The graph represents a network of 9,725 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, 06 June 2022 at 06:12 UTC.
The requested start date was Monday, 06 June 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 4-day, 7-hour, 22-minute period from Wednesday, 01 June 2022 at 15:33 UTC to Sunday, 05 June 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 : 9725
Unique Edges : 5719
Edges With Duplicates : 10522
Total Edges : 16241
Number of Edge Types : 5
Retweet : 4572
MentionsInRetweet : 5311
Tweet : 1685
Mentions : 3172
Replies to : 1501
Self-Loops : 1745
Reciprocated Vertex Pair Ratio : 0.0099236641221374
Reciprocated Edge Ratio : 0.0196523053665911
Connected Components : 2157
Single-Vertex Connected Components : 869
Maximum Vertices in a Connected Component : 4455
Maximum Edges in a Connected Component : 9872
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.659466
Graph Density : 9.7931706883771E-05
Modularity : 0.585011
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,725 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, 06 June 2022 at 06:12 UTC.
The requested start date was Monday, 06 June 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 4-day, 7-hour, 22-minute period from Wednesday, 01 June 2022 at 15:33 UTC to Sunday, 05 June 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:
[6243] global,warming [1090] years,ago [1070] 20,years [1048] ago,month [1048] dead,global [1047] gore,20 [1047] month,dead [1047] warming,everybody [1047] everybody,doing [1029] pamelahensley22,gore Top Word Pairs in Tweet in G1:
[1040] global,warming [1005] 20,years [1005] years,ago [1004] gore,20 [1004] ago,month [1004] month,dead [1004] dead,global [1004] warming,everybody [1004] everybody,doing [1003] pamelahensley22,gore Top Word Pairs in Tweet in G2:
[903] global,warming [76] climate,change [41] ãƒ,ム[30] people,much [26] destroyed,global [24] planet,love [23] venus,planet [23] love,destroyed [22] threatened,global [21] stop,global Top Word Pairs in Tweet in G3:
[434] carbon,dioxide [399] global,warming [190] cabin,level [190] level,carbon [190] dioxide,routine [190] routine,flight [190] flight,america [190] america,1777ppm [190] 1777ppm,usually [190] usually,norm Top Word Pairs in Tweet in G4:
[90] global,warming [22] major,city [22] city,becomes [22] becomes,atlantis [22] sea,levels [21] geraldkutney,major [21] admit,global [21] climate,change [20] atlantis,rising [20] rising,sea Top Word Pairs in Tweet in G5:
[114] global,warming [33] carbon,emissions [32] warming,deleting [32] deleting,artic [32] artic,glaciers [32] glaciers,please [32] please,contribute [32] contribute,saving [32] saving,artic [32] artic,reducing Top Word Pairs in Tweet in G6:
[133] global,warming [19] claiming,help [19] help,global [18] elonmusk,actbrigitte [17] actbrigitte,gates [17] gates,still [17] still,multi [17] multi,billion [17] billion,dollar [17] dollar,short Top Word Pairs in Tweet in G7:
[84] global,warming [48] fraction,degree [48] degree,global [48] warming,matters [48] matters,day [48] day,matters [48] matters,#climateaction [48] #climateaction,matters [47] antonioguterres,fraction [12] water,shortage Top Word Pairs in Tweet in G8:
[110] global,warming [68] weâ,re [34] re,past [34] past,tipping [34] tipping,point [34] point,glaciers [34] glaciers,canadian [34] canadian,rockies [34] rockies,weâ [34] re,stop Top Word Pairs in Tweet in G9:
[152] global,warming [141] more,fossil [141] fossil,fuel [141] fuel,more [141] more,global [141] warming,more [141] more,short [141] short,term [141] term,stupidism [141] stupidism,kill Top Word Pairs in Tweet in G10:
[55] global,warming [7] climate,change [4] cayoa5,rebelnews_usa [4] rebelnews_usa,rebelnewsonline [4] speeding,global [3] rebelnewsonline,vo [3] vo,ewe [3] senatorhagerty,senategop [3] nicodemouthomas,potus [3] damn,global Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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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:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: