The graph represents a network of 3,180 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 December 2022 at 05:22 UTC.
The requested start date was Sunday, 04 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 13-day, 7-hour, 25-minute period from Sunday, 20 November 2022 at 01:15 UTC to Saturday, 03 December 2022 at 08:40 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 : 3180
Unique Edges : 1886
Edges With Duplicates : 6420
Total Edges : 8306
Number of Edge Types : 5
Replies to : 536
Mentions : 766
Tweet : 1122
Retweet : 2597
MentionsInRetweet : 3285
Self-Loops : 1152
Reciprocated Vertex Pair Ratio : 0.0312418640978912
Reciprocated Edge Ratio : 0.0605907599091139
Connected Components : 531
Single-Vertex Connected Components : 365
Maximum Vertices in a Connected Component : 2330
Maximum Edges in a Connected Component : 7246
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.395378
Graph Density : 0.000391820536104665
Modularity : 0.426707
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 3,180 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 December 2022 at 05:22 UTC.
The requested start date was Sunday, 04 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 13-day, 7-hour, 25-minute period from Sunday, 20 November 2022 at 01:15 UTC to Saturday, 03 December 2022 at 08:40 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:
[703] machine,learning [620] data,science [436] course,kaggle [412] hands,course [411] learning,check [411] check,hands [411] kaggle,completely [411] started,machine [410] completely,fr [410] nilofer_tweets,started Top Word Pairs in Tweet in G1:
[70] radekosmulski,kaggle [62] kaggle,competitions [56] #1,kaggle [56] went,#1 [56] write,3rd [56] competitions,world [56] 3rd,chapter [56] chapter,blog [56] blog,series [56] series,went Top Word Pairs in Tweet in G2:
[387] machine,learning [381] course,kaggle [381] check,hands [381] kaggle,completely [381] learning,check [381] hands,course [381] started,machine [380] nilofer_tweets,started [380] completely,fr [19] data,science Top Word Pairs in Tweet in G3:
[312] data,science [300] micro,courses [298] science,video [298] bored,long [298] long,data [298] lectures,kaggle [298] courses,accelerate [298] video,lectures [298] kaggle,free [298] accelerate,learning Top Word Pairs in Tweet in G4:
[24] machine,learning [17] data,science [17] 参照,kaggle [15] deep,learning [14] data,analysis [13] course,kaggle [11] #日本語,#english [11] #herohoro_ひよこ,#日本語 [10] 世界最大のデータサイエンスコンペティション,kaggle [10] kaggle,#kaggle Top Word Pairs in Tweet in G5:
[34] single,cell [33] kaggle_araisan,おめでとうございます [32] multimodal,single [31] open,problems [27] problems,multimodal [23] 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 [23] 精度が低いが高速な方法で候補を絞ってから,精度が高い方法でランク付けをする手法は [23] ymatsuさんの記事の,精度が低いが高速な方法で候補を絞ってから [23] 精度が高い方法でランク付けをする手法は,一般的に有効な考え方と言えるでしょう [23] 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 Top Word Pairs in Tweet in G6:
[80] data,science [48] machine,learning [44] cleaning,data [42] tyan_brooker,day [40] data,analysis [38] kaggle,book [36] 500,kaggle [36] book,data [36] competitive,#datascience [36] #machinelearning,competitive Top Word Pairs in Tweet in G7:
[102] data,science [94] fashion,crypto [94] project,soccer [94] next,data [94] market,amazon [94] home,prices [94] prices,fashion [94] kaggle,datasets [94] soccer,home [94] deep,next Top Word Pairs in Tweet in G8:
[28] latest,kaggle_days [28] event,primarily [28] paris,event [28] kaggle_days,event [28] past,week [28] honor,giving [28] presentation,latest [28] giving,presentation [28] event,paris [28] week,honor Top Word Pairs in Tweet in G9:
[32] data,science [26] based,course [26] exercise,based [25] kaggle's,exercise [25] science,put [25] take,kaggle's [25] everything,learned [25] put,practice [25] learned,python [25] course,data Top Word Pairs in Tweet in G10:
[38] ds,ai [38] ml,ds [38] python,ml [38] free,certifications [38] certifications,software [38] software,engineering [36] denicmarko,free [36] engineering,python [3] freecodecamp,testautomationu [2] engineering,freecodecamp Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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 Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: