The graph represents a network of 2,880 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, 08 November 2020 at 04:34 UTC.
The requested start date was Sunday, 08 November 2020 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, 10-hour, 57-minute period from Sunday, 25 October 2020 at 01:02 UTC to Saturday, 07 November 2020 at 11:59 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 : 2880
Unique Edges : 2350
Edges With Duplicates : 6667
Total Edges : 9017
Number of Edge Types : 5
Retweet : 2396
MentionsInRetweet : 3544
Tweet : 1657
Mentions : 959
Replies to : 461
Self-Loops : 1684
Reciprocated Vertex Pair Ratio : 0.0305206463195691
Reciprocated Edge Ratio : 0.0592334494773519
Connected Components : 699
Single-Vertex Connected Components : 511
Maximum Vertices in a Connected Component : 1841
Maximum Edges in a Connected Component : 7549
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.943612
Graph Density : 0.000484591486241365
Modularity : 0.381096
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 2,880 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, 08 November 2020 at 04:34 UTC.
The requested start date was Sunday, 08 November 2020 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, 10-hour, 57-minute period from Sunday, 25 October 2020 at 01:02 UTC to Saturday, 07 November 2020 at 11:59 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:
[512] deep,learning [356] machine,learning [220] 15,hour [192] learning,learn [192] learn,experts [192] experts,15 [192] hour,free [192] free,course [192] course,taught [190] freecodecamp,deep Top Word Pairs in Tweet in G1:
[29] deep,learning [22] data,scientists [17] platform,data [16] kaggle,crown [16] crown,sourced [16] sourced,platform [16] scientists,great [16] great,place [16] place,learn [16] learn,train Top Word Pairs in Tweet in G2:
[61] grandmaster,series [55] learn,kaggle [54] data,scientists [51] kaggle,data [50] computer,vision [49] data,scientist [46] machine,learning [45] kaggle,grandmasters [45] come,learn [45] scientist,ryanpholbrook Top Word Pairs in Tweet in G3:
[204] machine,learning [96] #bigdata,#analytics [96] #analytics,#datascience [96] #datascience,#ai [89] book,recommendations [89] recommendations,#bigdata [89] #iot,#iiot [89] #iiot,#python [89] #python,#rstats [83] #ai,#machinelearning Top Word Pairs in Tweet in G4:
[42] 11月10日にデータサイエンティスト協会シンポジウムで,毎年恒例のkaggleセッションを実施します [42] 毎年恒例のkaggleセッションを実施します,今年のテーマは [42] 今年のテーマは,kaggler枠 [42] kaggler枠,で [42] で,企業によるkaggler支援を掘り下げていきます [42] 企業によるkaggler支援を掘り下げていきます,私は司会を務めます [42] 私は司会を務めます,オンライン開催で [42] オンライン開催で,学生は無料です [41] upura0,11月10日にデータサイエンティスト協会シンポジウムで [41] 学生は無料です,ぜひご参加 Top Word Pairs in Tweet in G5:
[187] deep,learning [180] learning,learn [180] learn,experts [180] experts,15 [180] 15,hour [180] hour,free [180] free,course [180] course,taught [178] freecodecamp,deep [94] taught,kaggle's Top Word Pairs in Tweet in G6:
[160] need,buy [160] buy,gpu [160] gpu,deep [160] deep,learning [160] learning,work [160] work,cost [160] cost,time [160] time,dealing [160] dealing,hardware [160] hardware,operating Top Word Pairs in Tweet in G7:
[53] data,science [49] machine,learning [26] rsna,thoracicrad [22] kaggle,gm [19] ianpan,nothing [19] nothing,less [19] less,amazing [19] amazing,strikes [19] strikes,again [19] learning,data Top Word Pairs in Tweet in G8:
[29] kaggle,grandmaster [27] 4x,kaggle [17] absolutely,thrilled [17] thrilled,become [17] become,4x [17] grandmaster,shared [17] shared,small [17] small,write [17] write,journey [16] vopani,absolutely Top Word Pairs in Tweet in G9:
[28] myths,kaggle [26] transition,debunking [26] debunking,disinformation [26] disinformation,kaggling [26] kaggling,thread [26] thread,debunking [26] debunking,several [26] several,myths [26] kaggle,including [25] jfpuget,transition Top Word Pairs in Tweet in G10:
[39] deep,learning [18] 15,hour [16] free,15 [15] learning,free [15] hour,youtube [15] youtube,course [13] machine,learning [13] dive,deep [11] learning,interview [11] interview,astrophysicist 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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