The graph represents a network of 6,725 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 Tuesday, 22 September 2020 at 23:01 UTC.
The requested start date was Tuesday, 22 September 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 4-day, 7-hour, 25-minute period from Thursday, 17 September 2020 at 16:35 UTC to Tuesday, 22 September 2020 at 00:00 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 : 6725
Unique Edges : 4582
Edges With Duplicates : 9639
Total Edges : 14221
Number of Edge Types : 5
Tweet : 3229
Retweet : 3855
MentionsInRetweet : 5289
Mentions : 1624
Replies to : 224
Self-Loops : 3517
Reciprocated Vertex Pair Ratio : 0.0181523500810373
Reciprocated Edge Ratio : 0.0356574339382362
Connected Components : 2306
Single-Vertex Connected Components : 1449
Maximum Vertices in a Connected Component : 1750
Maximum Edges in a Connected Component : 5979
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 7.885341
Graph Density : 0.000138924210894117
Modularity : 0.49738
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 6,725 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 Tuesday, 22 September 2020 at 23:01 UTC.
The requested start date was Tuesday, 22 September 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 4-day, 7-hour, 25-minute period from Thursday, 17 September 2020 at 16:35 UTC to Tuesday, 22 September 2020 at 00:00 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[305] #etsy,shop [288] excited,share [259] latest,addition [257] addition,#etsy [250] share,latest [149] #nature,#green [139] motivos,trabajo [139] compartiría,rol [108] #nature,#trees [103] #forest,#nature Top Word Pairs in Tweet in G1:
[157] #etsy,shop [144] excited,share [137] latest,addition [135] addition,#etsy [133] share,latest [35] #green,#nature [35] #green,#緑 [33] #nature,#green [32] #blue,#green [31] #plants,#nature Top Word Pairs in Tweet in G2:
[119] #etsy,shop [115] excited,share [97] latest,addition [97] addition,#etsy [92] share,latest [63] #puffsleeve,#bolero [63] #bolero,#handmade [63] #handmade,#sweater [63] #sweater,#evening [63] #evening,#dress Top Word Pairs in Tweet in G3:
[59] #greens,#green [50] #green,#ecosocialism [47] #wemeantoclean,#cleandelhi [39] #cleandelhi,#swachhbharat [31] #swachhbharat,#airpollution [25] please,check [25] check,video [25] video,draw [24] #greenparty,#greens [24] britain,food Top Word Pairs in Tweet in G4:
[100] #green,vote [90] vote,november [90] november,powerful [90] powerful,message [90] message,send [90] send,undemocratic [90] undemocratic,dnc [90] dnc,establishment [89] savoltolin,#green [33] vote,#green Top Word Pairs in Tweet in G5:
[48] probably,#bushfires [48] #bushfires,nothing [48] nothing,'#climatechange' [48] '#climatechange',everything [48] everything,#green [48] #green,environmental [48] environmental,policy [47] ellymelly,probably [34] anyone,going [34] going,ask Top Word Pairs in Tweet in G6:
[139] motivos,trabajo [139] compartiría,rol [90] female,deadrabbitsclub [90] deadrabbitsclub,#green [90] #green,minimo [89] trabajo,necesito [89] necesito,chica [89] chica,suport [89] suport,compartiría [89] rol,conmigo Top Word Pairs in Tweet in G7:
[102] current,world [102] world,single [102] single,become [102] become,rich [102] rich,become [102] become,poor [102] poor,support [102] support,cash [102] cash,#forest [102] #forest,#nature Top Word Pairs in Tweet in G8:
[43] domenica,20 [41] danieladucato,domenica [24] 20,ore [24] ore,21 [24] 21,20 [24] 20,presa_diretta [24] presa_diretta,#sardegna [24] #sardegna,può [24] può,essere [24] essere,#green Top Word Pairs in Tweet in G9:
[12] voting,#green [8] top,#green [8] #green,story [8] see,more [6] vote,#green [6] gobsmacked,joebiden [6] joebiden,'s [6] 's,answer [6] answer,#farmers [6] #farmers,impact Top Word Pairs in Tweet in G10:
[7] india,potential [7] potential,become [7] become,world [7] world,largest [7] largest,producer [7] producer,exporters [7] exporters,#green [7] #green,#ch3oh [7] #ch3oh,jet [7] jet,fuel Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
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 G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: