The graph represents a network of 3,171 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, 18 May 2020 at 14:11 UTC.
The requested start date was Monday, 18 May 2020 at 00:01 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, 14-hour, 30-minute period from Monday, 04 May 2020 at 00:04 UTC to Sunday, 17 May 2020 at 14:35 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 : 3171
Unique Edges : 2596
Edges With Duplicates : 5861
Total Edges : 8457
Number of Edge Types : 5
Retweet : 2356
MentionsInRetweet : 3531
Mentions : 2085
Tweet : 344
Replies to : 141
Self-Loops : 360
Reciprocated Vertex Pair Ratio : 0.0140097643812354
Reciprocated Edge Ratio : 0.0276324052752774
Connected Components : 155
Single-Vertex Connected Components : 83
Maximum Vertices in a Connected Component : 2765
Maximum Edges in a Connected Component : 7832
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.358326
Graph Density : 0.000475225500817245
Modularity : 0.449343
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 3,171 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, 18 May 2020 at 14:11 UTC.
The requested start date was Monday, 18 May 2020 at 00:01 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, 14-hour, 30-minute period from Monday, 04 May 2020 at 00:04 UTC to Sunday, 17 May 2020 at 14:35 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:
[349] #covid19,pandemic [295] global,economy [281] covid,19 [261] brought,global [260] growth,#covid19 [260] pandemic,brought [260] economy,sudden [260] sudden,halt [260] halt,question [259] decade,growth Top Word Pairs in Tweet in G1:
[237] #covid19,pandemic [207] global,economy [196] brought,global [195] pandemic,brought [195] economy,sudden [195] sudden,halt [195] halt,question [194] decade,growth [194] growth,#covid19 [187] worldbank,decade Top Word Pairs in Tweet in G2:
[81] sustainable,recovery [70] recovery,#covid19 [52] support,sustainable [40] people,planet [38] national,development [38] development,strategies [38] adaptation,plans [38] plans,deserve [38] deserve,considerable [38] considerable,attention Top Word Pairs in Tweet in G3:
[20] global,currency [16] imfnews,worldbank [13] wto,imflive [13] imflive,worldbank [13] worldbank,imfnews [12] #covid,19 [11] important,news [11] news,today [11] today,gavi's [11] gavi's,ceo Top Word Pairs in Tweet in G4:
[79] gender,inequality [76] global,price [76] price,gender [76] inequality,link [76] link,gt [76] gt,gt [76] gt,worldbank [76] worldbank,antgrasso [76] antgrasso,#womenintech [72] antgrasso,global Top Word Pairs in Tweet in G5:
[119] creditors,demanding [119] demanding,trillion [119] trillion,debt [119] debt,servicing [119] servicing,payments [119] payments,governments [119] governments,global [119] global,south [119] south,normal [119] normal,times Top Word Pairs in Tweet in G6:
[32] #covid19,pandemic [32] covid,19 [28] discussion,global [28] global,efforts [28] efforts,tackle [28] tackle,impact [26] join,usip [26] impact,covid [25] 11,00 [24] global,economy Top Word Pairs in Tweet in G7:
[45] wbg_health,muhammadpate [44] global,directors [44] muhammadpate,wbg_agriculture [43] #nutrition,protect [43] protect,health [43] health,during [43] during,#covid19 [43] #covid19,global [43] directors,wbg_health [38] worldbank,#nutrition Top Word Pairs in Tweet in G8:
[6] climate,change [4] learn,more [4] private,sector [4] sector,action [4] action,help [4] help,conserve [4] conserve,#forests [4] #forests,tackle [4] tackle,climate [3] scienceadvances,worldbank Top Word Pairs in Tweet in G9:
[16] private,sector [11] learn,more [11] public,health [9] people,planet [9] support,countries [9] #happeningnow,webinar [9] webinar,virtual [9] virtual,knowledge [9] knowledge,exchange [9] exchange,hosted Top Word Pairs in Tweet in G10:
[74] global,poverty [72] covid,19 [65] 19,cause [65] cause,first [65] first,increase [65] increase,global [65] poverty,1998 [64] 1998,worldbankdata [56] meridithmcgraw,covid [9] poverty,2020 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
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:
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Top Tweeters in G9:
Top Tweeters in G10: