The graph represents a network of 3,428 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, 04 July 2021 at 04:28 UTC.
The requested start date was Sunday, 04 July 2021 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, 34-minute period from Sunday, 20 June 2021 at 00:34 UTC to Saturday, 03 July 2021 at 19:08 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 : 3428
Unique Edges : 2519
Edges With Duplicates : 7206
Total Edges : 9725
Number of Edge Types : 5
Replies to : 625
Tweet : 2031
Retweet : 2602
MentionsInRetweet : 3495
Mentions : 972
Self-Loops : 2048
Reciprocated Vertex Pair Ratio : 0.0338389731621937
Reciprocated Edge Ratio : 0.0654627539503386
Connected Components : 811
Single-Vertex Connected Components : 641
Maximum Vertices in a Connected Component : 2312
Maximum Edges in a Connected Component : 8252
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 4.397373
Graph Density : 0.000377093293391521
Modularity : 0.403241
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 3,428 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, 04 July 2021 at 04:28 UTC.
The requested start date was Sunday, 04 July 2021 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, 34-minute period from Sunday, 20 June 2021 at 00:34 UTC to Saturday, 03 July 2021 at 19:08 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:
[877] machine,learning [442] google,colab [416] colab,kaggle [412] need,buy [412] buy,gpu [412] work,alternatives [412] alternatives,google [410] gpu,machine [410] learning,work [407] svpino,need Top Word Pairs in Tweet in G1:
[31] kaggle,expertになるまで勉強したことを全て書く [24] machine,learning [23] open,source [22] evalai,open [22] source,alternative [22] alternative,kaggle [17] expertになるまで勉強したことを全て書く,qiita [15] started,kaggle [14] kaggle,#kaggle [13] let's,started Top Word Pairs in Tweet in G2:
[87] kaggle,grandmaster [83] approaching,machine [83] machine,learning [83] learning,problem [82] 史上初の4x,kaggle [82] grandmaster,の [82] の,abhi1thakur [82] abhi1thakur,さんによる書籍 [82] さんによる書籍,approaching [82] problem,の翻訳を担当しました Top Word Pairs in Tweet in G3:
[396] machine,learning [387] google,colab [384] need,buy [384] buy,gpu [384] gpu,machine [384] learning,work [384] work,alternatives [384] alternatives,google [384] colab,kaggle [383] svpino,need Top Word Pairs in Tweet in G4:
[132] machine,learning [81] data,science [70] #ai,#ml [55] kaggle,#machinelearning [53] kaggle,competition [47] dataset,kaggle [38] #python,#datascience [36] day,#100daysofcode [35] #machinelearning,#datascience [33] kaggle,#100daysofcode Top Word Pairs in Tweet in G5:
[46] kaggle,competition [38] four,4x [33] kaggle,grandmasters [33] bojan,tunguz [32] attended,wonderful [32] wonderful,panel [32] panel,four [32] 4x,grandmasters [32] grandmasters,kaggle [32] kaggle,abhishek Top Word Pairs in Tweet in G6:
[191] بعد,النجاح [191] النجاح,الذي [191] الذي,حققته [191] حققته,بيانات [191] بيانات,مطاعم [191] مطاعم,الرياض [191] الرياض,التي [191] التي,رفعتها [191] رفعتها,العام [191] العام,الماضي Top Word Pairs in Tweet in G7:
[136] machine,learning [129] data,scientist [129] scientist,machine [129] learning,engineer [129] engineer,really [129] really,synthesizing [128] dynamicwebpaige,data [128] synthesizing,respo [22] benhamner,useful [22] useful,description Top Word Pairs in Tweet in G8:
[71] machine,learning [30] إذا,أردت [30] أردت,أن [30] أن,تتعلم [30] تتعلم,لغة [30] لغة,الآلة [30] الآلة,machine [30] learning,بخوارزمياتها [30] بخوارزمياتها,algorithms [30] algorithms,و Top Word Pairs in Tweet in G9:
[2] トレジャーデータ株式会社との業務提携がスタートします,これからもactcastを活用したdxをどんどん拡げていきます [2] ロゴを自動的に作ってくれるサービス,キーワードとコンセプトを決めると100個以上のロゴデザインを一瞬で作ってくれます [2] キーワードとコンセプトを決めると100個以上のロゴデザインを一瞬で作ってくれます,以下のデザインは [2] 以下のデザインは,ロジカル [2] ロジカル,のキーワードで作成しました [2] のキーワードで作成しました,英語しか対応していませんが [2] 9件のコメント,aws内の通信がインターネットを経由しない今 [2] aws内の通信がインターネットを経由しない今,vpc [2] vpc,endpointを利用する意味はあるのか [2] endpointを利用する意味はあるのか,フューチャー技術ブログ Top Word Pairs in Tweet in G10:
[36] すでにご存知の方もいらっしゃると思いますが,kaggleで重力波を検出するコンペが始まりました [36] kaggleで重力波を検出するコンペが始まりました,期間はおよそ3ヶ月 [36] 期間はおよそ3ヶ月,9月末が締め切り [36] 9月末が締め切り,最大で [36] 最大で,6000が与えられます [36] 6000が与えられます,データ分析の腕に自信がある方はぜひチャレンジしてみると良いでしょう [35] tweet_nakasho,すでにご存知の方もいらっしゃると思いますが Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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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:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: