The graph represents a network of 4,664 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, 01 August 2020 at 00:06 UTC.
The requested start date was Friday, 31 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 8-hour, 40-minute period from Tuesday, 28 July 2020 at 20:25 UTC to Thursday, 30 July 2020 at 05:05 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 : 4664
Unique Edges : 2938
Edges With Duplicates : 7559
Total Edges : 10497
Number of Edge Types : 5
Retweet : 3320
MentionsInRetweet : 4178
Tweet : 1551
Mentions : 1179
Replies to : 269
Self-Loops : 1589
Reciprocated Vertex Pair Ratio : 0.0151783954267692
Reciprocated Edge Ratio : 0.0299029126213592
Connected Components : 1072
Single-Vertex Connected Components : 520
Maximum Vertices in a Connected Component : 2198
Maximum Edges in a Connected Component : 7093
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 5.231769
Graph Density : 0.000236800858111133
Modularity : 0.480704
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 4,664 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, 01 August 2020 at 00:06 UTC.
The requested start date was Friday, 31 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 8-hour, 40-minute period from Tuesday, 28 July 2020 at 20:25 UTC to Thursday, 30 July 2020 at 05:05 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:
[3503] machine,learning [210] data,science [192] #analytics,#datascience [191] #bigdata,#analytics [172] #datascience,#ai [161] #ai,#machinelearning [137] artificial,intelligence [117] ai,machine [115] very,excited [115] #iot,#iiot Top Word Pairs in Tweet in G1:
[1016] machine,learning [192] #analytics,#datascience [191] #bigdata,#analytics [171] #datascience,#ai [141] #ai,#machinelearning [115] #iot,#iiot [89] data,science [86] #python,#rstats [72] #iiot,#python [71] learning,#machinelearning Top Word Pairs in Tweet in G2:
[537] machine,learning [30] artificial,intelligence [20] learning,algorithms [19] data,science [18] ai,machine [18] learning,python [18] intelligence,machine [17] using,machine [15] amazon,fraud [14] fraud,detector Top Word Pairs in Tweet in G3:
[128] machine,learning [20] increase,expertise [20] expertise,machine [20] learning,foundational [20] foundational,understanding [20] understanding,bayesian [20] bayesian,statistics [19] kdnuggets,increase [17] learning,model [15] tour,end Top Word Pairs in Tweet in G4:
[100] records,six [100] six,eight [99] very,excited [99] excited,see [99] see,mlperf [99] mlperf,results [99] results,released [99] released,today [99] today,google [99] google,tpus Top Word Pairs in Tweet in G5:
[90] 2016,working [90] working,machine [90] machine,translation [90] translation,took [90] took,more [90] more,week [90] week,multi [90] multi,gpu [90] gpu,machine [90] machine,train Top Word Pairs in Tweet in G6:
[90] machine,learning [54] learning,roadmap [49] beautiful,chart [49] chart,demonstrating [49] demonstrating,potential [49] potential,machine [49] roadmap,ml [49] ml,engineers [49] engineers,includes [49] includes,technologies Top Word Pairs in Tweet in G7:
[64] kazunori_279,google [64] google,4096個 [64] 4096個,8192コア [64] 8192コア,のtpu [64] のtpu,v3を搭載したaiスパコンで430pflopsを達成 [64] v3を搭載したaiスパコンで430pflopsを達成,mlperfの世界記録を更新 [64] mlperfの世界記録を更新,また単体性能が2 [64] また単体性能が2,7倍のtpu [64] 7倍のtpu,v4も新たに登場 [64] v4も新たに登場,#gcpja Top Word Pairs in Tweet in G8:
[65] machine,learning [24] frontiers,machine [21] learning,event [12] videos,2020 [12] 2020,frontiers [12] event,available [12] available,demand [12] demand,watch [12] watch,sessions [12] sessions,theory Top Word Pairs in Tweet in G9:
[14] machine,learning [7] climate,modelers [7] modelers,massive [7] massive,energy [7] energy,required [7] required,supercomputers [7] supercomputers,analyze [7] analyze,data [7] data,colors [7] colors,allow Top Word Pairs in Tweet in G10:
[20] machine,learning [13] whole,thread [13] thread,archived [13] archived,required [13] required,reading [13] reading,uni [13] uni,program [13] program,data [13] data,science [13] science,training Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
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:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: