The graph represents a network of 6,259 Twitter users whose recent tweets contained "global warming", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/5/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 06 March 2023 at 07:05 UTC.
The tweets in the network were tweeted over the 4406-day, 6-hour, 28-minute period from Thursday, 10 February 2011 at 18:31 UTC to Monday, 06 March 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 6259
Unique Edges : 3885
Edges With Duplicates : 10896
Total Edges : 14781
Number of Edge Types : 9
Retweet : 3018
MentionsInRetweet : 3632
Replies to : 1857
MentionsInReplyTo : 4525
Tweet : 1008
Quote : 245
Mentions : 312
MentionsInQuoteReply : 118
MentionsInQuote : 66
Self-Loops : 1310
Reciprocated Vertex Pair Ratio : 0.030171277997365
Reciprocated Edge Ratio : 0.0585752653792045
Connected Components : 946
Single-Vertex Connected Components : 309
Maximum Vertices in a Connected Component : 3774
Maximum Edges in a Connected Component : 10545
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.130983
Graph Density : 0.000199623057338819
Modularity : 0.517579
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 6,259 Twitter users whose recent tweets contained "global warming", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/5/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 06 March 2023 at 07:05 UTC.
The tweets in the network were tweeted over the 4406-day, 6-hour, 28-minute period from Thursday, 10 February 2011 at 18:31 UTC to Monday, 06 March 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : global warming
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:
[4741] global,warming [965] global,cooling [915] called,global [915] changed,global [912] warming,didn [909] cooling,didn [909] first,called [907] didn,colder [907] colder,changed [902] drloupis,first Top Word Pairs in Tweet in G1:
[865] global,warming [856] global,cooling [855] first,called [855] didn,colder [855] called,global [855] colder,changed [855] warming,didn [855] cooling,didn [855] changed,global [854] drloupis,first Top Word Pairs in Tweet in G2:
[605] global,warming [406] donner,summit [405] right,global [405] chills,negatives [405] wind,chills [404] warming,continues [404] wreak,havoc [404] ca,right [404] havoc,world [404] continues,wreak Top Word Pairs in Tweet in G3:
[523] global,warming [165] climate,scam [162] scam,1988 [162] predicted,196 [162] 1988,predicted [161] 196,islands [157] islands,maldives [144] maldives,drown [126] drown,between [106] due,global Top Word Pairs in Tweet in G4:
[321] global,warming [27] climate,change [12] scare,global [12] warming,remind [12] remind,fact [12] leftists,scare [7] destroyed,global [7] venus,planet [7] people,much [7] planet,love Top Word Pairs in Tweet in G5:
[78] global,warming [19] scientists,global [19] james,delingpole [19] another,read [19] delingpole,scientists [19] warming,sums [19] sums,wrong [19] worth,another [19] read,james [19] created,1trillion Top Word Pairs in Tweet in G6:
[193] global,warming [165] the_trump_train,think [163] unlawful,rules [162] think,democrats [162] impose,unlawful [162] using,global [162] democrats,using [162] warming,impose [162] rules,control [161] control,population Top Word Pairs in Tweet in G7:
[162] global,warming [90] amuse,global [87] warming,california [19] climate,change [15] result,global [14] washingtonpost,confirms [14] doubt,washingtonpost [14] california,result [14] confirms,blizzards [14] blizzards,california Top Word Pairs in Tweet in G8:
[181] global,warming [107] climate,scientists [103] 12,feet [103] scientists,attribute [103] warming,california [103] getting,12 [103] california,getting [103] snow,climate [103] feet,snow [103] onion,wapo Top Word Pairs in Tweet in G9:
[161] global,warming [23] language,universal [23] coincidences,language [23] globally,co [23] universal,build [23] covid,climate [23] thecoastguy,covid [23] co,ordinated [23] climate,scams [23] scams,globally Top Word Pairs in Tweet in G10:
[48] global,warming [24] tax,carbon [24] living,scarcity [24] scam,tax [24] used,living [24] warming,scam [24] carbon,emissions [24] emissions,used [19] think,democrats [19] impose,unlawful Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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 G1:
Top Mentioned in G2:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: