The graph represents a network of 3,404 Twitter users whose recent tweets contained "WRI OR (World Resources Institute)", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/13/2023 5:00:34 PM. The network was obtained from Twitter on Saturday, 14 January 2023 at 19:57 UTC.
The tweets in the network were tweeted over the 940-day, 15-hour, 58-minute period from Wednesday, 17 June 2020 at 09:00 UTC to Saturday, 14 January 2023 at 00:59 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 3404
Unique Edges : 2723
Edges With Duplicates : 6431
Total Edges : 9154
Number of Edge Types : 9
Retweet : 1019
MentionsInRetweet : 1586
MentionsInReplyTo : 1041
Replies to : 622
Mentions : 724
Quote : 684
Tweet : 3326
MentionsInQuote : 34
MentionsInQuoteReply : 118
Self-Loops : 3530
Reciprocated Vertex Pair Ratio : 0.0518975024326954
Reciprocated Edge Ratio : 0.0986740672217083
Connected Components : 1084
Single-Vertex Connected Components : 466
Maximum Vertices in a Connected Component : 678
Maximum Edges in a Connected Component : 2171
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.773224
Graph Density : 0.000279959654041347
Modularity : 0.387546
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 3,404 Twitter users whose recent tweets contained "WRI OR (World Resources Institute)", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/13/2023 5:00:34 PM. The network was obtained from Twitter on Saturday, 14 January 2023 at 19:57 UTC.
The tweets in the network were tweeted over the 940-day, 15-hour, 58-minute period from Wednesday, 17 June 2020 at 09:00 UTC to Saturday, 14 January 2023 at 00:59 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[1792] allows,ruby [1792] sdk,official [1792] kit,allows [1792] official,software [1792] tencentcloud,sdk [1792] cloud,ruby [1792] software,development [1792] tencent,cloud [1792] development,kit [1792] ruby,sdk Top Word Pairs in Tweet in G1:
[186] داخل,مدينة [186] اليوم,اخبار [186] وسائل,دفع [186] نا,الان [186] 24,ساعة [186] زيارات,منزلية [186] الرياض,أفضل [186] جدة,الرياض [186] مساج,داخل [186] ه,نا Top Word Pairs in Tweet in G2:
[64] climate,change [56] learn,more [45] secretariat,high [45] high,ambition [45] thegef,co [45] permanent,secretariat [43] impacts,climate [41] climate,chang [41] projects,adapt [41] crisis,impacts Top Word Pairs in Tweet in G3:
[29] pgideons7,mitey87 [29] andycappthedj,nehamnzilani [26] nehamnzilani,democritus_wri [26] democritus_wri,billiegin02 [25] #fusers,#tribecapitalfm [18] mitey87,jojomackenzie2 [18] clyntn,#fusers [17] korle08,andycappthedj [15] #tribecapitalfm,korle08 [14] billiegin02,pgideons7 Top Word Pairs in Tweet in G4:
[6] rainbow910519,noriskywaker [6] yorimo_nankyok,takkgr [6] web_mausk,ponpon_felt [6] tsubasa_wri,vradultnews [6] tamakoto07,tsubasa_wri [6] ponpon_felt,yorimo_nankyok [6] vradultnews,web_mausk [6] takkgr,yutohorse [6] noriskywaker,tamakoto07 [5] mocota_first,kanakodiet50 Top Word Pairs in Tweet in G5:
[35] ivan,capelli [35] mónaco,1988 [35] v8,gp [35] march,881 [35] 1988,#f1 [35] wri,dppi [35] #f1,wri [35] cv,v8 [35] gp,mónaco [35] capelli,leyton Top Word Pairs in Tweet in G6:
[16] wri,india [8] air,quality [7] delhi,worsening [7] pollution,curbs [7] curbs,adopting [7] anti,pollution [7] worsening,air [7] quality,led [7] strict,anti [7] adopting,low Top Word Pairs in Tweet in G7:
[3] arriagadapad,norbertocultura [3] giz_gmbh,alcaldiadebosa [3] munirosario,figueroaeme [3] encicla,munirosario [3] siembra,infraestructura [3] urbanthoughts11,delacuadra_cdmx [3] bocarejo_jp,maferojas [3] lballesterosm,ladelacicla [3] brenttoderian,newindie_ [3] globalstreets,bogota Top Word Pairs in Tweet in G8:
[40] tolkamparjan,jpaternotte [39] tsearchinger,idealisten [39] zijn,oud [39] heeft,zijn [39] jpaternotte,vraag [39] hij,meer [39] vertrouwen,heeft [39] collega,tsearchinger [39] vraag,rhdijkgraaf [39] eens,hij Top Word Pairs in Tweet in G9:
[40] 5u,wri [40] mia,1u [40] 5u,fla [40] 5u,plays [40] 10,5u [40] net,5u [40] ov,5u [40] last,10 [40] ball,5u [40] fla,5u Top Word Pairs in Tweet in G10:
[39] shading,cooling [39] urban,trees [39] article,diagrams [39] diagrams,urban [39] cooling,localised [39] trees,provide [39] #geography,article [39] brilliant,#geography [39] provide,shading [39] localised,areas Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: