The graph represents a network of 5,123 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 October 2020 at 14:40 UTC.
The requested start date was Monday, 26 October 2020 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, 23-hour, 34-minute period from Monday, 12 October 2020 at 00:25 UTC to Monday, 26 October 2020 at 00:00 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 : 5123
Unique Edges : 5266
Edges With Duplicates : 11640
Total Edges : 16906
Number of Edge Types : 5
Retweet : 4717
MentionsInRetweet : 8020
Tweet : 556
Mentions : 3387
Replies to : 226
Self-Loops : 605
Reciprocated Vertex Pair Ratio : 0.0223166843783209
Reciprocated Edge Ratio : 0.0436590436590437
Connected Components : 219
Single-Vertex Connected Components : 121
Maximum Vertices in a Connected Component : 4534
Maximum Edges in a Connected Component : 16057
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.298689
Graph Density : 0.000366615769828711
Modularity : 0.430184
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 5,123 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 October 2020 at 14:40 UTC.
The requested start date was Monday, 26 October 2020 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, 23-hour, 34-minute period from Monday, 12 October 2020 at 00:25 UTC to Monday, 26 October 2020 at 00:00 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:
[492] extreme,poverty [355] covid,19 [338] climate,change [336] first,time [281] global,extreme [266] poverty,expected [266] expected,rise [259] between,88 [256] global,population [250] world,bank Top Word Pairs in Tweet in G1:
[215] extreme,poverty [195] first,time [176] global,extreme [176] expected,rise [175] poverty,expected [175] worldbank,global [173] 1998,worldbank [172] rise,first [172] worldbank,predicts [172] predicts,between Top Word Pairs in Tweet in G2:
[146] sustainable,recovery [140] covid,19 [119] extreme,poverty [119] climate,change [99] #climatechange,#biodiversity [94] recovery,#covid19 [93] #biodiversity,loss [88] countries,recover [86] challenges,#climatechange [86] economic,growth Top Word Pairs in Tweet in G3:
[96] imfnews,worldbank [48] worldbank,imfnews [48] jayati,ghosh [45] debt,justice [45] justice,working [45] working,group [45] group,member [45] member,jayati [45] ghosh,puts [45] puts,imfnews Top Word Pairs in Tweet in G4:
[98] 000,000 [71] world,bank [68] over,12 [62] fossil,fuels [61] climate,change [60] invested,over [49] research,urgewald [49] urgewald,reveals [49] reveals,#worldbank [49] #worldbank,group Top Word Pairs in Tweet in G5:
[23] unicef,worldbank [12] progress,fight [12] fight,against [11] against,child [10] extreme,poverty [10] learn,more [9] imfnews,worldbank [9] #paulbiya,#camerouns [9] #camerouns,dictator [9] dictator,daughter Top Word Pairs in Tweet in G6:
[47] global,education [40] education,evidence [40] evidence,advisory [40] advisory,panel [38] cost,effective [31] worldbank,annual [31] annual,meetings [30] 2020,worldbank [30] tackling,#climatechange [30] #climatechange,investing Top Word Pairs in Tweet in G7:
[41] global,poverty [30] #endpoverty,day [29] extreme,poverty [28] climate,change [28] fighting,global [27] global,extreme [27] first,time [27] urgency,fighting [26] covid,19 [26] poverty,expected Top Word Pairs in Tweet in G8:
[51] less,severe [46] global,economy's [46] economy's,recovery [46] recovery,hinges [46] hinges,stimulus [46] stimulus,virus [46] virus,battle [46] battle,officials [43] reuters,global [36] international,monetary Top Word Pairs in Tweet in G9:
[28] world,bank [10] sustainable,recovery [10] covid,19 [8] techno,brain [7] people,planet [6] climate,change [6] emerging,markets [6] recovery,people [6] global,poverty [5] imf,sees Top Word Pairs in Tweet in G10:
[40] global,poverty [31] fighting,global [29] #endpoverty,day [27] urgency,fighting [19] day,year [19] year,event [19] event,highlight [19] highlight,urgency [15] covid,19 [15] join,live Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: