The graph represents a network of 3,382 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, 25 October 2020 at 03:35 UTC.
The requested start date was Sunday, 25 October 2020 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, 52-minute period from Sunday, 11 October 2020 at 00:07 UTC to Sunday, 25 October 2020 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 : 3382
Unique Edges : 2144
Edges With Duplicates : 7226
Total Edges : 9370
Number of Edge Types : 5
Tweet : 1663
Retweet : 2747
MentionsInRetweet : 3439
Replies to : 492
Mentions : 1029
Self-Loops : 1682
Reciprocated Vertex Pair Ratio : 0.030969030969031
Reciprocated Edge Ratio : 0.060077519379845
Connected Components : 721
Single-Vertex Connected Components : 550
Maximum Vertices in a Connected Component : 2307
Maximum Edges in a Connected Component : 7960
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.38632
Graph Density : 0.000361011398620076
Modularity : 0.409655
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 3,382 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, 25 October 2020 at 03:35 UTC.
The requested start date was Sunday, 25 October 2020 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, 52-minute period from Sunday, 11 October 2020 at 00:07 UTC to Sunday, 25 October 2020 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:
[399] deep,learning [351] started,exploring [349] dplyr,absolutely [349] absolutely,favorite [349] favorite,#rstats [349] #rstats,package [349] package,made [349] made,tutorial [349] tutorial,anyone [349] anyone,looking Top Word Pairs in Tweet in G1:
[24] deep,learning [17] course,kaggle [14] intro,deep [14] data,science [14] kaggle,competition [14] started,kaggle [13] learning,course [13] let's,started [13] kaggle,#kaggle [13] #kaggle,#かぐるーど Top Word Pairs in Tweet in G2:
[58] data,science [47] science,survey [45] deep,learning [43] kaggle,competition [35] kaggle,notebook [29] work,data [29] data,capacity [29] capacity,take [29] take,kaggle's [29] kaggle's,2020 Top Word Pairs in Tweet in G3:
[334] dplyr,absolutely [334] absolutely,favorite [334] favorite,#rstats [334] #rstats,package [334] package,made [334] made,tutorial [334] tutorial,anyone [334] anyone,looking [334] looking,started [334] started,exploring Top Word Pairs in Tweet in G4:
[160] machine,learning [108] data,science [101] deep,learning [67] course,kaggle [48] #100daysofcode,day [43] puja_s_chandel,#100daysofcode [39] kaggle,dataset [36] sripathimohana1,day [34] kaggle,grandmaster [28] day,12 Top Word Pairs in Tweet in G5:
[45] 性別,男 [45] 男,年齢 [45] 年齢,26 [45] 26,身長 [45] 身長,167 [45] 167,体型 [45] 体型,やや細 [45] やや細,住所 [45] 住所,目黒 [45] 目黒,出身 Top Word Pairs in Tweet in G6:
[71] well,know [71] know,next [71] next,nothing [71] nothing,secondary [71] secondary,turn [71] turn,tell [71] tell,time [71] time,2021 [70] statsbylopez,well [70] 2021,bi Top Word Pairs in Tweet in G7:
[152] deep,learning [138] kaggle,brand [138] brand,introductory [138] introductory,course [138] course,deep [138] learning,check [137] fchollet,kaggle [13] machine,learning [9] finished,kaggle's [9] natural,language Top Word Pairs in Tweet in G8:
[59] pythonや機械学習を入門し終えた方がkaggleやprobspace,nishikaなどのデータ分析コンペに参加出来るようになりたい場合 [59] nishikaなどのデータ分析コンペに参加出来るようになりたい場合,下記の2冊 [59] 下記の2冊,couseraの組み合わせがオススメです [59] couseraの組み合わせがオススメです,実践data [59] 実践data,scienceシリーズ [58] tankazunori0914,pythonや機械学習を入門し終えた方がkaggleやprobspace [19] kaggleは実業務に活かせない,故に業務とは認めないと結論づける経営陣ないしマネージャー [19] 故に業務とは認めないと結論づける経営陣ないしマネージャー,個人的意見では機械学習の知識や経験が足りておらず [19] 個人的意見では機械学習の知識や経験が足りておらず,そこから得られる要素技術を理解し [19] そこから得られる要素技術を理解し,上手くコンポーネントとして切り出したり Top Word Pairs in Tweet in G9:
[34] kaggle,competition [33] business,life [33] life,kaggle [25] #rstats,#datascience [20] competition,co [17] overengineering,ml [17] ml,business [16] overprediction,business [15] data,analysis [11] co,ezobwlbsb6 Top Word Pairs in Tweet in G10:
[47] deep,learning [44] think,need [44] need,know [44] know,advanced [44] advanced,math [44] math,expensive [44] expensive,computer [44] computer,deep [44] learning,think [44] think,again 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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