The graph represents a network of 8,970 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, 13 December 2021 at 06:56 UTC.
The requested start date was Monday, 13 December 2021 at 01:01 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 2-day, 3-hour, 36-minute period from Friday, 10 December 2021 at 19:18 UTC to Sunday, 12 December 2021 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 : 8970
Unique Edges : 5029
Edges With Duplicates : 10406
Total Edges : 15435
Number of Edge Types : 5
Replies to : 1536
Tweet : 1577
Mentions : 2337
Retweet : 4714
MentionsInRetweet : 5271
Self-Loops : 1707
Reciprocated Vertex Pair Ratio : 0.0119588615163836
Reciprocated Edge Ratio : 0.0236350744504845
Connected Components : 1977
Single-Vertex Connected Components : 812
Maximum Vertices in a Connected Component : 3961
Maximum Edges in a Connected Component : 8445
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.750208
Graph Density : 0.000105180820397969
Modularity : 0.568424
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,970 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, 13 December 2021 at 06:56 UTC.
The requested start date was Monday, 13 December 2021 at 01:01 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 2-day, 3-hour, 36-minute period from Friday, 10 December 2021 at 19:18 UTC to Sunday, 12 December 2021 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:
[6791] global,warming [1472] climate,change [989] called,global [971] warming,gets [971] called,climate [966] gets,warmer [966] warmer,called [966] gets,colder [966] colder,called [965] petersweden7,gets Top Word Pairs in Tweet in G1:
[962] global,warming [943] climate,change [940] called,climate [939] gets,warmer [939] warmer,called [939] called,global [939] warming,gets [939] gets,colder [939] colder,called [938] petersweden7,gets Top Word Pairs in Tweet in G2:
[900] global,warming [70] climate,change [25] warming,climate [25] destroyed,global [24] planet,love [24] love,destroyed [22] venus,planet [20] believe,global [20] people,much [19] pollution,global Top Word Pairs in Tweet in G3:
[236] global,warming [136] #globalwarming,#climatechange [129] #climatechange,#nytimes [115] #nytimes,#guardian [112] #guardian,#wsj [110] gain,global [110] warming,#globalwarming [76] #wsj,#bloomberg [76] #bloomberg,#cnn [76] #cnn,#cnbc Top Word Pairs in Tweet in G4:
[288] global,warming [183] temperature,variation [183] variation,planet [183] planet,1880 [183] 1880,2020 [183] 2020,acceleration [183] acceleration,global [183] warming,21st [183] 21st,century [182] _dmoser,temperature Top Word Pairs in Tweet in G5:
[181] global,warming [22] secmayorkas,fema_deanne [21] leadermcconnell,potus [20] potus,govandybeshear [20] govandybeshear,secmayorkas [17] oil,gas [15] warming,costs [13] climate,change [13] american,lives [12] bill,oil Top Word Pairs in Tweet in G6:
[202] global,warming [185] related,global [184] scientist,part [184] part,country [184] country,way [184] way,related [184] warming,disasters [184] disasters,fact [183] andrewcfollett,scientist [4] many,washington Top Word Pairs in Tweet in G7:
[194] global,warming [187] tired,pretending [187] pretending,don [187] don,know [187] know,happening [187] happening,environmentalists [187] environmentalists,don [187] don,problem [187] problem,global [186] micsolana,tired Top Word Pairs in Tweet in G8:
[57] six,years [57] years,ago [57] ago,world [57] world,leaders [57] leaders,agreed [57] agreed,paris [57] paris,agreement [57] agreement,making [57] making,promise [57] promise,tackle Top Word Pairs in Tweet in G9:
[163] global,warming [49] biden,kentucky [49] kentucky,tornado [49] tornado,result [49] result,global [37] don,need [37] need,invoke [37] invoke,global [37] warming,explain [37] explain,tornadoes Top Word Pairs in Tweet in G10:
[134] global,warming [129] convince,people [129] people,global [128] many,freak [128] freak,storms [128] storms,take [128] take,convince [128] warming,energy [128] energy,corporations [128] corporations,don Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: