The graph represents a network of 2,323 Twitter users whose recent tweets contained "tarsands", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 1/1/2023 12:00:00 AM and 1/23/2024 9:45:04 AM. The network was obtained from Twitter on Tuesday, 23 January 2024 at 18:17 UTC.
The tweets in the network were tweeted over the 4408-day, 11-hour, 26-minute period from Thursday, 29 December 2011 at 05:23 UTC to Tuesday, 23 January 2024 at 16:50 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 : 2323
Unique Edges : 2477
Edges With Duplicates : 2819
Total Edges : 5296
Number of Edge Types : 9
Replies to : 1048
Mentions : 1000
MentionsInReplyTo : 1277
Quote : 510
Tweet : 491
Retweet : 28
MentionsInQuote : 912
MentionsInRetweet : 13
MentionsInQuoteReply : 17
Self-Loops : 621
Reciprocated Vertex Pair Ratio : 0.00648607401755055
Reciprocated Edge Ratio : 0.0128885519332828
Connected Components : 233
Single-Vertex Connected Components : 89
Maximum Vertices in a Connected Component : 1762
Maximum Edges in a Connected Component : 4821
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.840042
Graph Density : 0.000489061376646596
Modularity : 0.420337
NodeXL Version : 1.0.1.528
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=294376
Data Import : The graph represents a network of 2,323 Twitter users whose recent tweets contained "tarsands", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 1/1/2023 12:00:00 AM and 1/23/2024 9:45:04 AM. The network was obtained from Twitter on Tuesday, 23 January 2024 at 18:17 UTC.
The tweets in the network were tweeted over the 4408-day, 11-hour, 26-minute period from Thursday, 29 December 2011 at 05:23 UTC to Tuesday, 23 January 2024 at 16:50 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 : TwitterSearch3
Graph Term : tarsands
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[469] #tarsands,pipeline [246] tmx,#tarsands [90] oil,gas [71] trans,mountain [68] wasting,31b [65] more,#globalwarming [58] burned,causing [58] tarsands,oil [56] causing,more [49] abroad,burned Top Word Pairs in Tweet in G1:
[460] #tarsands,pipeline [246] tmx,#tarsands [68] wasting,31b [65] more,#globalwarming [59] trans,mountain [58] burned,causing [56] causing,more [49] abroad,burned [42] pipeline,ship [41] building,#tarsands Top Word Pairs in Tweet in G2:
[25] #ableg,#cdnpoli [25] #tarsands,#ableg [22] #cdnpoli,#tarsands [20] #tarsands,#cdnpoli [19] oil,gas [18] #cdnpoli,#ableg [18] indigenous,communities [18] tar,sands [18] 000,000 [16] oil,sands Top Word Pairs in Tweet in G3:
[9] tarsands,oil [8] oil,gas [7] fossil,fuel [7] trans,mountain [6] quebec,tarsands [6] canada,world's [6] world's,number [6] one,exporter [6] exporter,oil [6] climate,change Top Word Pairs in Tweet in G4:
[7] oil,gas [6] alberta,tarsands [6] shut,down [5] 000,000 [4] down,tarsands [3] oil,companies [3] tarsands,oil [3] carbon,tax [3] natural,gas [2] export,tarsands Top Word Pairs in Tweet in G5:
[9] tar,sands [5] oil,gas [5] #tarsands,#oilsands [5] first,nations [4] nations,group [4] clean,tarsands [3] defend,great [3] push,back [3] #ableg,#abpoli [3] suncor,plan Top Word Pairs in Tweet in G6:
[9] tailings,ponds [5] #tarsands,tailings [4] tarsands,tailings [3] #oilsands,#tarsands [3] arctic,watershed [3] oil,sands [2] capture,technology [2] climate,deniers [2] ponds,soon [2] lie,cleaner Top Word Pairs in Tweet in G7:
[4] chipewyan,mikisew [4] chief,allan [4] adam,fort [4] fort,chipewyan [4] allan,adam [4] mikisew,cree [3] help,chief [3] #albertafire,#globalwarming [3] #globalwarming,charlieangusndp [3] please,help Top Word Pairs in Tweet in G8:
[8] oil,gas [5] gas,industry [4] tarsands,mining [4] oil,extraction [4] form,oil [3] need,urgent [3] #alberta,home [3] tarsands,muck [3] radical,#climateactionnow [3] tarsands,dirtiest Top Word Pairs in Tweet in G9:
[12] tarsands,pipelines [9] great,lakes [7] highest,capita [7] mississippi,river [7] gas,emissions [7] capita,greenhouse [7] greenhouse,gas [7] boycott,canada [7] enbridge,tarsands [6] canadian,tarsands Top Word Pairs in Tweet in G10:
[4] tailings,ponds [3] tarsands,oil [3] dirty,tarsands [3] tarsands,bitumen [3] oil,gas [2] time,stop [2] robertjasmer,benbankas [2] tailing,ponds [2] wind,solar [2] sell,coal Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G9:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G9:
Top Tweeters in G10: