The graph represents a network of 3,129 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 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 07:49 UTC.
The tweets in the network were tweeted over the 2707-day, 1-hour, 15-minute period from Tuesday, 18 August 2015 at 23:30 UTC to Monday, 16 January 2023 at 00:46 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 : 3129
Unique Edges : 986
Edges With Duplicates : 8390
Total Edges : 9376
Number of Edge Types : 9
Retweet : 3019
MentionsInRetweet : 3408
Replies to : 352
MentionsInReplyTo : 449
Tweet : 1753
Quote : 64
Mentions : 276
MentionsInQuote : 53
MentionsInQuoteReply : 2
Self-Loops : 2071
Reciprocated Vertex Pair Ratio : 0.0234350909651557
Reciprocated Edge Ratio : 0.0457969267851763
Connected Components : 474
Single-Vertex Connected Components : 227
Maximum Vertices in a Connected Component : 1875
Maximum Edges in a Connected Component : 7008
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.340334
Graph Density : 0.000339105586792639
Modularity : 0.335206
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 3,129 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 1/15/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 16 January 2023 at 07:49 UTC.
The tweets in the network were tweeted over the 2707-day, 1-hour, 15-minute period from Tuesday, 18 August 2015 at 23:30 UTC to Monday, 16 January 2023 at 00:46 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:
[585] #bigdata,#ai [496] #ai,#machinelearning [450] rosanaferrero,quieres [440] #machinelearning,#deeplearning [419] #datascientists,#python [419] #rstats,#dataviz [418] #deeplearning,#statistics [417] #statistics,#datascientists [413] #datamining,#dataliteracy [412] #python,#datamining Top Word Pairs in Tweet in G1:
[416] rosanaferrero,quieres [355] quieres,aprender [352] preciosos,tienes [352] crear,mapas [352] mapas,útiles [352] tutoriales,necesitas [352] tienes,tutoriales [352] aprender,crear [352] útiles,preciosos [243] tus,datos Top Word Pairs in Tweet in G2:
[558] #bigdata,#ai [480] #ai,#machinelearning [421] #machinelearning,#deeplearning [413] #datascientists,#python [413] #deeplearning,#statistics [413] #statistics,#datascientists [409] #datamining,#dataliteracy [409] #rstats,#dataviz [409] #dataliteracy,#rstats [409] #python,#datamining Top Word Pairs in Tweet in G3:
[82] discord,datamining [42] datamining,discord [41] datamining,comment [41] comment,commit [29] data,mining [28] #bigdata,#datascience [22] data,entry [21] #machinelearning,scratch [21] dm,recover [21] recover,gmail Top Word Pairs in Tweet in G4:
[72] believe,#7 [72] don,really [72] beginners,don [72] #datascience,interview [72] really,believe [72] top,19 [72] 19,#datascience [72] interview,questions [72] questions,beginners [71] #7,actually Top Word Pairs in Tweet in G5:
[93] crear,gráficos [92] necesitas,crear [90] visualización,datos [90] tienes,material [90] datos,ggplot2 [90] taller,visualización [90] material,necesitas [90] ggplot2,tienes [89] _sevillar,taller [89] gráficos,espectacul Top Word Pairs in Tweet in G6:
[110] version,hadleywickham [110] 's,book [110] hadleywickham,'s [110] online,version [110] check,online [108] rmarkdown,check [77] currently,early [77] mastering,shiny [77] early,development [77] shiny,currently Top Word Pairs in Tweet in G7:
[77] t1,integration [77] integration,group [77] technoserv,t1 [77] approximately,tb [77] tb,files [77] files,technoserv [70] #ddosecrets,published [70] #oprussia,#ddosecrets [70] published,approximately [70] group,russian Top Word Pairs in Tweet in G8:
[67] github,datamining [67] matsko3,github [67] thank,matsko3 [67] saovs,artworks [67] pretty,thank [67] artworks,pretty [66] asunastaciasama,saovs Top Word Pairs in Tweet in G9:
[13] predictions,enterprise [13] 14,data [13] growth,2023 [13] data,predictions [13] enterprise,growth [12] data_science_school,#data [12] #datascience,#datamining [12] #bigdata,#datascience [12] 2023,#bigdata [12] key,components Top Word Pairs in Tweet in G10:
[10] #ai,#python [9] liguori,looking [9] computing,services [9] more,information [9] #datagovernance,cloud [9] #python,#serverless [9] giuliano,liguori [9] #infographic,#datagovernance [9] services,giuliano [9] looking,more Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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: