The graph represents a network of 18,302 Twitter users whose recent tweets contained "greenland", 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 Thursday, 22 August 2019 at 09:32 UTC.
The tweets in the network were tweeted over the 1-hour, 35-minute period from Thursday, 22 August 2019 at 06:43 UTC to Thursday, 22 August 2019 at 08:19 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 : 18302
Unique Edges : 20940
Edges With Duplicates : 1214
Total Edges : 22154
Self-Loops : 1621
Reciprocated Vertex Pair Ratio : 0.0026531838205847
Reciprocated Edge Ratio : 0.00529232612711568
Connected Components : 1260
Single-Vertex Connected Components : 608
Maximum Vertices in a Connected Component : 15627
Maximum Edges in a Connected Component : 19264
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 3.821873
Graph Density : 5.97978947594193E-05
Modularity : 0.678015
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[10475] greenland,melting [10446] oceans,boiling [10445] amazon,burning [10445] ecosystems,crashing [10428] fire,3 [10425] 3,oceans [10425] boiling,4 [10424] remember,1 [10422] 1,amazon [10422] burning,2 Top Word Pairs in Tweet in G1:
[10333] remember,1 [10333] fire,3 [10333] 3,oceans [10333] oceans,boiling [10333] boiling,4 [10333] 4,coral [10333] dying,5 [10333] greenland,melting [10333] ecosystems,crashing [10331] 1,amazon Top Word Pairs in Tweet in G2:
[532] buy,greenland [279] prime,minister [250] chosen,one [248] revived,fictional [209] buying,greenland [195] trump,made [195] false,claims [175] sell,greenland [175] donald,trump [156] jews,vote Top Word Pairs in Tweet in G3:
[138] buy,greenland [117] prime,minister [82] mette,frederiksen [73] minister,mette [70] purchase,greenland [65] very,special [65] special,country [65] country,incredible [65] incredible,people [65] people,based Top Word Pairs in Tweet in G4:
[90] buy,greenland [48] chosen,one' [48] sets,new [48] new,benchmark [48] benchmark,incoherence [47] one',boasts [47] boasts,insults [47] trump,sets [45] insults,trump [44] calls,danish Top Word Pairs in Tweet in G5:
[316] second,coming [315] coming,god [307] king,israel [257] buy,greenland [222] trump,tweeting [222] tweeting,people [222] people,calling [222] calling,king [222] israel,second [222] god,tried Top Word Pairs in Tweet in G6:
[201] feeling,realise [201] realise,greenland [201] greenland,big [201] big,daft [201] daft,distraction [101] buy,greenland [98] donald,trump [90] trade,deal [89] uk,trade [86] being,denied Top Word Pairs in Tweet in G7:
[143] president,trump [123] trump,made [123] false,claims [122] made,11 [122] 11,false [122] claims,speaking [122] speaking,reporters [122] reporters,more [122] more,half [122] half,hour Top Word Pairs in Tweet in G8:
[181] sell,greenland [96] t,sell [95] won,t [95] greenland,s [94] north,korea [94] saudi,arabia [94] cancels,trip [93] trump,rolls [93] rolls,out [93] out,red Top Word Pairs in Tweet in G9:
[159] 1,3 [152] sexual,abuse [150] greenland,one [150] one,highest [150] highest,suicide [150] suicide,rates [150] rates,world [150] world,1 [150] 3,children [150] children,experience Top Word Pairs in Tweet in G10:
[113] sell,greenland [92] united,states [92] cancels,trip [91] queen,denmark [91] denmark,invites [91] invites,president [91] president,united [91] states,visit [91] visit,country [91] country,accepts Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
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Top Mentioned in G7:
Top Mentioned in G8:
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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: