The graph represents a network of 4,268 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, 17 November 2019 at 15:40 UTC.
The requested start date was Sunday, 17 November 2019 at 15:37 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 6-day, 10-hour, 33-minute period from Sunday, 10 November 2019 at 00:00 UTC to Saturday, 16 November 2019 at 10:34 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 : 4268
Unique Edges : 4970
Edges With Duplicates : 1130
Total Edges : 6100
Self-Loops : 916
Reciprocated Vertex Pair Ratio : 0.011070896316798
Reciprocated Edge Ratio : 0.021899347230996
Connected Components : 465
Single-Vertex Connected Components : 377
Maximum Vertices in a Connected Component : 3639
Maximum Edges in a Connected Component : 5353
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.210023
Graph Density : 0.000260768492269414
Modularity : 0.571703
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,268 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, 17 November 2019 at 15:40 UTC.
The requested start date was Sunday, 17 November 2019 at 15:37 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 6-day, 10-hour, 33-minute period from Sunday, 10 November 2019 at 00:00 UTC to Saturday, 16 November 2019 at 10:34 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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2527] 数億点規模という世界でも稀な量の古典籍,古文書を有しながら [2527] 古文書を有しながら,くずし字 [2527] くずし字,で書かれているため読める人が殆どいない現代日本 [2527] で書かれているため読める人が殆どいない現代日本,全世界のデータサイエンティストにaiを活用した認識モデルを募り [2527] 全世界のデータサイエンティストにaiを活用した認識モデルを募り,今日 [2527] 今日,その結果発表と授賞式が行われます [2526] rcampbelltokyo,数億点規模という世界でも稀な量の古典籍 [2526] その結果発表と授賞式が行われます,新時代に古典知の [161] data,science [150] kaggle,competition Top Word Pairs in Tweet in G1:
[2510] 数億点規模という世界でも稀な量の古典籍,古文書を有しながら [2510] 古文書を有しながら,くずし字 [2510] くずし字,で書かれているため読める人が殆どいない現代日本 [2510] で書かれているため読める人が殆どいない現代日本,全世界のデータサイエンティストにaiを活用した認識モデルを募り [2510] 全世界のデータサイエンティストにaiを活用した認識モデルを募り,今日 [2510] 今日,その結果発表と授賞式が行われます [2509] rcampbelltokyo,数億点規模という世界でも稀な量の古典籍 [2509] その結果発表と授賞式が行われます,新時代に古典知の [30] aiがくずし字を読む時代がやってきた,日本文化とaiシンポジウム2019 [30] 日本文化とaiシンポジウム2019,が成功裏に行われ Top Word Pairs in Tweet in G2:
[125] kaggle,competition [98] those,interested [98] interested,latest [98] latest,self [98] self,driving [98] driving,research [98] research,especially [98] especially,those [98] those,participating [98] participating,kaggle Top Word Pairs in Tweet in G3:
[19] data,science [11] machine,learning [11] kaggle本で参考になった点のなぐり書き,麻か辣なら辣が好き [9] booz,allen [9] allen,kaggle [9] kaggle,pbs [9] pbs,kids [9] started,kaggle [8] t,co [8] kids,partner Top Word Pairs in Tweet in G4:
[33] 休日にkaggleやっていいか家内稟議申請中,最終決裁者は妻 [33] 最終決裁者は妻,kaggle [33] kaggle,m [33] m,gmがいかに市場価値が高いか説明したら [33] gmがいかに市場価値が高いか説明したら,今から頑張っても取れたとして数年後でしょ [33] 今から頑張っても取れたとして数年後でしょ,その頃にはm [33] その頃にはm,gmは増えてて市場価値減ってない [32] ryo_fujita_,休日にkaggleやっていいか家内稟議申請中 [32] gmは増えてて市場価値減ってない,さらにgm増えたらさらに上の資格も [28] kaggleコンペ,rsna Top Word Pairs in Tweet in G5:
[62] machine,learning [60] data,science [36] check,out [34] lots,great [34] great,insights [34] insights,global [34] global,data [34] science,machine [34] learning,industry [34] industry,survey Top Word Pairs in Tweet in G6:
[27] japanese,culture [27] culture,ai [25] don,t [23] learn,s [13] learned,japanese [13] ai,kaggle [13] kaggle,result [13] result,people [13] people,don [13] t,nice Top Word Pairs in Tweet in G7:
[4] china,usa [4] usa,russia [4] russia,data [4] data,scientists [4] scientists,outstanding [4] outstanding,kaggle [4] kaggle,competitions [4] competitions,need [4] need,minds [4] minds,bring Top Word Pairs in Tweet in G8:
[18] hemos,conseguido [18] conseguido,estamos [18] estamos,top [18] top,10 [18] 10,concretamente [18] concretamente,#9 [18] #9,solución [18] solución,aquí [17] antor,hemos [17] aquí,imposible Top Word Pairs in Tweet in G9:
[17] learn,more [9] show,#bigquery [9] #bigquery,ml [9] ml,kaggle [9] kaggle,skills [9] skills,participating [9] participating,newest [9] newest,competition [9] competition,learn [8] more,cloud Top Word Pairs in Tweet in G10:
[12] hello,phd [12] phd,student [12] student,working [12] working,research [12] research,study [12] study,users [11] users,behavior [4] behavior,cr [3] kaggle,hello [3] deep,learning Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: