The graph represents a network of 2,552 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, 06 March 2022 at 05:27 UTC.
The requested start date was Sunday, 06 March 2022 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 12-day, 17-hour, 50-minute period from Sunday, 20 February 2022 at 01:03 UTC to Friday, 04 March 2022 at 18:54 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 : 2552
Unique Edges : 1988
Edges With Duplicates : 5772
Total Edges : 7760
Number of Edge Types : 5
Retweet : 2116
MentionsInRetweet : 2771
Tweet : 1510
Replies to : 642
Mentions : 721
Self-Loops : 1545
Reciprocated Vertex Pair Ratio : 0.0313814299579424
Reciprocated Edge Ratio : 0.0608531994981179
Connected Components : 601
Single-Vertex Connected Components : 420
Maximum Vertices in a Connected Component : 1482
Maximum Edges in a Connected Component : 6138
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.322634
Graph Density : 0.000489696707542312
Modularity : 0.394902
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,552 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, 06 March 2022 at 05:27 UTC.
The requested start date was Sunday, 06 March 2022 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 12-day, 17-hour, 50-minute period from Sunday, 20 February 2022 at 01:03 UTC to Friday, 04 March 2022 at 18:54 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:
[341] #analytics,#datascience [320] machine,learning [312] #datascience,#ai [305] #bigdata,#analytics [303] #iot,#iiot [292] #ai,#machinelearning [285] #machinelearning,#iot [253] kaggle,notebooks [201] data,science [171] #iiot,#python Top Word Pairs in Tweet in G1:
[17] machine,learning [14] #indbml,#interestingdata [13] started,kaggle [12] let's,started [12] kaggle,#kaggle [12] #kaggle,#かぐるーど [12] #dataset,#indbml [10] #python,#プログラミング [10] course,kaggle [9] dataset,kaggle Top Word Pairs in Tweet in G2:
[110] kaggle,notebooks [107] currently,kaggle [107] notebooks,master [107] master,top [107] top,70 [107] 70,world [107] world,competition [107] competition,silver [107] silver,medal [107] medal,well Top Word Pairs in Tweet in G3:
[332] #analytics,#datascience [304] #datascience,#ai [301] #bigdata,#analytics [299] #iot,#iiot [288] #ai,#machinelearning [281] #machinelearning,#iot [169] #iiot,#python [166] machine,learning [151] #ai,#ml [125] #python,#rstats Top Word Pairs in Tweet in G4:
[29] 何かkaggleに宇宙船タイタニック号なる謎コンペが生えとるwww,2912年にアルファケンタウリ周辺で起きた事故によって異空間に飛ばされた乗客を予測するらしい [29] 2912年にアルファケンタウリ周辺で起きた事故によって異空間に飛ばされた乗客を予測するらしい,どうやってデータ作ってんだ [28] tkm2261,何かkaggleに宇宙船タイタニック号なる謎コンペが生えとるwww [23] eda,exploratory [23] exploratory,data [23] data,analysis [23] analysis,は [23] は,実案件におけるデータの事前理解にせよ [23] 実案件におけるデータの事前理解にせよ,kaggleなどのコンペデータの理解にせよ [23] kaggleなどのコンペデータの理解にせよ,機械学習の重要な要素です Top Word Pairs in Tweet in G5:
[24] save,notebooks [24] data,viz [24] trick,learned [23] rasbt,similar [23] similar,topic [23] topic,one [23] one,very [23] very,cool [23] cool,trick [23] learned,one Top Word Pairs in Tweet in G6:
[52] お願い,#フォロー [48] #相互フォロー,#相互フォロー100 [35] お願い,フォロー [28] #フォロー,#固定ツイートrt [28] #固定ツイートをrt,#固定リツイート [27] お礼,フォロバ [27] #固定リツイート,#固定rt [27] #フォロバ,#フォロバ100 [25] フォロバ,固定ツイートをrt [23] このツイートをrt,お礼 Top Word Pairs in Tweet in G7:
[24] data,science [24] machine,learning [22] first,dashboard [22] dashboard,using [22] using,power [22] power,bi [22] bi,data [22] data,set [22] set,sales [22] sales,kaggle Top Word Pairs in Tweet in G8:
[2] lead_coalition,nigewillson [2] nigewillson,roblemvr [2] roblemvr,dinisguarda [2] dinisguarda,geraldjwilmink [2] geraldjwilmink,nicochan33 [2] nicochan33,thefuturisthq [2] thefuturisthq,coe4ai [2] coe4ai,nordicinst [2] nordicinst,dhpsp [2] drug,discovery Top Word Pairs in Tweet in G9:
[28] #mlolympiad,globally [28] globally,distributed [28] distributed,ml [28] ml,competitions [27] devs,take [27] take,#ml [27] #ml,skills [27] skills,next [27] next,level [27] level,#mlolympiad Top Word Pairs in Tweet in G10:
[40] kaggle,competitive [40] competitive,data [40] data,science [40] science,platform [40] platform,one [40] one,largest [40] largest,repositories [40] repositories,datasets [39] theoyinbooke,kaggle [6] posted,video 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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