The graph represents a network of 2,656 Twitter users whose recent tweets contained ""true crime" podcast", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 01 April 2022 at 12:10 UTC.
The tweets in the network were tweeted over the 8-day, 2-hour, 21-minute period from Thursday, 24 March 2022 at 09:03 UTC to Friday, 01 April 2022 at 11:25 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 : 2656
Unique Edges : 3105
Edges With Duplicates : 442
Total Edges : 3547
Number of Edge Types : 5
Retweet : 1013
Tweet : 744
MentionsInRetweet : 660
Replies to : 456
Mentions : 674
Self-Loops : 760
Reciprocated Vertex Pair Ratio : 0.0338241146040589
Reciprocated Edge Ratio : 0.0654349499615089
Connected Components : 868
Single-Vertex Connected Components : 465
Maximum Vertices in a Connected Component : 718
Maximum Edges in a Connected Component : 1342
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 7.590301
Graph Density : 0.000368422843918045
Modularity : 0.762348
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,656 Twitter users whose recent tweets contained ""true crime" podcast", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Friday, 01 April 2022 at 12:10 UTC.
The tweets in the network were tweeted over the 8-day, 2-hour, 21-minute period from Thursday, 24 March 2022 at 09:03 UTC to Friday, 01 April 2022 at 11:25 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 : TwitterSearch
Graph Term : "true crime" podcast
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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2276] true,crime [1356] crime,podcast [144] listening,podcast [144] sheds,light [139] podcast,doc [139] music,true [138] doc,vice [138] vice,music [138] podcast,sheds [138] light,seemingly Top Word Pairs in Tweet in G1:
[537] true,crime [324] crime,podcast [72] de,true [67] podcast,de [46] listening,true [40] listener,tales [36] podcast,episode [28] listen,true [27] morbid,true [22] ouvindo,podcast Top Word Pairs in Tweet in G2:
[152] true,crime [104] crime,podcast [43] episode,true [43] podcast,#otcp [43] #otcp,#seemedlikeaperfectfamily [43] #seemedlikeaperfectfamily,#nothingisperfect [43] #nothingisperfect,#weallhavesecrets [43] #weallhavesecrets,#thiswastoomuchforhim [43] #thiswastoomuchforhim,#hehadamentalbreak [43] #hehadamentalbreak,#ordidhe Top Word Pairs in Tweet in G3:
[141] true,crime [140] crime,podcast [138] listening,podcast [138] podcast,doc [138] doc,vice [138] vice,music [138] music,true [138] podcast,sheds [138] sheds,light [138] light,seemingly Top Word Pairs in Tweet in G4:
[162] true,crime [147] crime,podcast [64] join,true [64] podcast,examine [64] examine,safety [64] safety,code [64] code,violations [43] difference,crime [43] crime,true [43] podcast,subscribers Top Word Pairs in Tweet in G5:
[81] true,crime [44] crime,podcast [25] #truecrime,#truecrimepodcast [21] mindshock,true [21] podcast,youtube [18] double,trouble [16] #truecrimepodcast,#unsolved [15] το,νέο [15] του,true [15] crime,αλα Top Word Pairs in Tweet in G6:
[61] true,crime [34] crime,podcast [19] chronological,true [14] crime,history [13] podcast,cover [13] cover,case [13] 1800,recorded [13] recorded,murder [13] murder,trial [8] history,podcast Top Word Pairs in Tweet in G7:
[14] true,crime [6] real,life [5] loads,interesting [5] interesting,real [5] life,tales [5] tales,past [5] past,including [5] including,true [5] crime,show [5] show,available Top Word Pairs in Tweet in G8:
[59] true,crime [38] crime,family [38] family,brutally [38] brutally,attacked [38] attacked,child [38] child,pressured [38] pressured,false [38] false,identification [38] identification,man [38] man,prison Top Word Pairs in Tweet in G9:
[46] true,crime [42] podcast,twists [42] twists,hope [42] hope,enjoy [42] enjoy,listening [42] listening,recording [42] recording,bh [42] bh,fam [42] fam,true [42] crime,lovers Top Word Pairs in Tweet in G10:
[9] #truecrime,#podcast [7] evidence,locker [7] locker,episode [6] true,crime [5] episode,acid [5] acid,killer [5] killer,torture [5] torture,chamber [5] chamber,lutz [5] lutz,reinstrom Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
Top Mentioned in G3:
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:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: