The graph represents a network of 3,404 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, 17 January 2021 at 04:37 UTC.
The requested start date was Sunday, 17 January 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, 19-hour, 34-minute period from Sunday, 03 January 2021 at 01:09 UTC to Saturday, 16 January 2021 at 20:43 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 : 3404
Unique Edges : 2556
Edges With Duplicates : 9329
Total Edges : 11885
Number of Edge Types : 5
Retweet : 3391
MentionsInRetweet : 4710
Replies to : 579
Mentions : 1273
Tweet : 1932
Self-Loops : 1976
Reciprocated Vertex Pair Ratio : 0.0373478808224927
Reciprocated Edge Ratio : 0.0720064724919094
Connected Components : 805
Single-Vertex Connected Components : 642
Maximum Vertices in a Connected Component : 2319
Maximum Edges in a Connected Component : 10353
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.398259
Graph Density : 0.000426802506808639
Modularity : 0.367043
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 3,404 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, 17 January 2021 at 04:37 UTC.
The requested start date was Sunday, 17 January 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, 19-hour, 34-minute period from Sunday, 03 January 2021 at 01:09 UTC to Saturday, 16 January 2021 at 20:43 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:
[696] ãƒ,ム[409] data,science [389] machine,learning [368] deep,learning [267] google,colab [237] need,buy [237] buy,gpu [237] gpu,deep [237] learning,work [237] work,better Top Word Pairs in Tweet in G1:
[316] ãƒ,ム[70] kaggle,master [54] ø,ø [51] kaggle,grandmaster [40] dena在籍の,kaggle [34] grandmaster,が国内企業最多の3名に [34] が国内企業最多の3名に,kaggle [34] master,も16名 [32] data,scientist [31] interview,kaggle Top Word Pairs in Tweet in G2:
[161] kaggle,competition [139] data,science [135] #ai,#machinelearning [133] #bigdata,#analytics [133] #machinelearning,#iot [133] #iot,#iiot [133] #python,#rstats [123] impressions,kaggle [123] kaggle,noob [122] kaggle,reportedly Top Word Pairs in Tweet in G3:
[45] grandmaster,series [38] data,science [36] deep,learning [31] machine,learning [28] six,members [26] classification,model [24] competitions,kaggle [24] learn,six [24] members,kaggle [23] thread,show Top Word Pairs in Tweet in G4:
[220] deep,learning [219] need,buy [219] buy,gpu [219] gpu,deep [219] learning,work [219] work,better [219] better,cheaper [219] cheaper,options [219] options,google [219] google,colab Top Word Pairs in Tweet in G5:
[160] data,science [154] machine,learning [31] kaggle,challenges [29] live,kaggle [29] day,#66daysofdata [28] kaggle,competition [28] kaggle,competitions [24] 4th,annual [23] grandmaster,series [22] ãƒ,ムTop Word Pairs in Tweet in G6:
[159] ãƒ,ム[36] šã,šã [27] kaggle,mechanisms [27] mechanisms,action [27] action,moa [27] moa,prediction [23] ついにkaggle,grandmasterに昇格しましたー [23] grandmasterに昇格しましたー,長かっただけに喜びもひとしおです [23] 長かっただけに喜びもひとしおです,世界で202番目 [23] 世界で202番目,日本で12番目くらいのgm Top Word Pairs in Tweet in G7:
[107] #bigdatabowl,submission [93] day,#66daysofdata [38] submitted,entry [36] micro,course [36] #bigdatabowl,entry [35] 2021,#bigdatabowl [34] submission,live [32] entry,#bigdatabowl [29] really,pumped [29] pumped,share Top Word Pairs in Tweet in G8:
[38] awsとpythonが使えてtoeicや競プロやkaggleでスコアが高くてossやブログでの活動をすれば有利なのは間違いないけど,それらができなければ一人前に非らずな世界は間違っていると思うよ [37] wkbme,awsとpythonが使えてtoeicや競プロやkaggleでスコアが高くてossやブログでの活動をすれば有利なのは間違いないけど [29] awsとpythonとrustとc,が使えてtoeicや競プロやkaggleでスコアが高くてトップカンファ年に3本出せる人間はそこそこいるので [29] が使えてtoeicや競プロやkaggleでスコアが高くてトップカンファ年に3本出せる人間はそこそこいるので,頑張りましょう [28] tonets,awsとpythonとrustとc [17] dena在籍の,kaggle [17] kaggle,grandmaster [17] grandmaster,が国内企業最多の3名に [17] が国内企業最多の3名に,kaggle [17] kaggle,master Top Word Pairs in Tweet in G9:
[65] deep,learning [54] developer,surveys [53] here's,overview [53] overview,key [53] key,adoption [53] adoption,metrics [53] metrics,deep [53] learning,frameworks [53] frameworks,over [53] over,2020 Top Word Pairs in Tweet in G10:
[49] sites,trouver [49] trouver,jeux [49] kaggle,google [49] google,datasets [49] datasets,government [49] government,election [49] election,data [49] data,census [48] ctricot,sites [43] jeux,donnã Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G7:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: