The graph represents a network of 4,905 Twitter users whose tweets in the requested range contained "#green", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 09 November 2019 at 21:46 UTC.
The requested start date was Wednesday, 06 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 23-hour, 8-minute period from Monday, 04 November 2019 at 01:50 UTC to Wednesday, 06 November 2019 at 00:58 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 : 4905
Unique Edges : 5189
Edges With Duplicates : 1862
Total Edges : 7051
Number of Edge Types : 3
Mentions : 4696
Tweet : 2244
Replies to : 111
Self-Loops : 2244
Reciprocated Vertex Pair Ratio : 0.0186113099498926
Reciprocated Edge Ratio : 0.0365425158116655
Connected Components : 1665
Single-Vertex Connected Components : 1080
Maximum Vertices in a Connected Component : 564
Maximum Edges in a Connected Component : 1010
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.092362
Graph Density : 0.000177474794338766
Modularity : 0.681649
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,905 Twitter users whose tweets in the requested range contained "#green", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 09 November 2019 at 21:46 UTC.
The requested start date was Wednesday, 06 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 23-hour, 8-minute period from Monday, 04 November 2019 at 01:50 UTC to Wednesday, 06 November 2019 at 00:58 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 : #green
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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[972] à,à [877] ã,ã [315] ðÿ,ðÿ [243] #photography,#photo [237] katanahugo,green [205] #etsy,shop [194] excited,share [164] ãƒ,ム[163] latest,addition [163] addition,#etsy Top Word Pairs in Tweet in G1:
[484] ã,ã [381] à,à [125] ðÿ,ðÿ [107] ãƒ,ム[96] ã,ム[92] ãƒ,ã [82] â,â [77] #etsy,shop [66] excited,share [66] latest,addition Top Word Pairs in Tweet in G2:
[102] excited,share [102] #etsy,shop [71] share,latest [71] latest,addition [71] addition,#etsy [49] #festive,#christmas [48] #holidays2019,#musthave [47] #customize,#personalize [47] #personalize,#festive [47] #christmas,#holiday Top Word Pairs in Tweet in G3:
[238] #photography,#photo [234] katanahugo,green [135] green,valley [135] valley,#photography [135] #photo,#valley [135] #valley,#green [101] green,grass [101] grass,houses [101] houses,#photography [101] #photo,#house Top Word Pairs in Tweet in G4:
[36] imagine,politics [36] politics,change [36] change,#pr [36] #pr,#fairvoting [36] #fairvoting,new [36] new,zealand [36] zealand,rid [36] rid,#fptp [36] #fptp,pm [36] pm,adern Top Word Pairs in Tweet in G5:
[118] heart,#green [118] #green,soul [118] soul,soul [118] soul,nation [118] nation,needs [118] needs,#stopbrexit [118] #stopbrexit,#gtto [118] #gtto,iâ [118] iâ,ll [118] ll,waiting Top Word Pairs in Tweet in G6:
[19] jackthelad1947,hanslak [19] hanslak,seth_leitman [19] seth_leitman,debraruh [19] debraruh,charluv2011 [18] ðÿ,ðÿ [18] therealnumber6,risepdx [17] mzjacobson,jackthelad1947 [14] charluv2011,timguinee [14] timguinee,wernerkeil [12] txsharon,therealnumber6 Top Word Pairs in Tweet in G7:
[29] donor,di [22] di,utd [20] jm,#green [19] utd,rs [15] #hl,cc [13] #green,#jakarta [9] rs,fatmawati [9] fatmawati,donor [9] 08,00 [9] 2,ktg Top Word Pairs in Tweet in G8:
[59] let's,try [59] try,again [59] again,joshfrydenberg [59] joshfrydenberg,#auspol [59] #auspol,businesses [59] businesses,survive [59] survive,unless [59] unless,#scomo's [59] #scomo's,gov [59] gov,ditches Top Word Pairs in Tweet in G9:
[8] eclipticwatcher,resisterforever [5] resisterforever,ridgetopnm [5] ridgetopnm,abbeyzoe2209 [5] abbeyzoe2209,justwinks [5] justwinks,staceylovesweed [5] staceylovesweed,gomeschantel [5] gomeschantel,baadmaster [5] baadmaster,queenofroadking [4] resisterforever,dis3as3ip [4] dis3as3ip,k8tiegirrl Top Word Pairs in Tweet in G10:
[41] parents,deserve [41] deserve,transparency [41] transparency,risks [41] risks,benefits [41] benefits,medical [41] medical,intervention [41] intervention,haven't [41] haven't,getting [41] getting,captured [40] plumremson,parents Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
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: