The graph represents a network of 3,313 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, 28 August 2022 at 04:22 UTC.
The requested start date was Sunday, 28 August 2022 at 00:01 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, 23-hour, 49-minute period from Sunday, 14 August 2022 at 00:10 UTC to Sunday, 28 August 2022 at 00:00 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 : 3313
Unique Edges : 1887
Edges With Duplicates : 7033
Total Edges : 8920
Number of Edge Types : 5
Tweet : 1535
Retweet : 2677
MentionsInRetweet : 3196
Replies to : 628
Mentions : 884
Self-Loops : 1586
Reciprocated Vertex Pair Ratio : 0.0281613864067154
Reciprocated Edge Ratio : 0.0547800895443771
Connected Components : 583
Single-Vertex Connected Components : 404
Maximum Vertices in a Connected Component : 2409
Maximum Edges in a Connected Component : 7801
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.111256
Graph Density : 0.000346042015716158
Modularity : 0.405031
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 3,313 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, 28 August 2022 at 04:22 UTC.
The requested start date was Sunday, 28 August 2022 at 00:01 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, 23-hour, 49-minute period from Sunday, 14 August 2022 at 00:10 UTC to Sunday, 28 August 2022 at 00:00 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:
[1399] machine,learning [1193] data,science [555] learning,data [549] kaggle,machine [542] learning,mastery [540] science,kaggle [536] websites,come [536] come,handy [536] handy,machine [532] sumanth_077,websites Top Word Pairs in Tweet in G1:
[1176] machine,learning [1009] data,science [518] websites,come [518] come,handy [518] handy,machine [518] learning,data [518] science,kaggle [518] kaggle,machine [518] learning,mastery [517] sumanth_077,websites Top Word Pairs in Tweet in G2:
[91] #datascience,#100daysofmlcode [91] #100daysofmlcode,#python [91] #python,#pytorch [91] #pytorch,#tensorflow [90] #machinelearning,#deeplearning [90] #deeplearning,#datascience [81] machine,learning [64] data,science [62] data,analysis [53] kaggle,competition Top Word Pairs in Tweet in G3:
[41] machine,learning [31] course,kaggle [27] data,science [15] started,kaggle [14] kaggleのgrandmasterが4人も,優秀な人材が集まる謎の企業 [14] 優秀な人材が集まる謎の企業,rist [14] let's,started [14] kaggle,#kaggle [14] #kaggle,#かぐるーど [13] rist,って Top Word Pairs in Tweet in G4:
[10] python,kaggleコンペ [9] feedback,prize [9] kaggle,amex [9] yolov7でのプレーヤーとボールの検出を試したのでノートを公開しました,soccernetでfinetuneしたモデルとfinetuneなしでそれぞれ試したけど [9] soccernetでfinetuneしたモデルとfinetuneなしでそれぞれ試したけど,finetuneなしでも高解像度なら小さいボールもいける [8] kaggleで大きいデータセット扱っているとメモリエラーになることがよくあるので,凄く便利なスニペット [8] 凄く便利なスニペット,助かります [8] 助かります,jupyter [8] jupyter,ipython [8] ipython,上でメモリ食っている変数を探し出して削除する Top Word Pairs in Tweet in G5:
[42] marktenenholtz,kaggle [42] world,problems [41] kaggle,reputation [41] reputation,being [41] being,fun [41] fun,impractical [41] impractical,world [41] problems,contrary [41] contrary,popular [41] popular,belief Top Word Pairs in Tweet in G6:
[110] single,cell [109] cell,analysis [106] competition,#neurips2022 [105] ready,set [105] set,code [105] code,open [105] open,problems [105] problems,single [105] analysis,competition [105] #neurips2022,open Top Word Pairs in Tweet in G7:
[61] power,bi [60] first,dashboard [60] dashboard,created [60] created,using [60] using,power [60] bi,dataset [60] dataset,gotten [60] gotten,kaggle [60] kaggle,analysed [60] analysed,using Top Word Pairs in Tweet in G8:
[22] single,cell [19] #kaggle,competition [19] open,problems [19] problems,multimodal [19] multimodal,single [19] lauched,medal [18] kernel,false [18] false,data [17] kagoole,#kaggle [16] cell,integration Top Word Pairs in Tweet in G9:
[27] tkm2261,kaggle新コンペ [27] kaggle新コンペ,細胞内でdna [27] 細胞内でdna,rnaとタンパク質がどのように関連して変化するかを予測するコンペ [27] rnaとタンパク質がどのように関連して変化するかを予測するコンペ,皆さん待望のテーブルデータコンペではあるものの [27] 皆さん待望のテーブルデータコンペではあるものの,データサイズが28 [27] データサイズが28,54 [27] 54,gb [5] 最近のkaggle,半端な計算リソースじゃデータの中身すらまともに確認できないという意味でもはや金持ちの遊びと化している [5] kaggle_hokudai,goto_yuta_ [5] goto_yuta_,企業使用が有料化になった時に Top Word Pairs in Tweet in G10:
[10] looking,datasets [10] datasets,test [10] test,knowledge [10] knowledge,gained [10] gained,fastdotai [10] fastdotai,course [10] course,good [10] good,community [10] community,share [10] kaggle,paperswithcode Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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:
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: