The graph represents a network of 2,805 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, 28 November 2021 at 05:27 UTC.
The requested start date was Sunday, 28 November 2021 at 01:01 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, 38-minute period from Sunday, 14 November 2021 at 01:07 UTC to Sunday, 28 November 2021 at 00:46 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 : 2805
Unique Edges : 2299
Edges With Duplicates : 6442
Total Edges : 8741
Number of Edge Types : 5
Tweet : 1787
Retweet : 2090
MentionsInRetweet : 3162
Mentions : 912
Replies to : 790
Self-Loops : 1812
Reciprocated Vertex Pair Ratio : 0.0362537764350453
Reciprocated Edge Ratio : 0.0699708454810496
Connected Components : 666
Single-Vertex Connected Components : 469
Maximum Vertices in a Connected Component : 1722
Maximum Edges in a Connected Component : 7201
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.866455
Graph Density : 0.000479706861346536
Modularity : 0.389047
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2,805 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, 28 November 2021 at 05:27 UTC.
The requested start date was Sunday, 28 November 2021 at 01:01 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, 38-minute period from Sunday, 14 November 2021 at 01:07 UTC to Sunday, 28 November 2021 at 00:46 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:
[298] help,protect [270] tensorflow,help [259] data,scientists [257] kaggle,#pratiksehajpal [251] scientists,kaggle [250] accordingly,largest [250] largest,company [250] company,data [250] #pratiksehajpal,going [250] going,win Top Word Pairs in Tweet in G1:
[256] kaggle,#pratiksehajpal [252] data,scientists [249] accordingly,largest [249] largest,company [249] company,data [249] scientists,kaggle [249] #pratiksehajpal,going [249] going,win [249] win,season [246] help,protect Top Word Pairs in Tweet in G2:
[20] machine,learning [18] 2021,11 [14] time,series [14] course,kaggle [13] let's,started [13] started,kaggle [13] kaggle,#kaggle [13] #kaggle,#かぐるーど [11] data,science [10] #kaggle,#python Top Word Pairs in Tweet in G3:
[34] competition,kaggle [25] qa,competition [24] #1,solution [24] solution,writeup [24] writeup,kaggle [24] kaggle,#chaii [24] #chaii,tamil [24] tamil,hindi [24] hindi,qa [24] competition,done Top Word Pairs in Tweet in G4:
[115] machine,learning [76] data,science [68] #100daysofcode,day [54] learning,data [46] _datajunkie,#100daysofcode [37] ml,ai [33] kaggle,dataset [33] days,ml [33] fortune,500 [33] 500,historical Top Word Pairs in Tweet in G5:
[24] machine,learning [21] month,ago [21] ago,kaggle [21] kaggle,published [21] published,results [21] results,annual [21] annual,machine [21] learning,data [21] data,science [21] science,survey Top Word Pairs in Tweet in G6:
[16] machine,learning [10] course,kaggle [6] international,alternatives [6] alternatives,#kaggle [6] #kaggle,#datascience [6] #datascience,#machinelearning [6] #machinelearning,competitions [6] competitions,#kdn [6] using,torch [6] completed,intro Top Word Pairs in Tweet in G7:
[11] miss,latest [11] latest,reads [11] reads,include [11] include,mmbronstein's [11] mmbronstein's,series [11] series,graph [11] graph,neural [11] neural,networks [11] networks,thisisdevanshi [9] lightning,flash Top Word Pairs in Tweet in G8:
[14] #kaggle,#python [5] ryusuke__h,kaggle_hokudai [4] hino1729,kaggle_hokudai [4] nya_nyanya_o,kaggle_hokudai [4] #kaggle,#probspace [4] #probspace,#python [4] _,ω [4] ω,_ﾍﾟｼｮ [4] _ﾍﾟｼｮ,#kaggle [3] kaggleとかatcoder界隈の人らと絡んでると感覚麻痺してくるけど,一般的な情報工学系の学部生ってdockerどころかgitの使い方も知らない人が沢山おるんよね Top Word Pairs in Tweet in G9:
[24] build,portfolio [24] portfolio,data [24] data,professional [24] professional,explore [24] explore,publicly [16] message,dms [16] dms,time [16] time,time [16] time,build [15] twickta,message Top Word Pairs in Tweet in G10:
[4] round4,#66daysofdata [4] house,prices [4] ml,kaggle [3] eda,house [3] prices,dataset [3] take,look [3] 66,continuing [2] link,notebook [2] kaggle,notebooks [2] #66daysofdata,d65 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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