The graph represents a network of 4,218 Twitter users whose recent tweets contained "kaggle", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/4/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 05 February 2023 at 05:22 UTC.
The tweets in the network were tweeted over the 1435-day, 8-hour, 25-minute period from Saturday, 02 March 2019 at 16:23 UTC to Sunday, 05 February 2023 at 00:49 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 : 4218
Unique Edges : 1158
Edges With Duplicates : 8916
Total Edges : 10074
Number of Edge Types : 9
Tweet : 1011
Replies to : 652
MentionsInReplyTo : 718
Retweet : 3524
MentionsInRetweet : 3784
Mentions : 308
Quote : 45
MentionsInQuote : 26
MentionsInQuoteReply : 6
Self-Loops : 1364
Reciprocated Vertex Pair Ratio : 0.028378692719237
Reciprocated Edge Ratio : 0.0551911332277765
Connected Components : 626
Single-Vertex Connected Components : 437
Maximum Vertices in a Connected Component : 3216
Maximum Edges in a Connected Component : 8291
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.540426
Graph Density : 0.000248548037572413
Modularity : 0.417314
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,218 Twitter users whose recent tweets contained "kaggle", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/4/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 05 February 2023 at 05:22 UTC.
The tweets in the network were tweeted over the 1435-day, 8-hour, 25-minute period from Saturday, 02 March 2019 at 16:23 UTC to Sunday, 05 February 2023 at 00:49 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 : TwitterSearch2
Graph Term : kaggle
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:
[1200] machine,learning [698] project,ideas [564] learn,python [563] class,kaggle [563] python,class [563] google's,python [558] websites,learn [552] free,google's [552] top,websites [552] python,free Top Word Pairs in Tweet in G1:
[501] learn,python [500] top,websites [500] websites,learn [500] class,kaggle [500] python,free [500] python,class [500] google's,python [500] free,google's [499] damn_coder,top [3] kaggle,such Top Word Pairs in Tweet in G2:
[448] machine,learning [316] data,science [315] science,machine [315] learning,aspirants [315] gold,data [315] absolute,gold [315] aspirants,practitioners [315] practitioners,go [315] repository,absolute [314] sumanth_077,repository Top Word Pairs in Tweet in G3:
[451] analyze,visualize [444] data,analytics [444] analytics,project [444] analyst,thread [444] help,build [444] build,portfolio [444] ideas,help [444] data,analyst [444] portfolio,data [444] project,ideas Top Word Pairs in Tweet in G4:
[73] kaggleに挑む深層学習プログラミングの極意,ks情報科学専門書 [46] machine,learning [36] ks情報科学専門書,小嵜耕平 [24] 小嵜,耕平 [21] 小嵜耕平,秋葉拓哉 [20] 秋葉拓哉,林孝紀 [20] data,science [20] 林孝紀,石原祥太郎 [19] course,kaggle [19] kaggle,grandmasters Top Word Pairs in Tweet in G5:
[46] #nasa,turbofan [46] conduct,predictive [46] using,#nasa [46] predictive,maintenance [46] #griddb,using [46] kaggle,dataset [46] turbofan,kaggle [46] learn,conduct [46] maintenance,#griddb [44] griddbcommunity,learn Top Word Pairs in Tweet in G6:
[251] machine,learning [239] datasets,next [228] analysis,machine [228] data,analysis [227] learning,nlp [227] next,data [227] 22,places [227] places,free [227] google,dataset [227] nlp,project Top Word Pairs in Tweet in G7:
[49] 書籍,kaggleに挑む深層学習プログラミングの極意 [48] 明日発売です,簡単な紹介記事を書いたのでよければご覧ください [48] kaggleに挑む深層学習プログラミングの極意,明日発売です [47] iwiwi,書籍 [32] upura0,kaggleに挑む深層学習プログラミングの極意 [28] kaggleに挑む深層学習プログラミングの極意,講談社 [25] 講談社,が届きました [25] 31,日発売です [25] 自然言語処理の機械学習コンテストを題材として,深層学習ライブラリ [25] 月,31 Top Word Pairs in Tweet in G8:
[181] project,ideas [174] dataset,credit [173] credit,score [172] algorithmic,trading [172] trading,dataset [172] #datascience,project [172] #finance,algorithmic [172] ideas,#finance [171] kirkdborne,#datascience [171] score,classifi Top Word Pairs in Tweet in G9:
[240] music,text [118] high,fidelity [118] generating,music [118] text,presents [118] generating,high [118] text,musiclm [118] presents,musiclm [118] model,generating [118] musiclm,model [118] musiclm,generating Top Word Pairs in Tweet in G10:
[110] python,kaggle's [110] one,best [110] pandas,tutorial [110] data,python [110] introductions,dealing [110] tutorial,create [110] dealing,structured [110] kaggle's,pandas [110] structured,data [110] create,read Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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:
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: