The graph represents a network of 3,841 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, 03 July 2022 at 04:23 UTC.
The requested start date was Sunday, 03 July 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, 18-hour, 33-minute period from Sunday, 19 June 2022 at 00:22 UTC to Saturday, 02 July 2022 at 18:55 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 : 3841
Unique Edges : 2564
Edges With Duplicates : 8974
Total Edges : 11538
Number of Edge Types : 5
Retweet : 3344
MentionsInRetweet : 4354
Tweet : 1789
Mentions : 1204
Replies to : 847
Self-Loops : 1855
Reciprocated Vertex Pair Ratio : 0.0318329278183293
Reciprocated Edge Ratio : 0.06170170956966
Connected Components : 628
Single-Vertex Connected Components : 420
Maximum Vertices in a Connected Component : 2675
Maximum Edges in a Connected Component : 9978
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.590881
Graph Density : 0.000345030048598455
Modularity : 0.381645
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 3,841 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, 03 July 2022 at 04:23 UTC.
The requested start date was Sunday, 03 July 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, 18-hour, 33-minute period from Sunday, 19 June 2022 at 00:22 UTC to Saturday, 02 July 2022 at 18:55 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:
[770] data,science [617] avikumart_,kaggle [615] kaggle,goldmine [615] goldmine,data [615] science,enthusiasts [615] enthusiasts,begineers [615] begineers,stepping [615] stepping,field [615] field,best [614] best,kagg Top Word Pairs in Tweet in G1:
[581] data,science [567] kaggle,goldmine [567] goldmine,data [567] science,enthusiasts [567] enthusiasts,begineers [567] begineers,stepping [567] stepping,field [567] field,best [567] avikumart_,kaggle [566] best,kagg Top Word Pairs in Tweet in G2:
[133] kaggle,book [102] data,analysis [101] book,data [96] book,500 [96] 500,kaggle [96] analysis,#machinelearning [96] #machinelearning,competitive [96] competitive,#datascience [92] kirkdborne,book [84] #bigdata,#datascience Top Word Pairs in Tweet in G3:
[144] deep,learning [98] ready,embark [98] embark,deep [98] learning,journey [98] journey,released [98] released,over [98] over,hours [98] hours,videos [98] videos,first [98] first,series Top Word Pairs in Tweet in G4:
[32] jpx,tokyo [32] tokyo,stock [22] machine,learning [18] stock,prediction [18] prediction,nvidia [18] nvidia,tspp [17] course,kaggle [16] data,science [15] kaggle,#kaggle [14] started,kaggle Top Word Pairs in Tweet in G5:
[24] data,science [24] dataset,kaggle [17] #kaggle,competition [15] お久しぶりですtwitter,皆さんお元気ですか [15] 皆さんお元気ですか,最近は40歳から始める機械学習エンジニア業を主にしております [15] 最近は40歳から始める機械学習エンジニア業を主にしております,こないだ初めてkaggleコンペに参加したところ [15] こないだ初めてkaggleコンペに参加したところ,8位金メダル [15] 8位金メダル,主にチームメンバーの活躍 [15] 主にチームメンバーの活躍,ありがとう [15] ありがとう,を取ることができたので Top Word Pairs in Tweet in G6:
[3] mint,live [2] behindwoods,mint [2] kadek_arianto7,xtumbasolan [2] xtumbasolan,ferinna21 [2] ferinna21,fawkes_kaggle [2] fawkes_kaggle,koonshop [2] koonshop,bird_camt [2] bird_camt,ns_kl10 [2] ns_kl10,boltharvey [2] boltharvey,imattaguy Top Word Pairs in Tweet in G7:
[105] machine,learning [101] learn,ml [100] need,kaggle [100] kaggle,start [100] start,machine [100] learning,beginner [100] beginner,take [100] take,those [100] those,courses [100] courses,learn Top Word Pairs in Tweet in G8:
[66] netflix,analysis [66] analysis,analysis [66] analysis,python [66] python,packages [66] packages,pandas [66] pandas,mtplotlib [66] mtplotlib,dataset [66] dataset,kaggle [66] kaggle,cc [66] cc,co Top Word Pairs in Tweet in G9:
[35] データを探したい時,googleの [35] googleの,dataset [35] dataset,search [35] search,がとても便利 [35] がとても便利,キーワード検索するだけで [35] キーワード検索するだけで,データセット別に結果が表示されて [35] データセット別に結果が表示されて,通常の検索より遥かに早くデータの場所に行ける [35] 通常の検索より遥かに早くデータの場所に行ける,kaggleのデータとかも拾える [34] ms08170,データを探したい時 [34] kaggleのデータとかも拾える,公開日やフォーマット別に検索も Top Word Pairs in Tweet in G10:
[19] milk,achine [19] achine,ntelligence [19] ntelligence,aunch [19] aunch,nowledge [14] crypto_sisters,milk [13] forensic,time [13] time,scam [9] ziggys76535252,crypto_sisters [9] nowledge,forensic [7] kaggle,google 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 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: