The graph represents a network of 3,605 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, 18 September 2022 at 04:22 UTC.
The requested start date was Sunday, 18 September 2022 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, 18-hour, 1-minute period from Sunday, 04 September 2022 at 00:16 UTC to Saturday, 17 September 2022 at 18:17 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 : 3605
Unique Edges : 2069
Edges With Duplicates : 8070
Total Edges : 10139
Number of Edge Types : 5
Tweet : 1260
MentionsInRetweet : 4089
Replies to : 615
Retweet : 3353
Mentions : 822
Self-Loops : 1337
Reciprocated Vertex Pair Ratio : 0.0323749151007471
Reciprocated Edge Ratio : 0.062719298245614
Connected Components : 514
Single-Vertex Connected Components : 342
Maximum Vertices in a Connected Component : 2763
Maximum Edges in a Connected Component : 8995
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.058199
Graph Density : 0.000350973875536659
Modularity : 0.411118
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 3,605 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, 18 September 2022 at 04:22 UTC.
The requested start date was Sunday, 18 September 2022 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, 18-hour, 1-minute period from Sunday, 04 September 2022 at 00:16 UTC to Saturday, 17 September 2022 at 18:17 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:
[870] data,science [770] ãƒ,ム[675] using,kaggle [673] changed,career [673] career,accounting [673] accounting,data [673] science,without [673] without,using [673] kaggle,stupid [672] machine,learning Top Word Pairs in Tweet in G1:
[610] data,science [600] changed,career [600] career,accounting [600] accounting,data [600] science,without [600] without,using [600] using,kaggle [600] kaggle,stupid [600] stupid,make [599] thedavescience,changed Top Word Pairs in Tweet in G2:
[481] machine,learning [445] become,data [445] data,scientist [445] scientist,machine [445] learning,engineer [445] engineer,data [445] data,analyst [445] analyst,utilizing [445] utilizing,kaggle [444] sumanth_077,become Top Word Pairs in Tweet in G3:
[150] ãƒ,ム[53] ø,ù [51] ø,ø [43] ù,ø [30] ù,ù [22] æ,æ [18] course,kaggle [17] data,science [16] machine,learning [15] ç,æ Top Word Pairs in Tweet in G4:
[50] data,science [42] place,kaggle [41] added,blog [41] blog,journey [41] journey,1st [41] 1st,place [41] kaggle,chapter [41] chapter,achieving [41] achieving,very [41] very,first Top Word Pairs in Tweet in G5:
[186] #deeplearning,#machinelearning [185] #machinelearning,#datascience [180] ãƒ,ム[131] #datascience,#100daysofmlcode [123] #100daysofmlcode,#python [85] #pythoncode,#pythonprogramming [83] #python,#pytorch [75] #pythonprogramming,#pythonlearning [75] #pythonlearning,#deeplearning [72] #ai,#machinelearning Top Word Pairs in Tweet in G6:
[217] ãƒ,ム[58] ãƒ,ペã [53] æ,æ [43] ç,æ [39] ÿæ,ç [34] kaggleã,ム[34] æ,ÿæ [30] ç,ム[30] šã,ÿã [28] ãƒ,ç Top Word Pairs in Tweet in G7:
[109] hello,#datafam [108] #datafam,worked [108] worked,project [108] project,use [108] use,sql [108] sql,python [108] python,tableau [108] tableau,dataset [108] dataset,gotten [107] malcom_okonkwo,hello Top Word Pairs in Tweet in G8:
[43] data,science [27] helps,learn [27] full,data [27] science,workflow [27] workflow,portion [26] marktenenholtz,kaggle [26] kaggle,helps [26] learn,portion [26] portion,full [26] portion,worst Top Word Pairs in Tweet in G9:
[133] ãƒ,ム[19] awp完全理解者になりました,kaggleで使用される敵対学習方法awpの論文解説と実装解説 [18] ç,ç [18] yp_genzitsu,awp完全理解者になりました [16] 皆さんkaggleをご存知ですか,様々な組織がデータセットや課題を提供し [16] 様々な組織がデータセットや課題を提供し,世界中から集まった参加者が機械学習を用いて課題に取り組んでいます [16] 世界中から集まった参加者が機械学習を用いて課題に取り組んでいます,実際に出題されている課題やデータセットをまとめましたのでチェックしてみてください [16] æ,æ [15] skillupai,皆さんkaggleをご存知ですか [15] 実際に出題されている課題やデータセットをまとめましたのでチェックしてみてください,#データサイ Top Word Pairs in Tweet in G10:
[36] freecodecamp,testautomationu [30] free,certifications [30] certifications,software [30] software,engineering [30] python,ml [30] ml,ds [29] ds,ai [28] engineering,freecodecamp [28] testautomationu,python [27] denicmarko,free Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: