The graph represents a network of 4,519 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, 07 December 2019 at 20:29 UTC.
The requested start date was Saturday, 07 December 2019 at 01:01 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, 9-hour, 24-minute period from Thursday, 28 November 2019 at 23:26 UTC to Saturday, 30 November 2019 at 08:50 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 : 4519
Unique Edges : 5599
Edges With Duplicates : 1593
Total Edges : 7192
Number of Edge Types : 3
Mentions : 5147
Tweet : 1878
Replies to : 167
Self-Loops : 1878
Reciprocated Vertex Pair Ratio : 0.0151196976060479
Reciprocated Edge Ratio : 0.0297889946214315
Connected Components : 1181
Single-Vertex Connected Components : 661
Maximum Vertices in a Connected Component : 2089
Maximum Edges in a Connected Component : 4560
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.345692
Graph Density : 0.000236765313656245
Modularity : 0.658767
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,519 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, 07 December 2019 at 20:29 UTC.
The requested start date was Saturday, 07 December 2019 at 01:01 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, 9-hour, 24-minute period from Thursday, 28 November 2019 at 23:26 UTC to Saturday, 30 November 2019 at 08:50 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:
[3855] machine,learning [304] artificial,intelligence [246] data,science [211] ai,machine [194] #ai,#machinelearning [162] #datascience,#ai [146] learning,models [137] deep,learning [135] #machinelearning,#ai [134] learning,algorithm Top Word Pairs in Tweet in G1:
[659] machine,learning [32] artificial,intelligence [30] ai,machine [28] learning,algorithm [28] deep,learning [27] alibaba,cloud [25] using,machine [22] data,science [18] learning,ai [18] algorithm,github Top Word Pairs in Tweet in G2:
[737] machine,learning [118] data,science [82] artificial,intelligence [72] read,more [70] #machinelearning,#ai [66] #datascience,#ai [53] #ai,#machinelearning [50] granvilledsc,datasciencectrl [50] science,machine [45] download,free Top Word Pairs in Tweet in G3:
[198] machine,learning [57] artificial,intelligence [30] intelligence,machine [29] data,scientists [27] before,machine [27] learning,strategies [27] strategies,implemented [27] implemented,data [27] scientists,quantitative [27] quantitative,researchers Top Word Pairs in Tweet in G4:
[308] machine,learning [80] #bigdata,#analytics [79] #datascience,#ai [73] #analytics,#datascience [73] #ai,#machinelearning [50] #machinelearning,#iot [45] #iot,#iiot [40] #python,#programming [35] deep,learning [27] #machinelearning,#ad Top Word Pairs in Tweet in G5:
[100] machine,learning [31] driver,executor [31] executor,publisher [31] publisher,next [31] next,world [31] world,machine [31] learning,production [31] production,robert_crowe [31] robert_crowe,gives [31] gives,breakdown Top Word Pairs in Tweet in G6:
[74] machine,learning [25] awscloud,looking [17] looking,inspired [17] inspired,empowered [17] empowered,books [17] books,whitepapers [17] whitepapers,designed [17] designed,visit [17] visit,aws [17] aws,data Top Word Pairs in Tweet in G7:
[77] machine,learning [29] #ai,#ml [28] emails,funny [28] funny,dear [28] dear,3blue1brown [28] 3blue1brown,lt [28] lt,intro [28] intro,gt [28] gt,understand [28] understand,sponsored Top Word Pairs in Tweet in G8:
[69] machine,learning [61] learning,models [50] models,permit [50] permit,surprisingly [50] surprisingly,detailed [50] detailed,inferences [50] inferences,data [50] data,used [50] used,train [50] train,creates Top Word Pairs in Tweet in G9:
[62] discover,healthcare [62] healthcare,industry [62] industry,taking [62] taking,advantage [62] advantage,aws [62] aws,high [62] high,volume [62] volume,data [62] data,storage [62] storage,processing Top Word Pairs in Tweet in G10:
[66] machine,learning [15] learning,models [13] kalman,filters [13] filters,compared [13] compared,machine [13] models,take [13] take,input [13] input,data [13] data,perform [13] perform,calculations Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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