The graph represents a network of 9,697 Twitter users whose tweets in the requested range contained "global warming", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 12 September 2022 at 06:10 UTC.
The requested start date was Monday, 12 September 2022 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 3-day, 4-hour, 4-minute period from Thursday, 08 September 2022 at 18:51 UTC to Sunday, 11 September 2022 at 22:55 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 : 9697
Unique Edges : 6265
Edges With Duplicates : 10080
Total Edges : 16345
Number of Edge Types : 5
Replies to : 1760
Retweet : 4402
MentionsInRetweet : 5460
Tweet : 1601
Mentions : 3122
Self-Loops : 1683
Reciprocated Vertex Pair Ratio : 0.0105582270541501
Reciprocated Edge Ratio : 0.0208958311782352
Connected Components : 2087
Single-Vertex Connected Components : 817
Maximum Vertices in a Connected Component : 3694
Maximum Edges in a Connected Component : 8538
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.348492
Graph Density : 0.000102816239652221
Modularity : 0.608486
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 9,697 Twitter users whose tweets in the requested range contained "global warming", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 12 September 2022 at 06:10 UTC.
The requested start date was Monday, 12 September 2022 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 3-day, 4-hour, 4-minute period from Thursday, 08 September 2022 at 18:51 UTC to Sunday, 11 September 2022 at 22:55 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 : 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:
[6231] global,warming [719] tipping,points [545] climate,change [468] climate,tipping [260] warming,trigger [243] warming,set [241] failure,slow [241] slow,warming [238] set,climate [235] points,scientists Top Word Pairs in Tweet in G1:
[934] global,warming [125] tipping,points [108] climate,tipping [72] climate,change [56] warming,set [55] failure,slow [55] slow,warming [53] set,climate [52] multiple,climate [51] points,scientists Top Word Pairs in Tweet in G2:
[435] global,warming [215] celebrities,politicians [215] politicians,fly [215] fly,around [215] around,world [215] world,private [215] private,jets [215] jets,lecturing [215] lecturing,global [215] warming,spend Top Word Pairs in Tweet in G3:
[68] global,warming [20] climate,change [14] anthropogenic,global [14] change,fact [10] gzzyzyx,akaelwopo1 [10] catastrophic,anthropogenic [10] warming,massive [10] massive,scientific [10] scientific,fraud [10] fraud,human Top Word Pairs in Tweet in G4:
[229] global,warming [163] 10,year [161] coral,reef [161] reef,global [161] warming,scare [161] scare,suffered [161] suffered,mortal [161] mortal,blow [161] blow,10 [161] year,study Top Word Pairs in Tweet in G5:
[180] tipping,points [173] climate,tipping [144] failure,slow [144] slow,warming [144] warming,set [144] set,climate [144] points,scientists [138] jrockstrom,failure [50] global,warming [36] maintain,liveable Top Word Pairs in Tweet in G6:
[138] global,warming [75] tipping,points [72] climate,tipping [71] net,zero [71] zero,pledges [71] pledges,met [71] met,extremely [71] extremely,unlikely [71] unlikely,world [71] world,heading Top Word Pairs in Tweet in G7:
[252] global,warming [117] warming,trigger [116] tipping,points [113] climate,#tippingpoints [112] exceeding,global [108] #tippingpoints,sciencemagazine [107] ve,paper [107] paper,climate [107] sciencemagazine,exceeding [106] dvdmckay,ve Top Word Pairs in Tweet in G8:
[75] global,warming [32] country,deserves [32] deserves,fate [32] fate,particularly [32] particularly,countries [32] countries,pakistan [32] pakistan,done [32] done,nothing [31] nothing,contribute [28] uninpak,country Top Word Pairs in Tweet in G9:
[170] global,warming [168] 100,billion [131] plan,reduce [131] reduce,global [131] warming,hand [131] hand,100 [131] billion,money [131] money,fossil [131] fossil,fuel [131] fuel,industry Top Word Pairs in Tweet in G10:
[139] cristiano,ronaldo [139] ronaldo,breathes [139] breathes,media [139] media,cristiano [139] cristiano,ronaldo's [139] ronaldo's,carbon [139] carbon,dioxide [139] dioxide,emissions [139] emissions,contributing [138] contributing,global Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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