The graph represents a network of 3,199 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, 02 August 2020 at 03:28 UTC.
The requested start date was Sunday, 02 August 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, 22-hour, 57-minute period from Sunday, 19 July 2020 at 01:02 UTC to Sunday, 02 August 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 : 3199
Unique Edges : 2481
Edges With Duplicates : 7333
Total Edges : 9814
Number of Edge Types : 5
Tweet : 1634
Retweet : 2703
MentionsInRetweet : 3800
Mentions : 1164
Replies to : 513
Self-Loops : 1655
Reciprocated Vertex Pair Ratio : 0.0232610659439928
Reciprocated Edge Ratio : 0.0454645773559921
Connected Components : 724
Single-Vertex Connected Components : 555
Maximum Vertices in a Connected Component : 2205
Maximum Edges in a Connected Component : 8529
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.09395
Graph Density : 0.000442895596869018
Modularity : 0.400177
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 3,199 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, 02 August 2020 at 03:28 UTC.
The requested start date was Sunday, 02 August 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, 22-hour, 57-minute period from Sunday, 19 July 2020 at 01:02 UTC to Sunday, 02 August 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:
[232] machine,learning [142] data,science [136] covid,19 [125] foster,research [125] research,enable [125] enable,progress [125] progress,large [125] large,scale [125] scale,instance [125] instance,level Top Word Pairs in Tweet in G1:
[31] machine,learning [23] course,kaggle [18] data,science [14] python,kaggle [14] kaggle,データサイエンス [13] kaggle,competition [12] プログラミング,python [12] kaggle,coimbatore [11] kaggleの学習から投稿までをaws,github [11] github,actionsを使って自動化する Top Word Pairs in Tweet in G2:
[103] machine,learning [89] covid,19 [88] cell,epitope [87] interested,applying [87] applying,machine [87] learning,skills [87] skills,covid [87] 19,vaccine [87] vaccine,development [87] development,cell Top Word Pairs in Tweet in G3:
[108] arthur,llau [66] data,science [62] machine,learning [55] #ml,#ai [54] let's,start [54] start,arthur [54] llau,arthur [54] llau,toolkit [54] toolkit,language [54] language,python Top Word Pairs in Tweet in G4:
[76] kaggleの学習から投稿までをaws,github [76] github,actionsを使って自動化する [76] actionsを使って自動化する,kanayamaのブログ [42] 個人ブログを投稿しました,しばらくは [42] しばらくは,会社のブログ [42] 会社のブログ,個人のブログともにアウトプット量を増やしていければと思ってます [42] 個人のブログともにアウトプット量を増やしていければと思ってます,kaggleの学習から投稿までをaws [41] tkanayama_,個人ブログを投稿しました [41] kanayamaのブログ,ht [34] 気づいたら新卒2年目のメンバーがどんどん強くなっていっている,kaggleの学習から投稿までをaws Top Word Pairs in Tweet in G5:
[113] foster,research [113] research,enable [113] enable,progress [113] progress,large [113] large,scale [113] scale,instance [113] instance,level [113] level,recognition [113] recognition,problems [113] announcing,2020 Top Word Pairs in Tweet in G6:
[49] kaggle,grandmaster [49] #kaggle,winning [48] 4x,kaggle [48] proud,nfl [48] nfl,implemented [48] implemented,dott1718 [48] dott1718,#kaggle [48] winning,model [48] model,use [48] use,throughout Top Word Pairs in Tweet in G7:
[49] deep,learning [30] もっと色んなエンジニアの方とつながり,知識を共有してほしいです [30] 機械学習エンジニアになる,画像処理の研究に従事 [30] 画像処理の研究に従事,jdla [30] jdla,deep [28] 知識を共有してほしいです,自己紹介 [28] 自己紹介,機械学習エンジニアになる [28] learning,general [27] kapi__man,もっと色んなエンジニアの方とつながり [27] general,2020#2 Top Word Pairs in Tweet in G8:
[73] world,open [73] open,source [73] source,open [73] open,courses [73] courses,pay [73] pay,online [73] online,education [73] education,book [73] book,ai [73] ai,ml Top Word Pairs in Tweet in G9:
[36] chezou,あつ森の商品データセットがkaggleに [12] denaの原田慧さんの寄稿です,入社 [12] 入社,kaggle [12] kaggle,そして転職 [12] そして転職,数学からデータ分析 [12] 数学からデータ分析,純粋数学 [12] 純粋数学,そしてまたデータ分析へ [12] そしてまたデータ分析へ,アカデミアを離れてみたら [12] アカデミアを離れてみたら,アカデミアを離れてみたら [12] アカデミアを離れてみたら,web岩波 Top Word Pairs in Tweet in G10:
[116] هل,تريد [58] تريد,العمل [58] العمل,بمجال [58] بمجال,علم [58] علم,البيانات [58] البيانات,الذكاء [58] الذكاء,الاصطناعي [58] الاصطناعي,هل [58] تريد,الحصول [58] الحصول,على 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:
Top Tweeters in G1:
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Top Tweeters in G10: