The graph represents a network of 13,449 Twitter users whose recent tweets contained ""machine learning"", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 25 June 2022 at 07:46 UTC.
The tweets in the network were tweeted over the 2-day, 16-hour, 3-minute period from Wednesday, 22 June 2022 at 14:05 UTC to Saturday, 25 June 2022 at 06:08 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 : 13449
Unique Edges : 21907
Edges With Duplicates : 7816
Total Edges : 29723
Number of Edge Types : 5
Retweet : 11799
MentionsInRetweet : 8920
Tweet : 5006
Replies to : 841
Mentions : 3157
Self-Loops : 5188
Reciprocated Vertex Pair Ratio : 0.0231736816642477
Reciprocated Edge Ratio : 0.0452976500070925
Connected Components : 2929
Single-Vertex Connected Components : 1650
Maximum Vertices in a Connected Component : 7426
Maximum Edges in a Connected Component : 22104
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.150925
Graph Density : 0.000116934360042338
Modularity : 0.64474
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 13,449 Twitter users whose recent tweets contained ""machine learning"", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 25 June 2022 at 07:46 UTC.
The tweets in the network were tweeted over the 2-day, 16-hour, 3-minute period from Wednesday, 22 June 2022 at 14:05 UTC to Saturday, 25 June 2022 at 06:08 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 : TwitterSearch
Graph Term : "machine learning"
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:
[16153] machine,learning [1400] #bigdata,#analytics [1376] #coding,#100daysofcode [1345] #iot,#iiot [1317] #datascience,#ai [1308] #programming,#coding [1305] #rstats,#tensorflow [1275] #javascript,#reactjs [1223] #analytics,#datascience [1222] #cloudcomputing,#serverless Top Word Pairs in Tweet in G1:
[2067] machine,learning [122] using,machine [111] artificial,intelligence [100] ai,machine [81] learning,systems [76] learning,ai [70] mlops,blog [70] blog,series [70] series,part [70] secure,machine Top Word Pairs in Tweet in G2:
[3792] machine,learning [1000] #bigdata,#analytics [982] #coding,#100daysofcode [952] #datascience,#ai [948] #iot,#iiot [916] #programming,#coding [915] #rstats,#tensorflow [885] #javascript,#reactjs [870] #python,#rstats [849] #analytics,#datascience Top Word Pairs in Tweet in G3:
[916] machine,learning [347] #coding,#100daysofcode [346] #bigdata,#analytics [342] #programming,#coding [341] #iot,#iiot [341] #javascript,#reactjs [341] #cloudcomputing,#serverless [339] #rstats,#tensorflow [337] #serverless,#datascientist [337] #datascientist,#linux Top Word Pairs in Tweet in G4:
[751] machine,learning [388] aws,ml [267] data,science [204] learning,engineer [201] aws,machine [200] science,machine [196] july,21 [196] ml,engineer [195] top,325 [195] engineer,nanodegree Top Word Pairs in Tweet in G5:
[605] machine,learning [516] mega,hilo [516] hilo,libros [516] libros,ciencia [516] ciencia,datos [396] puesta,producción [394] datos,departamento [394] departamento,algunos [394] algunos,míos [394] míos,pareja Top Word Pairs in Tweet in G6:
[497] machine,learning [192] python,ai [192] ai,machine [190] seven,google [190] google,chrome [190] chrome,extensions [190] extensions,internet [190] internet,boost [190] boost,productivity [190] productivity,10x Top Word Pairs in Tweet in G7:
[403] machine,learning [403] learning,model [401] giveaway,moving [401] moving,onto [401] onto,undervalued [401] undervalued,u23 [401] u23,midfielders [401] midfielders,identified [401] identified,machine [401] model,first Top Word Pairs in Tweet in G8:
[295] machine,learning [74] need,kaggle [74] kaggle,start [74] start,machine [74] learning,beginner [74] beginner,take [74] take,those [74] those,courses [74] courses,learn [74] learn,ml Top Word Pairs in Tweet in G9:
[232] machine,learning [147] four,times [54] brb,adding [54] adding,clause [54] clause,calling [54] calling,fuck [54] fuck,machine [54] learning,fml [54] fml,license [49] times,witnessed Top Word Pairs in Tweet in G10:
[282] machine,learning [144] artificial,intelligence [144] intelligence,machine [138] meet,ronald [138] ronald,katamba [138] katamba,together [138] together,team [138] team,started [138] started,jaguza_app [138] jaguza_app,uses Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G8:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: