The graph represents a network of 2,664 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, 11 April 2021 at 04:25 UTC.
The requested start date was Sunday, 11 April 2021 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, 19-hour, 52-minute period from Sunday, 28 March 2021 at 00:30 UTC to Friday, 09 April 2021 at 20:23 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 : 2664
Unique Edges : 2068
Edges With Duplicates : 5753
Total Edges : 7821
Number of Edge Types : 5
Mentions : 682
Replies to : 526
Retweet : 2158
MentionsInRetweet : 2905
Tweet : 1550
Self-Loops : 1562
Reciprocated Vertex Pair Ratio : 0.0281148268718556
Reciprocated Edge Ratio : 0.054691997697179
Connected Components : 699
Single-Vertex Connected Components : 515
Maximum Vertices in a Connected Component : 1638
Maximum Edges in a Connected Component : 6418
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.895213
Graph Density : 0.000489693598968852
Modularity : 0.404079
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 2,664 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, 11 April 2021 at 04:25 UTC.
The requested start date was Sunday, 11 April 2021 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, 19-hour, 52-minute period from Sunday, 28 March 2021 at 00:30 UTC to Friday, 09 April 2021 at 20:23 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:
[199] machine,learning [181] natural,language [181] language,processing [175] nlp,competitions [173] list,favourite [171] learn,natural [171] processing,solving [171] solving,problems [171] problems,list [171] favourite,nlp Top Word Pairs in Tweet in G1:
[12] getting,started [11] started,kaggle [10] facial,detection [9] kaggle,datathon [9] 深層学習,pytorch [9] pytorch,を用いた [9] を用いた,kaggle [9] kaggle,titanic実践 [9] titanic実践,part [9] kaggle,using Top Word Pairs in Tweet in G2:
[80] kaggle,competitions [48] ai,ethics [44] machine,learning [44] tunguz,kaggle [39] kaggle,course [39] intro,ai [39] kaggle,kaggle [39] kaggle,competition [35] alexis_b_cook,var0101 [35] think,kaggle Top Word Pairs in Tweet in G3:
[104] machine,learning [95] #100daysofcode,day [79] #100daysofcode,#python [76] #python,#kaggle [71] #365daysofcode,#100daysofcode [65] data,science [64] kaggle,dataset [60] keviweviii,#100daysofcode [59] df_christian,#365daysofcode [43] #analytics,#datascience Top Word Pairs in Tweet in G4:
[164] list,favourite [162] learn,natural [162] natural,language [162] language,processing [162] processing,solving [162] solving,problems [162] problems,list [162] favourite,nlp [162] nlp,competitions [161] abhi1thakur,learn Top Word Pairs in Tweet in G5:
[80] ソフトウェアエンジニアの採用基準インフレ問題,2013年頃までは牧歌的だったデータサイエンティスト採用がいつの間にやkaggleのメダル数とかarxiv発表論文数とかで競うようになったのと同じで [79] tjo_datasci,ソフトウェアエンジニアの採用基準インフレ問題 [79] 2013年頃までは牧歌的だったデータサイエンティスト採用がいつの間にやkaggleのメダル数とかarxiv発表論文数とかで競うようになったのと同じで,人気が沸騰して志願者が殺到するようになったら自 [2] 統計学ガチ勢増でベイズ,因果推論などモダンな統計分析に秀でたエキスパートが増え [2] 因果推論などモダンな統計分析に秀でたエキスパートが増え,kaggle人気やcs [2] kaggle人気やcs,ml専攻出身者増によって機械学習 [2] ml専攻出身者増によって機械学習,そしてnn [2] そしてnn,に秀でたエキスパートが増え [2] に秀でたエキスパートが増え,学術 [2] 学術,技術的に優れた人材だらけになった今 Top Word Pairs in Tweet in G6:
[22] 00,00 [20] gpuを止めない,精神でkaggleと向き合う [20] 精神でkaggleと向き合う,日立製作所メンバー [20] 日立製作所メンバー,カレーちゃんによるkaggler対談 [14] カレーちゃんによるkaggler対談,qiitaより [13] let's,started [13] started,kaggle [13] kaggle,#kaggle [13] #kaggle,#かぐるーど [11] #kaggle,competition Top Word Pairs in Tweet in G7:
[23] day7,physical [21] #30daychartchallenge,day [20] ggplot2,bar [20] bar,chart [19] trying,catch [19] catch,#30daychartchallenge [19] #30daychartchallenge,day7 [19] physical,looked [19] looked,age [19] age,sex Top Word Pairs in Tweet in G8:
[32] awesome,tricks [32] tricks,best [32] best,practices [25] practices,kaggle [25] kaggle,kdnuggets [25] #datascience,#machinelearning [23] kdnuggets,#datascience [21] kdnuggets,awesome [7] practices,#kaggle [7] #kaggle,bex Top Word Pairs in Tweet in G9:
[35] kita,bisa [34] thread,situs [34] situs,oke [34] oke,buat [34] buat,yang [34] yang,nyari [34] nyari,proyek [34] proyek,data [34] data,science [34] science,kita Top Word Pairs in Tweet in G10:
[24] resources,order [23] capeandcode,resources [6] picked,common [6] common,projects [6] projects,implemented [6] implemented,mostly [6] mostly,kaggle [6] kaggle,titanic [6] titanic,survival [5] capeandcode,picked Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G7:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: