The graph represents a network of 5,334 Twitter users whose recent tweets contained "Offshore wind", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 24 January 2021 at 00:08 UTC.
The tweets in the network were tweeted over the 8-day, 3-hour, 11-minute period from Friday, 15 January 2021 at 20:23 UTC to Saturday, 23 January 2021 at 23:34 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 : 5334
Unique Edges : 8130
Edges With Duplicates : 2726
Total Edges : 10856
Number of Edge Types : 5
Replies to : 518
Tweet : 1469
Retweet : 3284
Mentions : 2377
MentionsInRetweet : 3208
Self-Loops : 1505
Reciprocated Vertex Pair Ratio : 0.0225875266658301
Reciprocated Edge Ratio : 0.0441771996563996
Connected Components : 900
Single-Vertex Connected Components : 512
Maximum Vertices in a Connected Component : 3156
Maximum Edges in a Connected Component : 7995
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 6.80942
Graph Density : 0.000286470379089357
Modularity : 0.724582
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 5,334 Twitter users whose recent tweets contained "Offshore wind", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 24 January 2021 at 00:08 UTC.
The tweets in the network were tweeted over the 8-day, 3-hour, 11-minute period from Friday, 15 January 2021 at 20:23 UTC to Saturday, 23 January 2021 at 23:34 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 : TwitterSearch
Graph Term : Offshore wind
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:
[4019] offshore,wind [671] wind,farm [452] green,hydrogen [414] wind,power [338] wind,turbines [262] wind,farms [234] weather,event [222] world,first [203] wind,event [200] related,outages Top Word Pairs in Tweet in G1:
[571] offshore,wind [97] wind,farm [52] wind,power [46] wind,energy [42] green,hydrogen [36] largest,offshore [31] wind,turbines [27] wind,farms [26] wind,award [25] york,selects Top Word Pairs in Tweet in G2:
[485] offshore,wind [87] wind,farm [55] green,hydrogen [38] wind,industry [34] read,more [30] largest,offshore [29] 14,million [28] wind,power [28] wind,farms [27] environmental,research Top Word Pairs in Tweet in G3:
[430] offshore,wind [230] green,hydrogen [171] world,first [130] energy,island [120] future,danes [120] danes,unveil [120] unveil,vision [120] vision,world [120] first,artificial [120] artificial,energy Top Word Pairs in Tweet in G4:
[255] offshore,wind [234] weather,event [194] related,outages [180] fire,weather [177] offshore,weather [177] customers,urged [172] offshore,winds [169] wind,event [157] wind,driven [157] driven,damage Top Word Pairs in Tweet in G5:
[141] failed,580 [141] 580,million [90] japanese,pull [90] pull,scrap [90] scrap,failed [90] million,wind [90] wind,power [90] power,project [90] project,saw [90] saw,insanity Top Word Pairs in Tweet in G6:
[200] offshore,wind [169] partner,content [169] content,equinor_uk [140] wind,farm [67] dogger,bank [67] bank,offshore [67] farm,sign [67] sign,far [67] far,technology [67] technology,come Top Word Pairs in Tweet in G7:
[85] offshore,wind [12] ecoeye,rteone [11] mcmanusdavid,ecoeye [10] imaskar,nuklearia [10] nuklearia,vquaschning [10] wind,turbines [9] wind,power [8] wind,farms [6] bugatti37a,mattjcan [6] windkernkraftwerk,die Top Word Pairs in Tweet in G8:
[137] offshore,wind [67] being,blocked [53] wind,farm [48] remember,offshore [48] farm,being [48] blocked,rich [48] rich,york [48] york,nimbys [48] nimbys,lost [48] lost,route Top Word Pairs in Tweet in G9:
[122] offshore,wind [68] wind,turbines [55] wind,farm [35] mpi,resolution [35] purpose,built [32] world,first [31] first,purpose [31] built,vessel [31] vessel,installing [31] installing,offshore Top Word Pairs in Tweet in G10:
[72] offshore,wind [41] ny,expands [41] expands,offshore [41] wind,projects [41] projects,bringing [41] bringing,wind [41] wind,hub [41] hub,brooklyn [41] brooklyn,gothamist [41] gothamist,uprose Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: