The graph represents a network of 2,832 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, 20 March 2022 at 04:26 UTC.
The requested start date was Sunday, 20 March 2022 at 00:01 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, 17-hour, 41-minute period from Sunday, 06 March 2022 at 01:01 UTC to Saturday, 19 March 2022 at 18:43 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 : 2832
Unique Edges : 2352
Edges With Duplicates : 5956
Total Edges : 8308
Number of Edge Types : 5
Tweet : 1731
Mentions : 1150
MentionsInRetweet : 2574
Replies to : 897
Retweet : 1956
Self-Loops : 1761
Reciprocated Vertex Pair Ratio : 0.044214757393052
Reciprocated Edge Ratio : 0.0846851800934836
Connected Components : 622
Single-Vertex Connected Components : 435
Maximum Vertices in a Connected Component : 1670
Maximum Edges in a Connected Component : 6303
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.244668
Graph Density : 0.000453638789272122
Modularity : 0.396691
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,832 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, 20 March 2022 at 04:26 UTC.
The requested start date was Sunday, 20 March 2022 at 00:01 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, 17-hour, 41-minute period from Sunday, 06 March 2022 at 01:01 UTC to Saturday, 19 March 2022 at 18:43 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:
[418] machine,learning [277] data,science [225] freecodecamp,sololearn [224] free,freecodecamp [218] python,free [218] pythonforbeginners,kaggle [218] kaggle,learnpython [217] sololearn,pythonforbeginners [215] sites,teach [215] teach,python Top Word Pairs in Tweet in G1:
[15] kaggle,#kaggle [14] let's,started [13] started,kaggle [13] #kaggle,#かぐるーど [9] data,kaggle [9] #kaggleosaka,#データサイエンス [8] machine,learning [8] course,kaggle [7] kaggle,competition [7] kaggle,competitions Top Word Pairs in Tweet in G2:
[57] competitions,2021 [56] ml,competitions [54] analysis,83 [54] 83,ml [54] 2021,collab [54] collab,galieoeni [54] galieoeni,kaggle [54] kaggle,dominant [54] dominant,competitions [53] ml_contests,analysis Top Word Pairs in Tweet in G3:
[57] kaggle,jeremyphoward [57] jeremyphoward,vopani [56] bhutanisanyam1,kaggle [39] kaggle,ultramnist [34] koalaswelcome,day [30] 3080,ti [29] vopani,congratulations [28] kaggle,competition [27] win,nvidia [26] machine,learning Top Word Pairs in Tweet in G4:
[36] 00,00 [35] machine,learning [32] kaggleなどmlコンペ80件以上の優勝した手法を調査,コンペの種類 [32] コンペの種類,モデルの種類 [32] モデルの種類,efficientnetとresnetの人気差 [32] efficientnetとresnetの人気差,優勝チームの人数 [32] 優勝チームの人数,初優勝か優勝経験者か [32] 初優勝か優勝経験者か,などなど [32] などなど,最後には調査結果に基づく [31] isid_ai_team,kaggleなどmlコンペ80件以上の優勝した手法を調査 Top Word Pairs in Tweet in G5:
[97] machine,learning [73] kaggle,dataset [61] learn,conduct [61] conduct,predictive [61] predictive,maintenance [61] maintenance,#griddb [61] #griddb,using [61] using,#nasa [61] #nasa,turbofan [61] turbofan,kaggle Top Word Pairs in Tweet in G6:
[200] sites,teach [200] teach,python [200] python,free [200] free,freecodecamp [200] freecodecamp,sololearn [200] sololearn,pythonforbeginners [200] pythonforbeginners,kaggle [200] kaggle,learnpython [199] aakriiti_sharma,sites [5] steps,resume Top Word Pairs in Tweet in G7:
[98] お願い,#フォロー [86] お願い,フォロー [75] お返し,#フォロバ [61] #相互フォロー,#相互フォロー100 [60] お礼,フォロバ [58] お願い,#私をフォロー [55] #フォロバ,#固定ツイートrt [52] このツイートをrt,お礼 [50] フォロー,このツイートをrt [48] フォロバ,固定ツイートをrt Top Word Pairs in Tweet in G8:
[202] machine,learning [94] data,science [89] 10,platforms [89] platforms,learn [89] learn,data [88] learning,mastery [87] science,machine [87] learning,mlops [87] mlops,open [87] open,source Top Word Pairs in Tweet in G9:
[105] summer,code [105] code,coming [105] coming,recruiting [105] recruiting,students [105] students,work [105] work,few [105] few,cool [105] cool,projects [105] projects,creating [104] random_forests,summer Top Word Pairs in Tweet in G10:
[39] data,science [19] computer,vision [18] science,enthusiast [18] enthusiast,interested [18] interested,domain [18] domain,computer [18] vision,look [18] look,more [18] more,ultramnist [18] ultramnist,newly Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: