The graph represents a network of 3,040 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, 21 March 2021 at 04:25 UTC.
The requested start date was Sunday, 21 March 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 13-day, 23-hour, 58-minute period from Sunday, 07 March 2021 at 00:01 UTC to Sunday, 21 March 2021 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 : 3040
Unique Edges : 2018
Edges With Duplicates : 6561
Total Edges : 8579
Number of Edge Types : 5
Tweet : 1596
Retweet : 2536
MentionsInRetweet : 3138
Replies to : 547
Mentions : 762
Self-Loops : 1631
Reciprocated Vertex Pair Ratio : 0.0336484983314794
Reciprocated Edge Ratio : 0.065106268496099
Connected Components : 729
Single-Vertex Connected Components : 539
Maximum Vertices in a Connected Component : 1965
Maximum Edges in a Connected Component : 7145
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.760933
Graph Density : 0.00040233542889801
Modularity : 0.401909
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 3,040 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, 21 March 2021 at 04:25 UTC.
The requested start date was Sunday, 21 March 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 13-day, 23-hour, 58-minute period from Sunday, 07 March 2021 at 00:01 UTC to Sunday, 21 March 2021 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:
[626] machine,learning [272] data,science [174] getting,job [159] open,source [158] contribute,open [153] gain,experience [152] different,ways [152] ways,gain [152] experience,machine [152] learning,before Top Word Pairs in Tweet in G1:
[16] machine,learning [16] kaggle,grandmaster [15] course,kaggle [14] みんなからの匿名質問を募集中,こんな質問に答えてるよ [14] let's,started [14] started,kaggle [14] kaggle,#kaggle [14] #kaggle,#かぐるーど [13] #質問箱,#匿名質問募集中 [12] top,10 Top Word Pairs in Tweet in G2:
[102] machine,learning [52] data,science [46] kaggle,dataset [40] inspiring,group [40] group,biomedical [40] biomedical,researchers [40] researchers,released [40] released,kaggle [40] dataset,challenge [40] challenge,help Top Word Pairs in Tweet in G3:
[32] #kaggle,competition [30] 00,00 [30] なにこれすげーいいじゃん,kaggleで戦いたい人のためのpandas実戦入門 [30] kaggleで戦いたい人のためのpandas実戦入門,ml_bearのkaggleな日常 [29] fkubota_,なにこれすげーいいじゃん [21] 2021,03 [18] lauched,medal [18] 03,06 [16] kaggleは学部生とかがデータ分析の勉強の一環で参加するとかだと効果高いと思うけれど,データサイエンティスト的サムシングでご飯食べたいのなら [16] データサイエンティスト的サムシングでご飯食べたいのなら,深いモデルで浅いデータ分析競争に時間さくんじゃなくて Top Word Pairs in Tweet in G4:
[230] machine,learning [110] data,science [100] #python,#kaggle [96] #100daysofcode,#python [95] #365daysofcode,#100daysofcode [69] df_christian,#365daysofcode [49] courses,kaggle [49] data,day [49] day,series [49] series,train Top Word Pairs in Tweet in G5:
[102] kaggle,challenges [62] started,kaggle [57] thread,code [57] code,snippets [57] snippets,wish [57] wish,knew [57] knew,started [56] prasoonpratham,thread [52] kaggle,titanic [52] titanic,challenge Top Word Pairs in Tweet in G6:
[128] contribute,open [128] open,source [127] machine,learning [124] gain,experience [123] different,ways [123] ways,gain [123] experience,machine [123] learning,before [123] before,getting [123] getting,job Top Word Pairs in Tweet in G7:
[60] 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 [60] 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 [60] kaggle人気やcs,ml専攻出身者増によって機械学習 [60] ml専攻出身者増によって機械学習,そしてnn [60] そしてnn,に秀でたエキスパートが増え [60] に秀でたエキスパートが増え,学術 [60] 学術,技術的に優れた人材だらけになった今 [59] tjo_datasci,統計学ガチ勢増でベイズ [59] 技術的に優れた人材だらけになった今,データ分析プロセスそのも [39] エンジニアやデータサイエンティストなど,技術職において生き残る秘訣は競わない事なのに Top Word Pairs in Tweet in G8:
[80] machine,learning [67] companion,websites [67] websites,used [67] used,teach [67] teach,myself [67] myself,machine [67] learning,grad [67] grad,school [66] omarsar0,companion [66] school,kaggle Top Word Pairs in Tweet in G9:
[19] data,science [12] companies,increased [12] increased,#ai [12] #ai,investments [12] investments,last [12] last,year [12] year,finding [12] finding,great [12] great,talent [12] talent,hard Top Word Pairs in Tweet in G10:
[32] cvpr,2021 [25] computer,vision [25] live,kaggle [24] launched,series [24] series,computer [24] vision,challenges [24] challenges,kaggle [24] kaggle,part [24] part,fgvc [24] fgvc,workshop Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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