The graph represents a network of 1,725 Twitter users whose tweets in the requested range contained "iot machinelearning", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 09 November 2019 at 18:47 UTC.
The requested start date was Wednesday, 06 November 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 1-day, 22-hour, 24-minute period from Monday, 04 November 2019 at 02:36 UTC to Wednesday, 06 November 2019 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 : 1725
Unique Edges : 3733
Edges With Duplicates : 3885
Total Edges : 7618
Number of Edge Types : 3
Mentions : 6689
Tweet : 909
Replies to : 20
Self-Loops : 909
Reciprocated Vertex Pair Ratio : 0.0157630761882016
Reciprocated Edge Ratio : 0.0310369151187397
Connected Components : 108
Single-Vertex Connected Components : 66
Maximum Vertices in a Connected Component : 1536
Maximum Edges in a Connected Component : 7402
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.497552
Graph Density : 0.00143010861158748
Modularity : 0.365572
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,725 Twitter users whose tweets in the requested range contained "iot machinelearning", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 09 November 2019 at 18:47 UTC.
The requested start date was Wednesday, 06 November 2019 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 1-day, 22-hour, 24-minute period from Monday, 04 November 2019 at 02:36 UTC to Wednesday, 06 November 2019 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 : iot machinelearning
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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2098] gt,gt [1242] #bigdata,#analytics [1180] #ai,#machinelearning [1053] #datascience,#ai [924] #analytics,#datascience [845] #machinelearning,#iot [755] #ai,#iot [669] #iot,#iiot [463] artificial,intelligence [437] mikequindazzi,gt Top Word Pairs in Tweet in G1:
[433] gt,gt [374] #ai,#iot [368] artificial,intelligence [337] read,more [327] more,here [262] #ai,#machinelearning [259] #bigdata,#analytics [250] #iot,#bigdata [215] #machinelearning,#iot [207] #datascience,#machinelearning Top Word Pairs in Tweet in G2:
[1390] gt,gt [304] mikequindazzi,gt [176] #ai,#iot [161] mikequindazzi,#ai [134] #machinelearning,#ai [116] #datascience,#machinelearning [113] #robotics,#datascience [111] gt,#robotics [107] gt,wef [106] wef,mikequindazzi Top Word Pairs in Tweet in G3:
[167] #ai,#machinelearning [147] #bigdata,#analytics [138] gt,gt [134] #datascience,#ai [120] #machinelearning,#iot [117] #analytics,#datascience [89] #iot,#iiot [67] #ai,#iot [35] #iot,#bigdata [35] #bigdata,#machinelearning Top Word Pairs in Tweet in G4:
[764] #bigdata,#analytics [693] #datascience,#ai [631] #ai,#machinelearning [608] #analytics,#datascience [448] #machinelearning,#iot [412] #iot,#iiot [182] #iiot,#pytorch [110] #pytorch,#python [93] #python,#rstats [86] machine,learning Top Word Pairs in Tweet in G5:
[38] read,more [23] #ai,#iot [20] amazon,asked [17] ronald_vanloon,amazon [16] #iot,#bigdata [16] mattjenningssap,sap [15] customer,experience [14] gt,gt [14] ronald_vanloon,getdotbot [13] experience,ronald_vanloon Top Word Pairs in Tweet in G6:
[47] #iot,#bigdata [37] infographic,#iot [34] four,new [34] new,rules [34] rules,digital [34] digital,business [34] business,infographic [34] #bigdata,#fintech [31] #fintech,#sales [31] #sales,#apis Top Word Pairs in Tweet in G7:
[153] â,ï [32] à,à [27] ð,ð [12] ï,#machinelearning [11] ï,#robotics [11] #robotics,â [11] ï,#data [11] #data,â [11] ï,#datascience [11] #datascience,â Top Word Pairs in Tweet in G8:
[36] gt,gt [17] machine,learning [10] â,ï [10] #ai,#iot [9] read,more [9] more,here [8] ï,â [8] mikequindazzi,gt [7] georam72,smarkus [7] smarkus,soundbuy Top Word Pairs in Tweet in G9:
[16] #ai,#machinelearning [13] #bigdata,#analytics [12] read,more [12] more,here [11] #tech,#technology [11] #technology,#innovation [11] #datascience,#ai [10] #ai,#ki [10] #ki,#iot [10] #iot,#robots Top Word Pairs in Tweet in G10:
[23] top,3 [23] 3,business [23] business,technology [23] technology,trends [23] trends,1 [23] 1,#cloud [23] #cloud,2 [23] 2,#iot [23] #iot,3 [23] 3,#ai Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G5:
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Top Mentioned in G7:
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 G3:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: