The graph represents a network of 5,276 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, 18 September 2021 at 18:50 UTC.
The requested start date was Saturday, 18 September 2021 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, 12-hour, 54-minute period from Saturday, 04 September 2021 at 00:10 UTC to Friday, 17 September 2021 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 : 5276
Unique Edges : 4867
Edges With Duplicates : 12033
Total Edges : 16900
Number of Edge Types : 5
Retweet : 2944
MentionsInRetweet : 5722
Mentions : 3463
Tweet : 3276
Replies to : 1495
Self-Loops : 3303
Reciprocated Vertex Pair Ratio : 0.0763742500405384
Reciprocated Edge Ratio : 0.141910213919855
Connected Components : 1337
Single-Vertex Connected Components : 834
Maximum Vertices in a Connected Component : 1310
Maximum Edges in a Connected Component : 4442
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.516989
Graph Density : 0.000238511869900003
Modularity : 0.399472
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 5,276 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, 18 September 2021 at 18:50 UTC.
The requested start date was Saturday, 18 September 2021 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, 12-hour, 54-minute period from Saturday, 04 September 2021 at 00:10 UTC to Friday, 17 September 2021 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:
[835] junya,watanabe [574] watanabe,wri [512] ø,ø [503] ø,ù [461] ù,ø [456] ù,ù [388] ãƒ,ム[188] watanabe,wri' [140] paper,wri [135] wri,wri Top Word Pairs in Tweet in G1:
[452] junya,watanabe [318] watanabe,wri [110] watanabe,wri' [89] ù,ù [71] paper,wri [70] wri,wri [69] biology,paper [67] help,pay [58] essay,pay [51] wri',wri' Top Word Pairs in Tweet in G2:
[92] hottest,summer [57] wriclimate,ca_latest [57] wri,india [52] learn,more [52] trade,associations [51] clean,energy [49] climate,risks [48] urbanshift,shiftcities [47] protecting,restoring [47] restoring,nature Top Word Pairs in Tweet in G3:
[37] champions,league [22] gt,gt [17] manchester,united [17] premier,league [16] aa,aa [14] young,boys [12] cristiano,ronaldo [12] lionel,messi [11] club,brugge [10] man,united Top Word Pairs in Tweet in G4:
[36] ka_nicholas,warming [36] sure,bad [36] bad,fix [35] waiterich,ka_nicholas [25] warming,usâ [25] usâ,sure [25] fix,itâ [25] itâ,reaffirmed [24] reaffirmed,thâ [21] limiting,warming Top Word Pairs in Tweet in G5:
[98] sittohamza,phil_mikemwangi [96] ruthieruwen,joanmuramba [93] phil_mikemwangi,juspermachogu [88] rubenpirate,ruthieruwen [88] joanmuramba,sittohamza [80] juspermachogu,gitauke [58] dmwatha,rubenpirate [54] teddywangui,giitwa_gichuki [51] giitwa_gichuki,slimpheebz [49] democritus_wri,teddywangui Top Word Pairs in Tweet in G6:
[21] calidad,aire [12] beatriz,cárdenas [11] directora,calidad [9] lballesterosm,ladelacicla [9] ladelacicla,sectormovilidad [9] sectormovilidad,nico_estupinan [9] nico_estupinan,mafe_mindy [8] arriagadapad,norbertocultura [8] cárdenas,directora [7] world,resources Top Word Pairs in Tweet in G7:
[84] ì,ì [71] ë,ì [68] ì,ë [64] ë,ë [44] ê,ì [36] ì,ê [28] ê,ë [28] í,ì [28] ì,í [22] í,ë Top Word Pairs in Tweet in G8:
[44] ate,wri [29] happy,birthday [18] _02jks,txt_members [15] birthday,wri [10] _02jks,good [9] txt_members,happy [8] _02jks,ate [8] _02jks,omg [8] _02jks,wri [8] wri,lt Top Word Pairs in Tweet in G9:
[6] meet,inspiring [6] inspiring,speakers [6] speakers,uniting [6] uniting,#glfamazonia [6] #glfamazonia,find [6] find,solutions [6] solutions,inside [6] inside,marinasilva [5] globallf,meet [5] marinasilva,_ Top Word Pairs in Tweet in G10:
[20] ãƒ,ム[6] #ã,マå [6] šã,œã [6] ç,ç [5] ÿã,šã [4] ãƒ,#ã [4] マå,ム[4] リãƒ,ム[4] æ,æ [4] œã,æ Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G6:
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:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: