#cop25 [16] pm,cet [16] cet,#cookingforclimate [16] #cookingforclimate,conversation [16] conversation,facebook [16] facebook,live [15] live,cop25 Top Word Pairs in Tweet in G6:
[106] world,pop [57] water,scarcity [55] nearly,half [55] half,world [55] scarcity,2050 [55] 2050,nearly [55] nearly,20 [55] 20,world [53] pop,lives [53] lives,water Top Word Pairs in Tweet in G7:
[136] global,economy [136] economy,become [136] become,much [136] much,more [136] more,energy [136] energy,efficient [136] efficient,further [136] further,gains [136] gains,come [89] link,gt Top Word Pairs in Tweet in G8:
[59] #southasia,generates [59] generates,staggering [59] staggering,amount [59] amount,plastic [59] plastic,waste [59] waste,ends [59] ends,ocean [59] ocean,region [58] hartwigschafer,#southasia [25] region,iâ Top Word Pairs in Tweet in G9:
[71] #worldbank,best [71] best,divest [71] divest,divest [71] divest,#divest [71] #divest,excuse [71] excuse,yes [71] yes,fund [71] fund,renewables [71] renewables,vain [70] xrebeldc,#worldbank Top Word Pairs in Tweet in G10:
[20] world,bank [7] 82,billion [6] climate,change [6] global,community [6] community,renews [6] renews,commitment [6] poorest,countries [6] countries,82 [5] supporting,countries [5] learn,more Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: