The graph represents a network of 4,474 Twitter users whose tweets in the requested range contained "kaggle", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 18 December 2022 at 05:23 UTC.
The requested start date was Sunday, 18 December 2022 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 12-day, 18-hour, 2-minute period from Sunday, 04 December 2022 at 01:01 UTC to Friday, 16 December 2022 at 19:03 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 : 4474
Unique Edges : 2535
Edges With Duplicates : 8812
Total Edges : 11347
Number of Edge Types : 5
Tweet : 1207
Replies to : 480
Retweet : 3872
MentionsInRetweet : 5059
Mentions : 729
Self-Loops : 1251
Reciprocated Vertex Pair Ratio : 0.015138333043327
Reciprocated Edge Ratio : 0.0298251628385327
Connected Components : 603
Single-Vertex Connected Components : 413
Maximum Vertices in a Connected Component : 3455
Maximum Edges in a Connected Component : 9952
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.339957
Graph Density : 0.000291522142340958
Modularity : 0.463225
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,474 Twitter users whose tweets in the requested range contained "kaggle", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 18 December 2022 at 05:23 UTC.
The requested start date was Sunday, 18 December 2022 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 12-day, 18-hour, 2-minute period from Sunday, 04 December 2022 at 01:01 UTC to Friday, 16 December 2022 at 19:03 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 : 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:
[1733] mode,sql [1731] datalemur,sql [1730] exercises,until [1730] master,mode [1730] favorite,websites [1730] until,master [1730] coding,exercises [1730] 10,favorite [1305] ãƒ,ム[890] drill,coding Top Word Pairs in Tweet in G1:
[769] mode,sql [769] exercises,until [769] 10,favorite [769] master,mode [769] until,master [769] favorite,websites [769] coding,exercises [769] datalemur,sql [763] websites,drill [763] pandas,datalemur Top Word Pairs in Tweet in G2:
[827] until,master [827] favorite,websites [827] 10,favorite [827] datalemur,sql [827] mode,sql [827] exercises,until [827] coding,exercises [827] master,mode [767] websites,practice [767] sql,datalemur Top Word Pairs in Tweet in G3:
[58] problem,book [58] #featureengineering,practice [58] practice,approaching [58] #machinelearning,problem [58] approaching,#machinelearning [56] kirkdborne,#featureengineering [55] kaggle,dataset [51] kaggle,book [48] using,#nasa [48] #nasa,turbofan Top Word Pairs in Tweet in G4:
[525] ãƒ,ム[75] ãƒ,ペã [69] さん,flowlight_ [69] nlpのコンテストを題材として実装を交えながらノウハウを紹介しています,来年2月2日出版予定です [69] upura0,さんと書きました [69] flowlight_,さん [69] さん,upura0 [69] の画像,nlp本を [69] 画像,nlpのコンテストを題材として実装を交えながらノウハウを紹介しています [69] kaggle,の画像 Top Word Pairs in Tweet in G5:
[251] ãƒ,ム[40] 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 [30] æ,æ [28] machine,learning [24] 小嵜,耕平 [24] data,science [23] æ,ç [23] course,kaggle [21] ks情報科学専門書,小嵜 [20] ãƒ,µã Top Word Pairs in Tweet in G6:
[159] data,science [139] dataset,kaggle [138] kaggle,debug [138] quick,resources [138] science,quick [138] projects,dataquestio [138] resources,courses [138] datacamp,projects [138] courses,coursera [138] dataquestio,dataset Top Word Pairs in Tweet in G7:
[163] data,science [161] machine,learning [160] best,platform [160] learning,data [160] _jaydeepkarale,kaggle [160] kaggle,best [159] use,platform [159] platform,correctly [159] science,few [159] few,use Top Word Pairs in Tweet in G8:
[105] neural,network [104] #iiot,#pytorch [104] #python,#rstats [104] #pytorch,#python [104] #ai,#machinelearning [104] #iot,#iiot [104] #analytics,#datascience [104] #machinelearning,#iot [104] network,#bigdata [104] #bigdata,#analytics Top Word Pairs in Tweet in G9:
[110] machine,learning [106] years,š [106] popular,recent [106] become,very [106] algorithm,become [106] learning,algorithm [106] powerful,machine [106] š,kaggle [106] xgboost,powerful [106] recent,years Top Replied-To in Entire Graph:
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