The graph represents a network of 4,220 Twitter users whose tweets in the requested range contained "WRI OR (World Resources Institute)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 30 July 2022 at 18:57 UTC.
The requested start date was Saturday, 30 July 2022 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 10-day, 13-hour, 51-minute period from Monday, 18 July 2022 at 23:13 UTC to Friday, 29 July 2022 at 13:05 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 : 4220
Unique Edges : 4091
Edges With Duplicates : 11710
Total Edges : 15801
Number of Edge Types : 5
Retweet : 2398
MentionsInRetweet : 3281
Tweet : 3638
Replies to : 2058
Mentions : 4426
Self-Loops : 3673
Reciprocated Vertex Pair Ratio : 0.104038946988821
Reciprocated Edge Ratio : 0.188469704393271
Connected Components : 628
Single-Vertex Connected Components : 335
Maximum Vertices in a Connected Component : 1082
Maximum Edges in a Connected Component : 3360
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.923704
Graph Density : 0.000343908003626115
Modularity : 0.369516
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 4,220 Twitter users whose tweets in the requested range contained "WRI OR (World Resources Institute)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 30 July 2022 at 18:57 UTC.
The requested start date was Saturday, 30 July 2022 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 10-day, 13-hour, 51-minute period from Monday, 18 July 2022 at 23:13 UTC to Friday, 29 July 2022 at 13:05 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 : WRI OR (World Resources Institute)
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:
[1484] tencentcloud,sdk [1484] tencent,cloud [1484] cloud,ruby [1484] ruby,sdk [1484] sdk,official [1484] official,software [1484] software,development [1484] development,kit [1484] kit,allows [1484] allows,ruby Top Word Pairs in Tweet in G1:
[56] learn,more [55] climate,change [27] more,jobvite [27] jobvite,friend [26] friend,#nonprofitjobs [26] #hiring,join [26] join,wriclimate [26] job,description [25] description,application [24] #nonprofitjobs,#greenjobs Top Word Pairs in Tweet in G2:
[46] wide,ranging [46] ranging,impacts [43] climate,change [41] rising,frequency [41] frequency,intensity [41] intensity,duration [41] duration,extreme [41] extreme,climate [41] climate,events [41] events,wide Top Word Pairs in Tweet in G3:
[1484] tencentcloud,sdk [1484] tencent,cloud [1484] cloud,ruby [1484] ruby,sdk [1484] sdk,official [1484] official,software [1484] software,development [1484] development,kit [1484] kit,allows [1484] allows,ruby Top Word Pairs in Tweet in G4:
[37] bukowsky88,doyouwantacoff1 [37] doyouwantacoff1,espinadas [37] espinadas,me_friki [36] espinoporaqui,julipan79 [36] me_friki,elena10002 [35] philotimoiris,espinoporaqui [35] julipan79,jperezgabarros [35] aautotruck,bukowsky88 [34] multiversojota,labutacamaldita [30] jperezgabarros,yepesanz Top Word Pairs in Tweet in G5:
[50] gt,gt [8] world,record [6] world,champion [4] kai,havertz [4] ve,seen [4] whole,world [4] funniest,video [4] little,miss [4] work,smarter [4] smarter,harder Top Word Pairs in Tweet in G6:
[50] democritus_wri,onlyzans [29] httpsowtf,democritus_wri [24] deejaytumz,thefuse984 [20] phildl616,democritus_wri [19] dextertechnix,mildgothling [19] mildgothling,andycappthedj [18] bobblebardsley,democritus_wri [18] andycappthedj,nicholusmwai [18] nicholusmwai,mopelleni [18] mopelleni,sandraposh5 Top Word Pairs in Tweet in G7:
[56] hours,follow [42] giveaway,saldo [40] 000,idr [37] saldo,dana [31] 24,hours [28] mau,giveaway [28] retweet,follow [26] one,winner [25] tweet,ini [24] buat,orang Top Word Pairs in Tweet in G8:
[187] limit,warming [187] impacts,climate [187] climate,change [186] warming,avoid [186] avoid,worst [186] worst,impacts [186] change,difference [186] difference,between [185] ravikarkara,limit [15] mangroves,seagrass Top Word Pairs in Tweet in G9:
[67] mass,shooter [67] shooter,gets [67] gets,dunked [67] dunked,22 [67] 22,year [67] year,old [67] old,glock [65] glock,youtube [14] best,analysis [14] analysis,warrior Top Word Pairs in Tweet in G10:
[8] hachi666_wri,xig_ff14 [3] alphanorn,xig_ff14 [3] gihara_,xig_ff14 [3] xig_ff14,hachi666_wri [2] stray,レビュー [2] レビュー,猫がサイバーパンク世界に迷う [2] 猫がサイバーパンク世界に迷う,恐怖と癒やし [2] 恐怖と癒やし,驚きが交互に襲う猫チャン堪能アドベンチャー [2] 驚きが交互に襲う猫チャン堪能アドベンチャー,#stray [2] 酪農家支援,夏休みで消費減 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G5:
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:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G10: