The graph represents a network of 2,508 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, 26 September 2021 at 04:28 UTC.
The requested start date was Sunday, 26 September 2021 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, 18-hour, 48-minute period from Sunday, 12 September 2021 at 00:10 UTC to Saturday, 25 September 2021 at 18:59 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 : 2508
Unique Edges : 1776
Edges With Duplicates : 5237
Total Edges : 7013
Number of Edge Types : 5
Replies to : 409
Retweet : 1839
MentionsInRetweet : 2424
Tweet : 1523
Mentions : 818
Self-Loops : 1537
Reciprocated Vertex Pair Ratio : 0.0354659248956885
Reciprocated Edge Ratio : 0.0685023505708529
Connected Components : 693
Single-Vertex Connected Components : 539
Maximum Vertices in a Connected Component : 1510
Maximum Edges in a Connected Component : 5612
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.202137
Graph Density : 0.000473633952524638
Modularity : 0.393345
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2,508 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, 26 September 2021 at 04:28 UTC.
The requested start date was Sunday, 26 September 2021 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, 18-hour, 48-minute period from Sunday, 12 September 2021 at 00:10 UTC to Saturday, 25 September 2021 at 18:59 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:
[207] machine,learning [146] kaggle,competition [96] data,science [96] schedule,notebooks [95] #datascience,#machinelearning [92] notebooks,run [92] daily,weekly [92] weekly,monthly [90] kaggle,read [87] read,more Top Word Pairs in Tweet in G1:
[16] machine,learning [16] data,science [16] 無料のkaggle公式講座,コンペ初参戦 [16] コンペ初参戦,で機械学習を始めよう [14] started,kaggle [13] let's,started [13] kaggle,#kaggle [13] #kaggle,#かぐるーど [11] course,kaggle [11] kaggle,competition Top Word Pairs in Tweet in G2:
[70] schedule,notebooks [70] notebooks,run [70] run,daily [70] daily,weekly [70] weekly,monthly [70] monthly,kaggle [70] kaggle,read [70] read,more [70] more,announcement [69] kaggle,schedule Top Word Pairs in Tweet in G3:
[72] machine,learning [70] #datascience,#machinelearning [65] #ai,#ml [55] #python,#kaggle [39] kaggle,competition [34] #python,#datascience [30] #deeplearning,#datascience [30] converting,kaggle [30] kaggle,training [30] training,notebooks Top Word Pairs in Tweet in G4:
[40] #kaggle,competition [39] lauched,medal [39] kernel,false [39] false,data [39] data,types [35] kagoole,#kaggle [28] medal,true [28] true,kernel [24] abejaブログ更新,abejaのデータサイエンティストでkaggle [24] abejaのデータサイエンティストでkaggle,masterのpaoさんに Top Word Pairs in Tweet in G5:
[30] day,100 [19] #66daysofdata,kenjee_ds [18] #100daysofmlcode,day [18] day,gt [18] k_ugh_shagra,day [16] #100daysofcode,day [16] 100,september [16] 2021,progress [15] sayalaruano,#100daysofmlcode [15] 100,more Top Word Pairs in Tweet in G6:
[40] kaggle's,dataset [40] dataset,platform [34] platform,passed [34] passed,100k [34] 100k,datasets [34] datasets,last [34] last,month [33] month,looking [33] looking,datasets [32] antgoldbloom,kaggle's Top Word Pairs in Tweet in G7:
[4] artificial,intelligence [4] lead_coalition,nigewillson [4] nigewillson,roblemvr [4] roblemvr,dinisguarda [4] dinisguarda,geraldjwilmink [4] geraldjwilmink,nicochan33 [4] nicochan33,thefuturisthq [4] thefuturisthq,coe4ai [3] discover,top [3] top,#artificialintelligence Top Word Pairs in Tweet in G8:
[13] abhi1thakur,kaggle [12] kaggle,competition [12] kaggle,notebooks [11] lightgbm,gpu [11] gpu,kaggle [11] 4x,kaggle [10] abhi1thakur,lightgbm [10] abhi1thakur,4x [9] kirkdborne,excellent [9] excellent,book Top Word Pairs in Tweet in G9:
[50] machine,learning [13] shoutout,today [13] today,random [13] random,acquaintance [13] acquaintance,person [13] person,late [13] late,60s [13] 60s,retirement [13] retirement,decided [13] decided,learn Top Word Pairs in Tweet in G10:
[37] wikipedia,image [28] image,caption [22] caption,matching [22] matching,challenge [17] images,essential [17] essential,knowledge [17] knowledge,sharing [17] sharing,learning [17] learning,understanding [17] understanding,majority Top Replied-To in Entire Graph:
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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: