The graph represents a network of 4,074 Twitter users whose recent tweets contained "kaggle", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/14/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 15 January 2023 at 05:22 UTC.
The tweets in the network were tweeted over the 1032-day, 13-hour, 33-minute period from Wednesday, 18 March 2020 at 11:19 UTC to Sunday, 15 January 2023 at 00:53 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 4074
Unique Edges : 1431
Edges With Duplicates : 9242
Total Edges : 10673
Number of Edge Types : 9
Tweet : 979
Retweet : 3433
MentionsInRetweet : 4033
Mentions : 270
Replies to : 886
MentionsInReplyTo : 1002
MentionsInQuote : 28
Quote : 41
MentionsInQuoteReply : 1
Self-Loops : 1387
Reciprocated Vertex Pair Ratio : 0.0325993091537133
Reciprocated Edge Ratio : 0.0631402885218482
Connected Components : 539
Single-Vertex Connected Components : 384
Maximum Vertices in a Connected Component : 3203
Maximum Edges in a Connected Component : 9098
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.391622
Graph Density : 0.000288247099660455
Modularity : 0.420592
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,074 Twitter users whose recent tweets contained "kaggle", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/14/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 15 January 2023 at 05:22 UTC.
The tweets in the network were tweeted over the 1032-day, 13-hour, 33-minute period from Wednesday, 18 March 2020 at 11:19 UTC to Sunday, 15 January 2023 at 00:53 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[1607] 2023,python [1546] data,science [1048] data,analysis [992] python,data [988] ml,ai [984] science,ml [983] free,certifications [981] certifications,2023 [978] ezekiel_aleke,free [631] free,2023 Top Word Pairs in Tweet in G1:
[884] data,science [881] 2023,python [881] certifications,2023 [881] ml,ai [881] free,certifications [881] science,ml [881] python,data [880] ezekiel_aleke,free [3] learn,others [3] twitter,discord Top Word Pairs in Tweet in G2:
[908] data,analysis [498] 2023,python [453] learn,data [453] org,learn [453] edx,org [453] learn,skills [453] free,2023 [453] python,learnpython [453] learnpython,org [453] skills,free Top Word Pairs in Tweet in G3:
[57] kaggle,dataset [49] using,#nasa [49] maintenance,#griddb [49] learn,conduct [49] #griddb,using [49] #nasa,turbofan [49] conduct,predictive [49] turbofan,kaggle [49] predictive,maintenance [48] griddbcommunity,learn Top Word Pairs in Tweet in G4:
[60] data,science [51] kaggleに挑む深層学習プログラミングの極意,ks情報科学専門書 [36] ks情報科学専門書,小嵜耕平 [36] 新着ランキング,kaggleに挑む深層学習プログラミングの極意 [36] 小嵜耕平,著 [29] machine,learning [20] 著,工学 [18] course,kaggle [17] kaggle,book [12] moved,rank Top Word Pairs in Tweet in G5:
[211] data,science [131] machine,learning [125] kaggle,great [124] science,machine [123] aspirants,rich [123] platform,data [123] free,use [123] great,platform [123] rich,content [123] learning,aspirants Top Word Pairs in Tweet in G6:
[73] 2023,#bigdatabowl [67] #bigdatabowl,project [51] #bigdatabowl,submission [36] big,data [36] data,bowl [34] sack,model [34] expected,sack [30] pass,rush [30] tracking,data [28] based,defender Top Word Pairs in Tweet in G7:
[17] kaggleのスマホgnss測位チャレンジのコード,衛星の選定基準やらドップラー効果除去やら具体的にコードで書かれていて [17] 衛星の選定基準やらドップラー効果除去やら具体的にコードで書かれていて,趣味測位にも転用できそうでありがたいと思うなど [17] 趣味測位にも転用できそうでありがたいと思うなど,こうやって衛星位置と衛星との距離から移動体の緯度経度の算出するんだ [16] こうやって衛星位置と衛星との距離から移動体の緯度経度の算出するんだ,思ったよりその [16] k_yone,kaggleのスマホgnss測位チャレンジのコード [13] を文系学部生が読んで痛感した7個の落とし穴,kaggle_hokudaiのブログ [13] 初記事投稿します,dsを勉強し始めた初学者が陥りがちなトピックを7個説明してます [13] kaggle_hokudaiのブログ,初記事投稿します [13] 技術書の読書術,を文系学部生が読んで痛感した7個の落とし穴 [13] #はてなブログ,技術書の読書術 Top Word Pairs in Tweet in G8:
[128] data,science [128] 2023,python [121] learn,skills [121] free,2023 [121] python,learnpython [121] learnpython,org [121] skills,free [121] org,data [114] science,coursera [114] mlops,madewithml Top Word Pairs in Tweet in G9:
[99] #bigdata,#analytics [99] #python,#rstats [99] #rstats,#tensorflow [99] #datascience,#iot [99] #analytics,#datascience [99] #iot,#iiot [92] gp_pulipaka,kaggle's [64] kaggle's,10 [64] #tensorflow,#java [64] free,ebooks Top Word Pairs in Tweet in G10:
[112] machine,learning [108] within,short [108] check,free [108] free,courses [108] period,check [108] learning,within [108] basics,machine [108] learn,master [108] short,period [108] courses,kaggle Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: