The graph represents a network of 5,485 Twitter users whose tweets in the requested range contained "gates (climate OR divest OR keepitintheground OR oil OR gas OR environment OR green)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 02 November 2020 at 02:44 UTC.
The requested start date was Monday, 02 November 2020 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 13-day, 13-hour, 22-minute period from Monday, 19 October 2020 at 01:07 UTC to Sunday, 01 November 2020 at 14:29 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 : 5485
Unique Edges : 2442
Edges With Duplicates : 6926
Total Edges : 9368
Number of Edge Types : 5
Replies to : 522
Mentions : 1131
Retweet : 3303
MentionsInRetweet : 3630
Tweet : 782
Self-Loops : 818
Reciprocated Vertex Pair Ratio : 0.007641065830721
Reciprocated Edge Ratio : 0.0151662453820727
Connected Components : 977
Single-Vertex Connected Components : 472
Maximum Vertices in a Connected Component : 2725
Maximum Edges in a Connected Component : 5502
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 5.622135
Graph Density : 0.000170978871492905
Modularity : 0.5627
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 5,485 Twitter users whose tweets in the requested range contained "gates (climate OR divest OR keepitintheground OR oil OR gas OR environment OR green)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 02 November 2020 at 02:44 UTC.
The requested start date was Monday, 02 November 2020 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 13-day, 13-hour, 22-minute period from Monday, 19 October 2020 at 01:07 UTC to Sunday, 01 November 2020 at 14:29 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 : gates (climate OR divest OR keepitintheground OR oil OR gas OR environment OR green)
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:
[2520] bill,gates [1681] climate,change [937] down',economy [936] 'shutting,down' [924] gates,'shutting [827] stop,climate [792] near,sufficient' [790] 'nowhere,near [781] economy,'nowhere [779] sufficient',stop Top Word Pairs in Tweet in G1:
[748] climate,change [740] bill,gates [713] jsolomonreports,bill [700] stop,climate [697] gates,'shutting [697] 'shutting,down' [697] down',economy [694] economy,'nowhere [694] 'nowhere,near [694] near,sufficient' Top Word Pairs in Tweet in G2:
[517] bill,gates [504] gates,recently [504] recently,bought [504] bought,43 [504] 43,million [504] million,mansion [504] mansion,ocean [504] ocean,guess [504] guess,worried [504] worried,rising Top Word Pairs in Tweet in G3:
[235] bill,gates [159] climate,change [38] down',economy [37] 'shutting,down' [36] gates,'shutting [26] economy,nearly [26] nearly,enough [26] enough,stem [26] stem,climate [26] change,need Top Word Pairs in Tweet in G4:
[82] climate,change [72] bill,gates [53] stop,climate [51] down',economy [50] 'shutting,down' [50] near,sufficient' [49] 'nowhere,near [39] gates,'shutting [38] economy,'nowhere [38] sufficient',stop Top Word Pairs in Tweet in G5:
[166] climate,change [164] enough,climate [164] change,lets [164] lets,talk [164] talk,bob [164] bob,gates [164] gates,wrong [164] wrong,foreign [164] foreign,policy [164] policy,decision Top Word Pairs in Tweet in G6:
[142] bill,gates [139] climate,change [132] gates,shutting [132] shutting,down [132] down,economy [132] economy,nearly [132] nearly,enough [132] enough,stem [132] stem,climate [132] change,need Top Word Pairs in Tweet in G7:
[126] bill,gates [123] climate,change [119] gates,'shutting [119] 'shutting,down' [119] down',economy [117] economy,nearly [117] nearly,enough [117] enough,stem [117] stem,climate [117] change,need Top Word Pairs in Tweet in G8:
[105] taking,territories [105] territories,back [105] back,lepers [105] lepers,walked [105] walked,gates [105] gates,assyrians [105] assyrians,step [105] step,take [104] kolaoyeneyin,taking Top Word Pairs in Tweet in G9:
[75] bill,gates [68] gates,agra [68] agra,failures [68] failures,self [68] self,reflection [68] reflection,continue [68] continue,blow [67] gmofreeusa,bill [13] henrymakow,gates [13] gates,envisions Top Word Pairs in Tweet in G10:
[26] #covid,gates [26] gates,#2020 [26] #2020,bonfire [26] bonfire,vanities [26] vanities,crowd [26] crowd,gotten [26] gotten,insane [26] insane,global [25] natureboyrr,#covid [25] global,destruc Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
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:
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Top Tweeters in G9:
Top Tweeters in G10: