The graph represents a network of 5,244 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, 04 September 2022 at 04:25 UTC.
The requested start date was Sunday, 04 September 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 12-day, 18-hour, 57-minute period from Sunday, 21 August 2022 at 00:03 UTC to Friday, 02 September 2022 at 19:00 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 : 5244
Unique Edges : 5400
Edges With Duplicates : 11257
Total Edges : 16657
Number of Edge Types : 5
Retweet : 4714
MentionsInRetweet : 8230
Replies to : 663
Mentions : 1641
Tweet : 1409
Self-Loops : 1458
Reciprocated Vertex Pair Ratio : 0.0118286445012788
Reciprocated Edge Ratio : 0.0233807266982622
Connected Components : 528
Single-Vertex Connected Components : 365
Maximum Vertices in a Connected Component : 4384
Maximum Edges in a Connected Component : 15608
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.935797
Graph Density : 0.000345344408213894
Modularity : 0.460458
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 5,244 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, 04 September 2022 at 04:25 UTC.
The requested start date was Sunday, 04 September 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 12-day, 18-hour, 57-minute period from Sunday, 21 August 2022 at 00:03 UTC to Friday, 02 September 2022 at 19:00 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 URLs in Tweet in Entire Graph:
[188] https://www.kaggle.com/datasets [50] https://www.kaggle.com/learn/intro-to-programming [40] https://www.kaggle.com/ [38] https://milkit.ai/ [36] https://www.amazon.com/gp/product/8269211508/ref=as_li_tl?ie=UTF8&camp=1789&creative=9325&creativeASIN=8269211508&linkCode=as2&tag=kirkdborne-20&linkId=362dbfeaaabc7fee2c5526d0e340b370 [24] https://zenn.dev/yume_neko/articles/6e8f78a12a1d2a [23] http://outage.census.gov/closed.html [21] https://www.kaggle.com/learn/overview [20] https://www.kaggle.com/learn/certification/olawumia/intro-to-programming [13] https://medium.com/kaggle-blog/top-marks-for-student-kaggler-in-bengali-ai-a-winners-interview-with-linsho-kaku-dd321b324c74?source=collection_home---4------3----------------------- Top URLs in Tweet in G1:
[1] https://www.amazon.com/Data-Analysis-Machine-Learning-Ka/dp/1801817472/ref=mp_s_a_1_4?crid=1JU5DNXS0JOKC&keywords=kaggle+book&qid=1637868517&qsid=133-1643086-3007952&sprefix=kaggle+,aps,146&sr=8-4&sres=1789955750,1999579518,0691118183,1801817472,B08BFZJSMY,0133902838,1260452778,1802280200,B09L3C69ZW,9811229368,1802280146,1651002541,1651792704,B01MZBAN3Z&srpt=ABIS_BOOK [1] https://twitter.com/i/web/status/1551175406597787648 [1] https://frontendmentor.io/ [1] https://www.kaggle.com/ Top URLs in Tweet in G2:
[13] https://www.kaggle.com/omercolakoglu [7] https://www.kaggle.com/datasets [4] https://www.kaggle.com/datasets/hskhawaja/russia-ukraine-conflict [3] https://freecodecamp.org/ [3] https://learndigital.withgoogle.com/digitalgarage/course/digital-marketing [3] https://www.kaggle.com/learn/python [2] https://markodenic.com/free-courses/ [2] https://www.youtube.com/watch?v=bM5qbA6w17k&t=15s [2] https://www.youtube.com/watch?v=lEROwzOtBEI [2] https://www.youtube.com/c/MusaKhanOC Top URLs in Tweet in G3:
[24] https://zenn.dev/yume_neko/articles/6e8f78a12a1d2a [8] https://speakerdeck.com/masakiaota/kaggledeshi-yong-sarerudi-dui-xue-xi-fang-fa-awpnolun-wen-jie-shuo-toshi-zhuang-jie-shuo-adversarial-weight-perturbation-helps-robust-generalization [5] https://github.com/arnabbiswas1/kaggle_pipeline_tps_aug_22 [4] https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2F99-lessons-on-data-analysis-from-placing-top-5-in-5-kaggle-analytics-challenges-453d5e7b4581 [4] https://www.kaggle.com/competitions/amex-default-prediction/discussion/347786 [4] https://qiita.com/takuma-1234/items/c46007d2b83bb9b569fa [4] https://www.kaggle.com/competitions/feedback-prize-english-language-learning/discussion/349336 [3] https://www.kaggle.com/datasets/tunguz/200000-jeopardy-questions?utm_medium=social&utm_campaign=kaggle-dataset-share&utm_source=twitter [3] https://www.kaggle.com/datasets/tunguz/covid19-vaccinations-in-the-united-states-county?utm_medium=social&utm_campaign=kaggle-dataset-share&utm_source=twitter [3] https://www.kaggle.com/code/philippsinger/team-hydrogen-efficiency-prize-1st-place Top URLs in Tweet in G4:
[9] https://www.kaggle.com/ [9] https://news.mynavi.jp/techplus/article/20220824-2431717/ [8] https://www.kaggle.com/datasets [6] https://register.nvidia.com/flow/nvidia/gtcfall2022/attendeeportal/page/sessioncatalog/session/1655758735750001xtsA?ncid=so-nvsh-948338 [6] https://twinybots.ch/ [4] https://www.kaggle.com/competitions/open-problems-multimodal [3] https://www.kaggle.com/learn/overview [3] https://www.kaggle.com/learn/intro-to-machine-learning [3] https://www.kaggle.com/learn/intro-to-programming [3] https://www.kaggle.com/competitions/spaceship-titanic Top URLs in Tweet in G6:
[38] https://milkit.ai/ [34] https://www.amazon.com/gp/product/8269211508/ref=as_li_tl?ie=UTF8&camp=1789&creative=9325&creativeASIN=8269211508&linkCode=as2&tag=kirkdborne-20&linkId=362dbfeaaabc7fee2c5526d0e340b370 [20] https://www.kaggle.com/learn/certification/olawumia/intro-to-programming [13] https://medium.com/kaggle-blog/top-marks-for-student-kaggler-in-bengali-ai-a-winners-interview-with-linsho-kaku-dd321b324c74?source=collection_home---4------3----------------------- [13] https://bengali.ai/ [12] https://www.amazon.com/dp/1801817472?tag=corpusnews-20&linkCode=osi&th=1&psc=1 [11] https://sigopt.com/blog/how-to-win-a-kaggle-competition-with-hyper-parameter-optimization/ [7] https://www.youtube.com/watch?v=CHFiTTPeyUw&list=PLxqBkZuBynVTn2lkHNAcw6lgm1MD5QiMK&index=9 [7] https://www.kaggle.com/ [7] https://medium.com/kaggle-blog/the-3-ingredients-to-our-success-winners-dish-on-their-solution-to-googles-quest-q-a-labeling-c1a63014b88?source=collection_home---4------5----------------------- Top URLs in Tweet in G7:
[1] https://twitter.com/i/web/status/1564834572218826757 [1] https://twitter.com/i/web/status/1563771656816185344 [1] https://twitter.com/i/web/status/1563606067782623234 [1] https://twitter.com/i/web/status/1560279701670596608 [1] https://twitter.com/i/web/status/1564946869654020099 [1] https://www.kaggle.com/code/ashwanikumar04/image-aug-keras-random-shear-preprocessing-layer Top URLs in Tweet in G8:
[41] https://www.kaggle.com/learn/intro-to-programming [23] http://outage.census.gov/closed.html [9] https://www.kaggle.com/ [1] https://twitter.com/i/web/status/1563745702039076870 [1] https://twitter.com/i/web/status/1564504107221647360 Top URLs in Tweet in G9:
[169] https://www.kaggle.com/datasets [8] https://paperswithcode.com/ [8] https://github.com/awesomedata/awesome-public-datasets [8] https://reddit.com/r/datasets/ [8] https://www.openml.org/ [5] https://www.kaggle.com [2] https://www.kaggle.com/competitions/open-problems-multimodal/overview [2] https://www.kaggle.com/learn/intro-to-programming [2] https://www.amazon.com/gp/product/8269211508/ref=as_li_tl?ie=UTF8&camp=1789&creative=9325&creativeASIN=8269211508&linkCode=as2&tag=kirkdborne-20&linkId=362dbfeaaabc7fee2c5526d0e340b370 [1] https://www.kaggle.com/datasets/kaggleashwin/population-dataset Top URLs in Tweet in G10:
[1] https://twitter.com/i/web/status/1565134128453824513 [1] https://querie.me/answer/B1DQRiqyyqpm2mYmkbP2?timestamp=1662042538 Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1743] machine,learning [1107] google,colab [1104] pandas,tutorial [1101] start,machine [1100] python,learn [1099] steps,start [1099] learning,start [1099] start,python [1099] learn,use [1099] use,google Top Word Pairs in Tweet in G1:
[982] machine,learning [977] pandas,tutorial [975] google,colab [974] start,machine [972] baby,steps [972] steps,start [972] learning,start [972] start,python [972] python,learn [972] learn,use Top Word Pairs in Tweet in G2:
[865] freecodecamp,testautomationu [752] software,engineering [750] free,certifications [750] certifications,software [750] engineering,freecodecamp [750] testautomationu,python [750] python,ml [750] ml,ds [750] ds,ai [750] ai,kaggle Top Word Pairs in Tweet in G3:
[65] これ本当ガチ,kaggle超強い人周りにいたら聞いてみ [65] kaggle超強い人周りにいたら聞いてみ,躊躇なく強い公開notebook使って [65] 躊躇なく強い公開notebook使って,lbこすりまくる初心者 [65] lbこすりまくる初心者,と [65] と,自前実装選んで [65] 自前実装選んで,無駄な事も基礎だと思い模索しようとする初心者 [65] 無駄な事も基礎だと思い模索しようとする初心者,どっちが現実的に花開くと思うか [65] どっちが現実的に花開くと思うか,マジで前者って答えるから [64] tkm2261,これ本当ガチ [60] feedback,prize Top Word Pairs in Tweet in G4:
[40] machine,learning [21] course,kaggle [14] data,science [14] started,kaggle [14] kaggle,#kaggle [13] kaggleのgrandmasterが4人も,優秀な人材が集まる謎の企業 [13] 優秀な人材が集まる謎の企業,rist [12] rist,って [12] let's,started [12] #kaggle,#かぐるーど Top Word Pairs in Tweet in G5:
[323] best,websites [323] websites,practicing [323] practicing,coding [323] coding,skills [323] skills,learn [323] learn,code [323] code,freecodecamp [323] freecodecamp,practice [323] practice,codewars [322] ykdojo,best Top Word Pairs in Tweet in G6:
[110] #machinelearning,#deeplearning [109] #datascience,#100daysofmlcode [109] #100daysofmlcode,#python [109] #python,#pytorch [109] #pytorch,#tensorflow [108] #deeplearning,#datascience [63] kaggle,book [63] data,analysis [61] #tensorflow,#youtube [59] book,data Top Word Pairs in Tweet in G7:
[329] machine,learning [284] month,marks [284] marks,8th [284] 8th,year [284] year,field [284] field,machine [284] learning,amazing [284] amazing,things [284] things,ve [284] ve,encountered Top Word Pairs in Tweet in G8:
[196] kaggle,launched [196] launched,hands [196] hands,micro [196] micro,course [195] afraid,started [195] started,coding [195] coding,folks [195] folks,one's [195] one's,kaggle [194] aakriti_sarma,afraid Top Word Pairs in Tweet in G9:
[193] machine,learning [169] find,free [169] free,datasets [169] datasets,next [169] next,machine [169] learning,project [169] project,kaggle [168] kaggle,papers [168] papers,code [168] sumanth_077,find Top Word Pairs in Tweet in G10:
[28] おすすめ機械学習コンぺ3選,kaggle [28] kaggle,上級者向け [28] 上級者向け,グローバル [28] グローバル,signate [28] signate,中級者向け [28] 中級者向け,日本 [28] 日本,nishika [28] nishika,初学者向け [28] 初学者向け,日本 [28] 日本,この他に Top Replied-To in Entire Graph:
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