The graph represents a network of 3,649 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, 16 January 2022 at 05:30 UTC.
The requested start date was Sunday, 16 January 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 13-day, 23-hour, 9-minute period from Sunday, 02 January 2022 at 01:05 UTC to Sunday, 16 January 2022 at 00:15 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 : 3649
Unique Edges : 2361
Edges With Duplicates : 8185
Total Edges : 10546
Number of Edge Types : 5
Replies to : 956
Retweet : 2897
MentionsInRetweet : 3534
Tweet : 2016
Mentions : 1143
Self-Loops : 2042
Reciprocated Vertex Pair Ratio : 0.038979447200567
Reciprocated Edge Ratio : 0.0750341064120055
Connected Components : 833
Single-Vertex Connected Components : 628
Maximum Vertices in a Connected Component : 2407
Maximum Edges in a Connected Component : 8861
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.263997
Graph Density : 0.000330389724654195
Modularity : 0.380241
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 3,649 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, 16 January 2022 at 05:30 UTC.
The requested start date was Sunday, 16 January 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 13-day, 23-hour, 9-minute period from Sunday, 02 January 2022 at 01:05 UTC to Sunday, 16 January 2022 at 00:15 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:
[939] gt,gt [798] machine,learning [595] data,science [267] learn,python [264] ml,course [262] andrew,ng [260] minimal,roadmap [260] roadmap,machine [260] learning,learn [260] python,libraries Top Word Pairs in Tweet in G1:
[24] data,science [19] 東進のアンケートで中高生の8割以上がプログラミングは必要なスキルと認識していると判明,競プロやkaggleに取り組む中1も [18] machine,learning [16] started,kaggle [14] kaggle,#kaggle [13] course,kaggle [13] let's,started [13] #kaggle,#かぐるーど [10] moved,rank [10] kaggle,カグル Top Word Pairs in Tweet in G2:
[76] #ai,#ml [53] kaggle,competition [38] data,science [37] machine,learning [37] 5th,annual [36] annual,#widsdatathon [35] competition,begun [34] #widsdatathon,live [34] live,kaggle [34] begun,begin Top Word Pairs in Tweet in G3:
[272] machine,learning [190] #bigdata,#analytics [188] #analytics,#datascience [188] #datascience,#iot [188] #iot,#iiot [188] #python,#rstats [172] gp_pulipaka,kaggle's [125] #rstats,#tensorflow [124] kaggle's,10 [124] 10,free Top Word Pairs in Tweet in G4:
[40] aws,gcp [40] gcp,azure [40] azure,さくらのクラウドなど合わせて最大3 [40] さくらのクラウドなど合わせて最大3,000万円分くらい用意するので僕と半年 [40] 000万円分くらい用意するので僕と半年,1年ほどkaggleやその他内容が興味あるコンペ参加したい方いませんか [39] ren_uechi,aws [31] kaggle入門,petfinderコンペの参戦記 [31] petfinderコンペの参戦記,の動画をyoutubeに上げました [31] の動画をyoutubeに上げました,正直2位に至るライブ記録が残ってるのは貴重なのでは [31] 正直2位に至るライブ記録が残ってるのは貴重なのでは,初回は Top Word Pairs in Tweet in G5:
[910] gt,gt [353] data,science [174] websites,level [174] level,data [174] science,journey [174] journey,towards [174] towards,data [174] science,kaggle [174] kaggle,analytics [174] analytics,vidhya Top Word Pairs in Tweet in G6:
[221] machine,learning [216] minimal,roadmap [216] roadmap,machine [216] learning,learn [216] learn,python [216] python,libraries [216] libraries,take [216] take,one [216] one,ml [216] ml,course Top Word Pairs in Tweet in G7:
[63] abhi1thakur,kaggle [38] machine,learning [27] comprehensive,list [27] list,kaggle [27] kaggle,solutions [27] solutions,ideas [26] burkov,comprehensive [23] tutorials,around [22] video,tutorials [22] around,kaggle's Top Word Pairs in Tweet in G8:
[133] kaggle,competitions [129] spent,500 [129] 500,hours [129] hours,kaggle [129] competitions,last [129] last,year [129] year,medaled [129] medaled,times [129] times,including [129] including,first Top Word Pairs in Tweet in G9:
[53] #bigdatabowl,submission [27] drop,net [21] punt,returner [18] nfl,#bigdatabowl [14] evaluate,punt [14] super,excited [14] excited,announce [14] announce,#bigdatabowl [14] submission,drop [14] net,created Top Word Pairs in Tweet in G10:
[18] 10,datasets [18] datasets,kaggle [18] kaggle,practice [18] practice,improve [18] improve,#datascience [18] #datascience,skills [17] kdnuggets,10 [3] key,trends [3] industrial,automation [2] #edgecomputing,#singlepairethernet 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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