The graph represents a network of 8,517 Twitter users whose tweets in the requested range contained "green growth", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 20 October 2020 at 22:37 UTC.
The requested start date was Tuesday, 20 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 13-day, 14-hour, 51-minute period from Tuesday, 06 October 2020 at 09:00 UTC to Monday, 19 October 2020 at 23:51 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 : 8517
Unique Edges : 5237
Edges With Duplicates : 10942
Total Edges : 16179
Number of Edge Types : 5
Tweet : 1363
Replies to : 696
Mentions : 2086
Retweet : 5108
MentionsInRetweet : 6926
Self-Loops : 1419
Reciprocated Vertex Pair Ratio : 0.0175323968202113
Reciprocated Edge Ratio : 0.0344606164383562
Connected Components : 1579
Single-Vertex Connected Components : 689
Maximum Vertices in a Connected Component : 3796
Maximum Edges in a Connected Component : 8898
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 8.739908
Graph Density : 0.000128828078653292
Modularity : 0.584814
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 8,517 Twitter users whose tweets in the requested range contained "green growth", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 20 October 2020 at 22:37 UTC.
The requested start date was Tuesday, 20 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 13-day, 14-hour, 51-minute period from Tuesday, 06 October 2020 at 09:00 UTC to Monday, 19 October 2020 at 23:51 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 growth
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:
[724] pacific,bioenergy [710] green,growth [673] gives,pacific [648] bioenergy,green [629] wood,pellets [610] rare,inland [609] green,light [559] light,log [556] log,rare [550] inland,rainforest Top Word Pairs in Tweet in G1:
[135] green,growth [56] green,light [51] wood,pellets [49] light,log [48] pacific,bioenergy [48] log,rare [48] rare,inland [48] inland,rainforest [47] gives,pacific [47] rainforest,wood Top Word Pairs in Tweet in G2:
[389] old,growth [249] growth,forest [247] ludicrous,cutting [247] cutting,carbon [247] carbon,capturing [247] capturing,old [247] forest,use [247] use,allegedly [247] allegedly,green [247] green,biofuel Top Word Pairs in Tweet in G3:
[344] pacific,bioenergy [337] gives,pacific [270] bioenergy,green [231] wood,pellets [230] rare,inland [223] green,light [223] light,log [221] log,rare [219] inland,rainforest [216] rainforest,wood Top Word Pairs in Tweet in G4:
[87] green,growth [35] greens,founder [35] founder,bob [35] bob,brown [35] brown,australia [35] australia,needs [35] needs,leader [35] leader,helping [35] helping,drive [35] drive,down Top Word Pairs in Tweet in G5:
[128] economic,investment [128] investment,plan [123] plan,#westernbalkans [84] economic,development [83] today,present [83] present,economic [83] #westernbalkans,boost [83] boost,economic [83] development,recovery [83] recovery,region Top Word Pairs in Tweet in G6:
[213] extraordinary,see [213] choose,cut [213] cut,nose [213] nose,spite [213] spite,face [213] face,approach [213] approach,negotiations [212] andrealeadsom,extraordinary [212] see,eu [212] eu,choose Top Word Pairs in Tweet in G7:
[16] kivunature,kenneth72712993 [16] kenneth72712993,mrpjtay [16] mrpjtay,liberalguy7 [16] liberalguy7,jimdtweet [16] jimdtweet,bubbasranch [16] bubbasranch,jgorman2424 [16] jgorman2424,ibergwiesel [16] ibergwiesel,denglerjoachim [15] voight_kampff_3,kivunature [4] old,growth Top Word Pairs in Tweet in G8:
[259] plant,tree [259] plant,hope [259] sustainable,growth [256] tree,plant [254] survival,present [251] growth,survival [243] present,future [232] hope,sustainable [122] #savenatureforfuture,gurmeetramrahim [121] gurmeetramrahim,plant Top Word Pairs in Tweet in G9:
[49] rare,inland [49] wood,pellets [48] pacific,bioenergy [48] bioenergy,green [45] #log,rare [45] inland,#rainforest [45] #rainforest,wood [45] plant,grind [44] #bcpoli,pacific [44] green,#log Top Word Pairs in Tweet in G10:
[30] india,european [30] european,union [30] union,natural [30] natural,partners [30] partners,quest [30] quest,environmental [27] tallahassee,rolled [27] rolled,back [27] back,growth [27] growth,management Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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 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: