The graph represents a network of 2,895 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, 03 October 2020 at 19:39 UTC.
The requested start date was Saturday, 03 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 5-day, 20-hour, 7-minute period from Saturday, 26 September 2020 at 17:20 UTC to Friday, 02 October 2020 at 13:28 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 : 2895
Unique Edges : 2951
Edges With Duplicates : 13090
Total Edges : 16041
Number of Edge Types : 5
Replies to : 2777
Mentions : 1912
Retweet : 3459
MentionsInRetweet : 5038
Tweet : 2855
Self-Loops : 2928
Reciprocated Vertex Pair Ratio : 0.102992957746479
Reciprocated Edge Ratio : 0.186751795690343
Connected Components : 366
Single-Vertex Connected Components : 173
Maximum Vertices in a Connected Component : 1530
Maximum Edges in a Connected Component : 12147
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 5.182082
Graph Density : 0.000598224186065387
Modularity : 0.279781
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 2,895 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, 03 October 2020 at 19:39 UTC.
The requested start date was Saturday, 03 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 5-day, 20-hour, 7-minute period from Saturday, 26 September 2020 at 17:20 UTC to Friday, 02 October 2020 at 13:28 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:
[176] ybyb02,wri__ [121] wri__,naabid_ [121] naabid_,55555i [106] بنفس,الوقت [105] 55555i,مالي [105] مالي,ورى [105] ورى,مدح [105] مدح,الاميره [105] الاميره,مقاصيد [105] مقاصيد,لكـن Top Word Pairs in Tweet in G1:
[175] ybyb02,wri__ [120] wri__,naabid_ [120] naabid_,55555i [105] بنفس,الوقت [104] انتم,النعمه [104] النعمه,الحلوه [104] الحلوه,اللي [104] اللي,علمتني [104] علمتني,ان [104] ان,حظي Top Word Pairs in Tweet in G2:
[41] learn,more [39] climate,change [39] covid,19 [33] forests,regrow [32] build,back [32] back,better [31] global,emissions [29] better,covid [26] landscape's,journey [26] journey,restoration Top Word Pairs in Tweet in G3:
[49] 10,20 [40] day,ahead [40] ahead,lmp [38] ㅤ,ㅤ [24] forecast,thru [24] thru,10 [23] hub,hl [19] vs,last [18] wind,generation [18] generation,forecast Top Word Pairs in Tweet in G4:
[22] gt,gt [6] screamy_abc,jaymzforzn [5] jaymzforzn,reghy_dj [4] one,day [4] girl,go [4] don,care [4] relationship,partner [3] الله,يرحمها [3] يرحمها,و [3] جد,ا Top Word Pairs in Tweet in G5:
[43] fb,kok [30] #exolvotebbma,#exol_indonesia [28] langsung,fb [27] masih,jauh [26] kok,#exolvotebbma [23] #exolvotebbma,#exolvotebbma [20] #exol_indonesia,#exolvotebbma [17] aku,fb [16] #exolvotebbma,#exol_letsbeone [16] fb,#exolvotebbma Top Word Pairs in Tweet in G6:
[12] latest,research [12] research,cities4forests [12] cities4forests,initiative [12] initiative,led [12] 60,cities [12] cities,around [11] led,60 [10] today,slocat [10] slocat,secretary [10] secretary,general Top Word Pairs in Tweet in G7:
[11] arriagadapad,papelysignos [11] papelysignos,lballesterosm [11] lballesterosm,ladelacicla [11] ladelacicla,sectormovilidad [11] sectormovilidad,nico_estupinan [11] nico_estupinan,mafe_mindy [11] mafe_mindy,carlosfpardo [8] dhidalgo65,arriagadapad [6] carlosfpardo,bocarej [4] carlosfpardo,bocarejo_jp Top Word Pairs in Tweet in G8:
[16] learn,more [16] more,#landaccelerator [10] join,upcoming [10] upcoming,#webinar [10] #webinar,advanced [10] advanced,dispersion [10] dispersion,modeling [10] modeling,accurate [10] accurate,#airquality [10] #airquality,prediction Top Word Pairs in Tweet in G9:
[5] و,لا [4] salem_mohd1,atef_ahmed_f [3] wri_kat,hismamer [3] ليس,من [2] وسبي,النساء [2] لا,يوجد [2] العقل,هو [2] هو,أن [2] في,هذا [2] لا,قيمة Top Word Pairs in Tweet in G10:
[3] darth,vader [3] tco_barrettb,realkevinkelly [2] pissedgoddess_,uberfacts [2] sleepy,joe [2] mom,darth [2] vader,home [2] whoopsie,tco_barrettb [2] realkevinkelly,thought [2] thought,spectacular [2] spectacular,bet Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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:
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: