The graph represents a network of 2,654 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 Tuesday, 29 December 2020 at 15:36 UTC.
The requested start date was Monday, 28 December 2020 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, 22-hour, 45-minute period from Monday, 14 December 2020 at 01:30 UTC to Monday, 28 December 2020 at 00:15 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 : 2654
Unique Edges : 2343
Edges With Duplicates : 5083
Total Edges : 7426
Number of Edge Types : 5
Retweet : 2073
MentionsInRetweet : 3281
Mentions : 1618
Tweet : 315
Replies to : 139
Self-Loops : 334
Reciprocated Vertex Pair Ratio : 0.0164638511095204
Reciprocated Edge Ratio : 0.0323943661971831
Connected Components : 121
Single-Vertex Connected Components : 64
Maximum Vertices in a Connected Component : 2284
Maximum Edges in a Connected Component : 6883
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.275197
Graph Density : 0.000605022367364469
Modularity : 0.444385
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 2,654 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 Tuesday, 29 December 2020 at 15:36 UTC.
The requested start date was Monday, 28 December 2020 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, 22-hour, 45-minute period from Monday, 14 December 2020 at 01:30 UTC to Monday, 28 December 2020 at 00:15 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:
[212] climate,change [146] learning,affected [141] human,development [138] affected,#covid19 [137] china,global [135] #climatechange,threatens [135] threatens,erode [135] erode,progress [135] progress,nearly [135] nearly,area Top Word Pairs in Tweet in G1:
[86] climate,change [64] #climatechange,threatens [64] threatens,erode [64] erode,progress [64] progress,nearly [64] nearly,area [64] area,human [64] human,development [64] development,2050 [64] 2050,force Top Word Pairs in Tweet in G2:
[96] learning,affected [90] affected,#covid19 [83] worldbank,ft4s [79] #covid19,pandemic [59] 16,19 [56] 19,years [56] years,old [54] between,16 [54] old,share [53] share,learning Top Word Pairs in Tweet in G3:
[60] climate,change [51] #climatechange,threatens [51] threatens,erode [51] erode,progress [51] progress,nearly [51] nearly,area [51] area,human [51] human,development [51] development,2050 [51] 2050,force Top Word Pairs in Tweet in G4:
[25] strengthen,resilience [25] resilience,agricultural [23] world,bank [21] support,cgiar [21] agricultural,sector [20] climate,research [19] iamcelinacc,justintrudeau [19] justintrudeau,worldbank [18] help,strengthen [17] worldbank,seriously Top Word Pairs in Tweet in G5:
[131] fudge,open [131] open,investigation [131] investigation,reveals [131] reveals,without [131] without,irregularities [131] irregularities,china [131] china,global [131] global,ranking [130] akbaruddinindia,fudge Top Word Pairs in Tweet in G6:
[13] wbg_climate,worldbank [9] eight,thousand [9] thousand,acres [9] acres,deforestation [9] deforestation,loss [9] loss,six [9] six,half [9] half,thousand [9] thousand,crore [9] crore,wbg_climate Top Word Pairs in Tweet in G7:
[18] pm2,exposure [18] life,expectancy [17] global,population [17] exposure,reduced [17] reduced,average [17] average,global [17] global,life [17] expectancy,birth [15] meeting,#cleancooking [15] #cleancooking,target Top Word Pairs in Tweet in G8:
[15] #fintechs,growing [15] growing,during [15] during,#covid19 [15] #covid19,unevenly [15] unevenly,#fintech [15] #fintech,firms [15] firms,reported [15] reported,need [15] need,more [15] more,supportive Top Word Pairs in Tweet in G9:
[21] national,statistical [21] statistical,offices [21] offices,adjusting [21] adjusting,challenges [21] challenges,posed [21] posed,#covid19 [21] #covid19,continue [21] continue,collecting [21] collecting,critical [21] critical,data Top Word Pairs in Tweet in G10:
[70] global,leaders [70] leaders,ban [70] ban,flyethiopian [70] flyethiopian,airspace [70] airspace,especially [70] especially,eu [70] eu,partners [70] partners,embargo [70] embargo,weapon [69] lindarefugee,global 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:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: