The graph represents a network of 3,344 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 2/12/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 13 February 2023 at 07:50 UTC.
The tweets in the network were tweeted over the 2937-day, 1-hour, 30-minute period from Wednesday, 28 January 2015 at 23:18 UTC to Monday, 13 February 2023 at 00:49 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 : 3344
Unique Edges : 1451
Edges With Duplicates : 8234
Total Edges : 9685
Number of Edge Types : 9
Quote : 102
Mentions : 439
Replies to : 643
MentionsInReplyTo : 875
Tweet : 1995
Retweet : 2593
MentionsInRetweet : 2976
MentionsInQuoteReply : 39
MentionsInQuote : 23
Self-Loops : 2410
Reciprocated Vertex Pair Ratio : 0.0407307577118898
Reciprocated Edge Ratio : 0.078273381294964
Connected Components : 709
Single-Vertex Connected Components : 344
Maximum Vertices in a Connected Component : 1543
Maximum Edges in a Connected Component : 5893
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.447036
Graph Density : 0.000310850924662975
Modularity : 0.363785
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,344 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 2/12/2023 5:00:35 PM. The network was obtained from Twitter on Monday, 13 February 2023 at 07:50 UTC.
The tweets in the network were tweeted over the 2937-day, 1-hour, 30-minute period from Wednesday, 28 January 2015 at 23:18 UTC to Monday, 13 February 2023 at 00:49 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:
[633] #bigdata,#datascience [508] feature,female [508] saw,someone [508] first,souls [508] ii,technically [508] character,cover [508] someone,point [508] souls,game [508] technically,first [508] dark,souls Top Word Pairs in Tweet in G1:
[506] feature,female [506] first,souls [506] dark,souls [506] souls,ii [506] character,cover [506] game,feature [506] female,character [506] ii,technically [506] souls,game [506] saw,someone Top Word Pairs in Tweet in G2:
[327] #bigdata,#datascience [264] #datascience,#ai [260] kirkdborne,see [259] books,things [259] see,favorite [259] favorite,books [259] things,covering [259] covering,#bigdata [259] #ai,#bots [257] #bots,#machinelearnin Top Word Pairs in Tweet in G3:
[101] data,entry [73] #dataentry,#webresearch [71] web,research [66] #copypaste,#datascraping [66] more,info [65] mining,web [64] #business,#datascraper [64] #copyright,#datacollection [64] scraping,mining [64] #datascraping,more Top Word Pairs in Tweet in G4:
[257] #ai,#machinelearning [240] #bigdata,#datascience [120] scratch,#bigdata [120] gmail,#machinelearning [120] #machinelearning,scratch [120] recover,gmail [120] dm,recover [102] #ai,#datamining [101] #datascience,#statistics [99] #algorithms,#neuralnetworks Top Word Pairs in Tweet in G5:
[35] الصغيرة,والمتوسطة [34] المؤسسات,الصغيرة [33] تنمية,المؤسسات [33] هيئة,تنمية [32] الامتياز,التجاري [27] في,برنامج [22] إدارة,هيئة [22] تزامنا,مع [22] رسوم,تزامنا [22] #مهرجان_المغامرات_الصحراوية,تعلن Top Word Pairs in Tweet in G6:
[60] patch,10 [36] 10,ptr [27] additional,paladin [27] paladin,spells [27] spells,patch [27] wowhead,datamining [27] mobility,ability [27] datamining,found [27] ptr,include [27] found,additional Top Word Pairs in Tweet in G7:
[65] kart_tour,datamining [41] week,going [41] spotlight,#mariokarttour [41] spotlight,thanks [41] #mariokarttour,week [41] datamining,spotlight [41] going,spotlight [39] thanks,koopav [27] tour,despite [27] crawly,kart Top Word Pairs in Tweet in G8:
[82] #datavisualization,#datascience [82] #bioinformatics,#datavisualization [73] #datascience,#programmer [37] #programmer,#programming [34] #programming,#ai [31] #ai,#deeplearning [30] #100daysofcode,#dataanalytics [30] #dataanalytics,#neuralnetwork [30] #neuralnetwork,#python [30] #ml,#softwareengineering Top Word Pairs in Tweet in G9:
[28] data,entry [24] #dataentry,#internetresearch [24] #internetresearch,#copypaste [24] #copypaste,#datamining [20] professional,data [20] #datamining,#datacleaning [17] perfectly,please [17] hire,done [17] thanks,#dataentry [17] done,jobs Top Word Pairs in Tweet in G10:
[18] datos,cómo [18] ciencia,datos [18] nace,cuáles [18] cómo,nace [18] cuáles,aplicaciones [18] aplicaciones,cuento [17] rosanaferrero,ciencia [16] redes,sociales [16] laboral,pruebas [16] correlación,pasas Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G9:
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: