The graph represents a network of 1,107 Twitter users whose tweets in the requested range contained "iiot machinelearning", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 14 August 2020 at 10:37 UTC.
The requested start date was Friday, 14 August 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 2-day, 20-hour, 32-minute period from Tuesday, 11 August 2020 at 02:56 UTC to Thursday, 13 August 2020 at 23:28 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 : 1107
Unique Edges : 944
Edges With Duplicates : 15385
Total Edges : 16329
Number of Edge Types : 5
Retweet : 7096
MentionsInRetweet : 8451
Mentions : 345
Replies to : 3
Tweet : 434
Self-Loops : 503
Reciprocated Vertex Pair Ratio : 0.00862812769628991
Reciprocated Edge Ratio : 0.0171086398631309
Connected Components : 9
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 1096
Maximum Edges in a Connected Component : 16316
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.194719
Graph Density : 0.00286439573256492
Modularity : 0.140212
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 1,107 Twitter users whose tweets in the requested range contained "iiot machinelearning", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 14 August 2020 at 10:37 UTC.
The requested start date was Friday, 14 August 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 2-day, 20-hour, 32-minute period from Tuesday, 11 August 2020 at 02:56 UTC to Thursday, 13 August 2020 at 23:28 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 : iiot 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[4743] #bigdata,#analytics [4591] #analytics,#datascience [4280] #datascience,#ai [4064] #iot,#iiot [3257] #ai,#machinelearning [2855] #machinelearning,#iot [2258] #iiot,#python [1487] #python,#rstats [1032] #ai,#iot [605] machine,learning Top Word Pairs in Tweet in G1:
[2940] #bigdata,#analytics [2849] #analytics,#datascience [2544] #datascience,#ai [2410] #iot,#iiot [1927] #ai,#machinelearning [1701] #machinelearning,#iot [1462] #iiot,#python [991] #python,#rstats [669] #ai,#iot [333] #algorithms,#bigdata Top Word Pairs in Tweet in G2:
[642] #bigdata,#analytics [592] #analytics,#datascience [580] #datascience,#ai [539] #iot,#iiot [476] #ai,#machinelearning [460] #machinelearning,#iot [294] #iiot,#python [173] #python,#rstats [93] gp_pulipaka,top [89] 2020,#bigdata Top Word Pairs in Tweet in G3:
[976] #bigdata,#analytics [963] #analytics,#datascience [923] #datascience,#ai [853] #iot,#iiot [668] #ai,#machinelearning [558] #machinelearning,#iot [426] #iiot,#python [274] #python,#rstats [233] #ai,#iot [203] machine,learning Top Word Pairs in Tweet in G4:
[174] #iot,#iiot [160] #iiot,#iotpl [141] #datascience,#ai [115] #ai,#machinelearning [113] #bigdata,#datascience [93] #analytics,#datascience [90] #bigdata,#analytics [73] #machinelearning,#iot [44] #ai,#bigdata [34] #iiot,#python Top Word Pairs in Tweet in G5:
[56] #bigdata,#analytics [52] #analytics,#datascience [51] #datascience,#ai [45] #iot,#iiot [39] #ai,#machinelearning [37] #machinelearning,#iot [34] 12,steps [34] steps,build [34] build,first [34] first,#mobileapp Top Word Pairs in Tweet in G6:
[35] #analytics,#datascience [35] #iot,#iiot [34] #datascience,#ai [33] #bigdata,#analytics [25] #ai,#machinelearning [24] telehealth,infection [24] infection,control [24] control,#5g [24] #5g,edge [24] edge,#iot Top Word Pairs in Tweet in G7:
[9] create,private [9] private,public [8] smart,buses [8] buses,trains [8] trains,cars [8] cars,planes [8] planes,iot [8] iot,create [8] public,smart [8] smart,transportation Top Word Pairs in Tweet in G8:
[9] aspenworldwide,#startups [8] #startups,seeking [8] seeking,early [8] early,stage [8] stage,#funding [8] #funding,ve [8] ve,seen [8] seen,surge [8] surge,interest [8] interest,#venturecapital Top Word Pairs in Tweet in G9:
[2] learn,maximize [2] maximize,quality [2] quality,output [2] output,prescriptive [2] prescriptive,performance [2] performance,leveraging [2] leveraging,#machinelearning [2] #machinelearning,applications Top Replied-To in Entire Graph:
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Top Replied-To in G5:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: