The graph represents a network of 6,666 Twitter users whose tweets in the requested range contained ""machine learning"", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 05 February 2022 at 01:07 UTC.
The requested start date was Friday, 04 February 2022 at 01:01 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 2-day, 5-hour, 20-minute period from Tuesday, 01 February 2022 at 19:40 UTC to Friday, 04 February 2022 at 01:00 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 : 6666
Unique Edges : 4869
Edges With Duplicates : 11861
Total Edges : 16730
Number of Edge Types : 5
Tweet : 1989
MentionsInRetweet : 7453
Replies to : 331
Retweet : 5334
Mentions : 1623
Self-Loops : 2088
Reciprocated Vertex Pair Ratio : 0.0164953382739661
Reciprocated Edge Ratio : 0.0324553151458137
Connected Components : 1345
Single-Vertex Connected Components : 638
Maximum Vertices in a Connected Component : 3439
Maximum Edges in a Connected Component : 12214
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.391294
Graph Density : 0.000191406987660506
Modularity : 0.490032
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 6,666 Twitter users whose tweets in the requested range contained "%22machine learning%22", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 05 February 2022 at 01:07 UTC.
The requested start date was Friday, 04 February 2022 at 01:01 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 2-day, 5-hour, 20-minute period from Tuesday, 01 February 2022 at 19:40 UTC to Friday, 04 February 2022 at 01:00 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 : %22machine learning%22
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:
[5579] machine,learning [880] introducing,#alphacode [880] #alphacode,system [880] system,compete [880] compete,average [880] average,human [880] human,level [880] level,competitive [880] competitive,coding [880] coding,competitions Top Word Pairs in Tweet in G1:
[1860] machine,learning [383] data,science [255] #featured,#courses [201] bylilyv,#featured [194] learning,algorithms [189] deep,learning [184] #bigdata,#analytics [176] #courses,machine [170] learning,python [164] #iot,#iiot Top Word Pairs in Tweet in G2:
[855] introducing,#alphacode [855] #alphacode,system [855] system,compete [855] compete,average [855] average,human [855] human,level [855] level,competitive [855] competitive,coding [855] coding,competitions [855] competitions,codeforces Top Word Pairs in Tweet in G3:
[721] machine,learning [64] artificial,intelligence [30] using,machine [28] ai,machine [25] data,science [25] amazon,sagemaker [21] health,care [20] intelligence,machine [20] downside,machine [20] regression,classification Top Word Pairs in Tweet in G4:
[225] machine,learning [53] #ai,#ml [26] #ml,#dl [23] learning,big [23] big,data [22] artificial,machine [21] vayas,tomar [21] tomar,decisión [21] decisión,basada [21] basada,algún Top Word Pairs in Tweet in G5:
[170] machine,learning [74] linear,regression [71] regression,machine [68] argent_codes,linear [68] learning,thread [30] best,way [30] way,grow [30] grow,machine [30] learning,skills [30] skills,build Top Word Pairs in Tweet in G6:
[275] machine,learning [75] data,science [61] driven,machine [61] #swingtradepro,#trading [58] learning,ai [56] system,disrupting [56] disrupting,wall [56] wall,street [56] street,explosive [56] explosive,machine Top Word Pairs in Tweet in G7:
[145] machine,learning [57] 2022,started [57] started,machine [57] learning,setup [57] setup,python [57] python,numpy [57] numpy,pandas [57] pandas,matplotlib [57] matplotlib,seaborn [57] seaborn,opencv Top Word Pairs in Tweet in G8:
[120] شركة,microsoft [120] microsoft,اصدرت [120] اصدرت,كورس [120] كورس,python [120] python,مكون [120] مكون,من [120] من,ثلاثة [120] ثلاثة,مراحل [120] مراحل,للمبتدأ [120] للمبتدأ,و Top Word Pairs in Tweet in G9:
[103] 10,best [103] best,jobs [103] jobs,2022 [103] 2022,paying [103] paying,figs [103] figs,according [103] according,glassdoor [103] glassdoor,enterprise [103] enterprise,architect [103] architect,full Top Word Pairs in Tweet in G10:
[86] machine,learning [34] learning,model [21] asked,yourself [21] yourself,many [21] many,images [21] images,need [21] need,train [21] train,good [21] good,enough [21] enough,machine Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: