The graph represents a network of 6,466 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 Wednesday, 13 November 2019 at 11:12 UTC.
The tweets in the network were tweeted over the 8-day, 19-hour, 32-minute period from Monday, 04 November 2019 at 14:59 UTC to Wednesday, 13 November 2019 at 10:31 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 : 6466
Unique Edges : 19669
Edges With Duplicates : 3378
Total Edges : 23047
Self-Loops : 1807
Reciprocated Vertex Pair Ratio : 0.021612119331989
Reciprocated Edge Ratio : 0.0423098334935979
Connected Components : 1033
Single-Vertex Connected Components : 667
Maximum Vertices in a Connected Component : 4367
Maximum Edges in a Connected Component : 20586
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.28482
Graph Density : 0.000472672930856842
Modularity : 0.642372
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 6,466 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 Wednesday, 13 November 2019 at 11:12 UTC.
The tweets in the network were tweeted over the 8-day, 19-hour, 32-minute period from Monday, 04 November 2019 at 14:59 UTC to Wednesday, 13 November 2019 at 10:31 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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[5094] offshore,wind [1134] wind,farm [384] wind,power [349] largest,offshore [330] santa,ana [308] wind,turbine [298] wind,farms [289] read,more [287] wind,energy [267] power,more Top Word Pairs in Tweet in G1:
[1296] offshore,wind [215] wind,farm [180] wind,turbine [161] haliade,x [139] europe,conference [132] 10th,annual [130] #offshore,#floating [130] #floating,#wind [130] #wind,europe [128] annual,#offshore Top Word Pairs in Tweet in G2:
[637] offshore,wind [140] wind,farm [76] wind,energy [65] wind,power [54] wind,farms [45] wind,turbine [44] world,s [40] first,offshore [32] buy,french [31] floating,wind Top Word Pairs in Tweet in G3:
[492] offshore,wind [224] star,south [218] wind,farm [140] testing,begins [135] begins,first [126] 18,state [126] state,s [126] s,power [121] south,wind [116] power,demand Top Word Pairs in Tweet in G4:
[209] offshore,wind [49] virginia,offshore [44] wind,energy [42] giga,terra [42] terra,scam [42] scam,offshore [31] 8,billion [28] wind,turbine [25] wind,now [25] now,cost Top Word Pairs in Tweet in G5:
[253] offshore,wind [212] read,more [210] change,air [207] air,read [121] trillion,dollar [121] dollar,industry [91] wind,now [91] now,trillion [91] industry,next [91] next,step Top Word Pairs in Tweet in G6:
[330] santa,ana [247] time,year [215] #cawx,#socal [204] offshore,wind [186] wind,events [174] #cawx,#cafire [169] offshore,santa [165] ana,winds [161] southern,california [161] california,gusty Top Word Pairs in Tweet in G7:
[173] offshore,#wind [168] success,story [167] #wind,#energy [166] #energy,young [166] young,trillion [166] trillion,#industry [166] #industry,success [166] story,#renewbleenergy [166] #renewbleenergy,#energytransition [166] #energytransition,#cleanenergy Top Word Pairs in Tweet in G8:
[234] offshore,wind [204] wind,farm [203] farm,power [203] power,more [203] more,1 [202] uk,soon [202] soon,open [202] open,world's [202] world's,largest [202] largest,offshore Top Word Pairs in Tweet in G9:
[117] offshore,wind [74] wind,marine [73] cracking,programme [73] programme,rte [73] rte,boucherhayes [73] boucherhayes,reduce [73] reduce,climate [73] climate,emissions [73] emissions,greener [73] greener,more Top Word Pairs in Tweet in G10:
[170] offshore,wind [75] north,east [54] wind,north [40] largest,offshore [37] find,out [33] wind,farm [22] noflimited,offshore [18] s,largest [16] world,s [14] renewable,energy Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: