The graph represents a network of 3,545 Twitter users whose recent tweets contained "datamining", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/12/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 13 March 2023 at 07:51 UTC.
The tweets in the network were tweeted over the 1320-day, 2-hour, 14-minute period from Wednesday, 31 July 2019 at 21:45 UTC to Monday, 13 March 2023 at 00:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 3545
Unique Edges : 1729
Edges With Duplicates : 8294
Total Edges : 10023
Number of Edge Types : 9
Quote : 148
Tweet : 1766
Retweet : 2807
MentionsInRetweet : 3416
Mentions : 372
Replies to : 602
MentionsInReplyTo : 838
MentionsInQuoteReply : 47
MentionsInQuote : 27
Self-Loops : 2165
Reciprocated Vertex Pair Ratio : 0.0319634703196347
Reciprocated Edge Ratio : 0.0619469026548673
Connected Components : 689
Single-Vertex Connected Components : 334
Maximum Vertices in a Connected Component : 1309
Maximum Edges in a Connected Component : 5237
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.851293
Graph Density : 0.000305806989783086
Modularity : 0.393298
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,545 Twitter users whose recent tweets contained "datamining", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/12/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 13 March 2023 at 07:51 UTC.
The tweets in the network were tweeted over the 1320-day, 2-hour, 14-minute period from Wednesday, 31 July 2019 at 21:45 UTC to Monday, 13 March 2023 at 00:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : datamining
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:
[498] #ai,#machinelearning [364] #scraping,#datamining [333] #bulk,#data [287] #selling,#bulk [282] #socialmedia,#scraping [255] discord,datamining [246] 3k,plus [246] #machinelearning,#iot [242] #emailslist,#socialmedia [241] cursortek,#selling Top Word Pairs in Tweet in G1:
[200] rosanaferrero,cómo [138] inferencia,modelado [138] exploración,datos [138] clave,conjunto [138] predictivo,partes [138] datos,inferencia [138] modelado,predictivo [138] limpieza,exploración [138] partes,clave [137] rosanaferrero,limpieza Top Word Pairs in Tweet in G2:
[254] discord,datamining [127] datamining,comment [127] datamining,discord [127] comment,commit [74] data,mining [43] #bigdata,#datascience [37] ##,strings [37] strings,diff [36] diff,# [35] #ai,#datamining Top Word Pairs in Tweet in G3:
[433] #ai,#machinelearning [363] #scraping,#datamining [333] #bulk,#data [287] #selling,#bulk [282] #socialmedia,#scraping [246] 3k,plus [242] #emailslist,#socialmedia [241] cursortek,#selling [240] #restaurants,#leads [240] #hotels,#restaurants Top Word Pairs in Tweet in G4:
[125] assets,pre [125] pre,release [125] datamining,lgbtq [125] takesappalling,datamining [125] lgbtq,assets [124] k_r_a_b_b_y,takesappalling [2] akoraoridanus,takesappalling Top Word Pairs in Tweet in G5:
[81] grimezsz,koto9x [80] evidence,shared [80] profile,co [80] lots,more [80] co,ykqss0kque [80] shared,lots [80] more,evidence [80] more,profile [80] koto9x,more [80] ykqss0kque,co Top Word Pairs in Tweet in G6:
[36] #ai,#machinelearning [34] #iot,#iiot [31] #machinelearning,#iot [31] #datascience,#ai [27] #bigdata,#analytics [27] #analytics,#datascience [21] knowledge,discovery [21] classic,applications [21] recent,book [21] covers,many Top Word Pairs in Tweet in G7:
[46] full,time [45] akter,full [45] fiverr,first [45] freelancer,fiverr [45] #virtualassistant,#webresearch [45] #datamining,#copypaste [45] time,freelancer [45] objective,customer [45] customer,fulfillment [45] sathy,akter Top Word Pairs in Tweet in G8:
[69] patreon,tiers [69] tiers,going [69] behind,patreon [69] kept,behind [69] first,series [69] public,youtube [69] here's,first [69] previously,kept [69] youtube,here's [69] going,public Top Word Pairs in Tweet in G9:
[56] toshi,live [56] datamining,toshi [55] grusdog,datamining [7] miles,sky [7] currently,80 [7] sky,695 [7] over,chicago [7] datamining,40000 [7] right,over [7] currently,datamining Top Word Pairs in Tweet in G10:
[24] data,mining [17] #datascience,#datamining [14] latest,intelliweb4 [14] intelliweb4,future [14] future,branding [13] #bigdata,#datascience [12] data,science [9] science,data [9] intro,analytic [9] thinking,data Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: