The graph represents a network of 4,203 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, 11 December 2022 at 05:23 UTC.
The requested start date was Sunday, 11 December 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 12-day, 17-hour, 41-minute period from Sunday, 27 November 2022 at 01:16 UTC to Friday, 09 December 2022 at 18:57 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 : 4203
Unique Edges : 2505
Edges With Duplicates : 8448
Total Edges : 10953
Number of Edge Types : 5
Retweet : 3640
MentionsInRetweet : 4780
Tweet : 1248
Replies to : 447
Mentions : 838
Self-Loops : 1290
Reciprocated Vertex Pair Ratio : 0.0138172439204127
Reciprocated Edge Ratio : 0.0272578593494458
Connected Components : 611
Single-Vertex Connected Components : 427
Maximum Vertices in a Connected Component : 3203
Maximum Edges in a Connected Component : 9564
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 4.108944
Graph Density : 0.000311590404306527
Modularity : 0.4389
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,203 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, 11 December 2022 at 05:23 UTC.
The requested start date was Sunday, 11 December 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 12-day, 17-hour, 41-minute period from Sunday, 27 November 2022 at 01:16 UTC to Friday, 09 December 2022 at 18:57 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:
[1019] exercises,until [1019] mode,sql [1019] master,mode [1019] favorite,websites [1019] until,master [1019] coding,exercises [1019] 10,favorite [1019] datalemur,sql [944] data,science [890] thedavescience,10 Top Word Pairs in Tweet in G1:
[784] thedavescience,10 [713] mode,sql [713] exercises,until [713] websites,drill [713] 10,favorite [713] master,mode [713] until,master [713] pandas,datalemur [713] kaggle,pandas [713] drill,coding Top Word Pairs in Tweet in G2:
[49] kaggle,dataset [45] conduct,predictive [45] #griddb,using [45] using,#nasa [45] learn,conduct [45] maintenance,#griddb [45] turbofan,kaggle [45] predictive,maintenance [45] #nasa,turbofan [44] griddbcommunity,learn Top Word Pairs in Tweet in G3:
[438] data,science [271] micro,courses [269] long,data [269] courses,accelerate [269] free,micro [269] bored,long [269] kaggle,free [269] video,lectures [269] lectures,kaggle [269] accelerate,learning Top Word Pairs in Tweet in G4:
[26] machine,learning [24] data,science [16] data,analysis [16] 参照,kaggle [15] course,kaggle [14] lastest,build [14] day,using [14] using,lastest [14] build,augraphy [14] shabbypage,day Top Word Pairs in Tweet in G5:
[252] data,science [226] machine,learning [224] best,platform [224] learning,data [224] _jaydeepkarale,kaggle [224] kaggle,best [223] platform,correctly [223] wish,machine [223] science,few [223] platform,wish Top Word Pairs in Tweet in G6:
[42] shift,advent [42] ai,shift [30] calendar,2022 [30] advent,calendar [24] true,kernel [24] 年始からkaggleを始めて5つのnlpコンペに出たけど,自分の頭の整理もかねて5回コンペに参加して見かけたnlpトリックを図にまとめてみた [24] lauched,medal [24] 自分の頭の整理もかねて5回コンペに参加して見かけたnlpトリックを図にまとめてみた,これをひと通りやれば銅メダルは絶対に取れる [24] medal,true [24] #kaggle,competition Top Word Pairs in Tweet in G7:
[214] mode,sql [214] exercises,until [214] 10,favorite [214] master,mode [214] until,master [214] favorite,websites [214] coding,exercises [214] datalemur,sql [191] practice,coding [191] sql,datalemur Top Word Pairs in Tweet in G8:
[277] machine,learning [104] very,popular [104] powerful,machine [104] recent,years [104] years,kaggle [104] learning,algorithm [104] xgboost,powerful [104] become,very [104] algorithm,become [104] popular,recent Top Word Pairs in Tweet in G9:
[105] #datascience,#ai [105] #ai,#machinelearning [105] #bigdata,#analytics [105] #analytics,#datascience [105] #python,#rstats [105] #machinelearning,#iot [105] #iot,#iiot [104] network,#bigdata [104] neural,network [104] #iiot,#pytorch Top Word Pairs in Tweet in G10:
[28] book,data [28] kaggle,book [28] #machinelearning,competitive [28] data,analysis [28] 500,kaggle [28] competitive,#datascience [28] analysis,#machinelearning [24] kirkdborne,500 [22] tatman,applying [22] kaggle's,rachel Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: