The graph represents a network of 1,064 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, 06 November 2020 at 12:17 UTC.
The requested start date was Friday, 06 November 2020 at 01:01 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, 6-hour, 8-minute period from Tuesday, 03 November 2020 at 05:53 UTC to Thursday, 05 November 2020 at 12:02 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 : 1064
Unique Edges : 1434
Edges With Duplicates : 16149
Total Edges : 17583
Number of Edge Types : 5
Retweet : 7094
MentionsInRetweet : 9638
Mentions : 453
Tweet : 397
Replies to : 1
Self-Loops : 515
Reciprocated Vertex Pair Ratio : 0.00782433114588592
Reciprocated Edge Ratio : 0.0155271725519659
Connected Components : 10
Single-Vertex Connected Components : 6
Maximum Vertices in a Connected Component : 1050
Maximum Edges in a Connected Component : 17565
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.000414
Graph Density : 0.00353040409113093
Modularity : 0.132215
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 1,064 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, 06 November 2020 at 12:17 UTC.
The requested start date was Friday, 06 November 2020 at 01:01 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, 6-hour, 8-minute period from Tuesday, 03 November 2020 at 05:53 UTC to Thursday, 05 November 2020 at 12:02 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:
[3669] #bigdata,#analytics [3546] #iot,#iiot [3201] #analytics,#datascience [3105] #datascience,#ai [2910] #ai,#machinelearning [2338] #machinelearning,#iot [1468] #iiot,#python [1279] #python,#rstats [789] #rstats,#reactjs [775] #analytics,#ai Top Word Pairs in Tweet in G1:
[620] #iot,#iiot [587] #bigdata,#analytics [579] #datascience,#ai [524] #analytics,#datascience [504] #ai,#machinelearning [393] #machinelearning,#iot [225] #iiot,#python [214] #bigdata,#datascience [203] #python,#rstats [144] data,science Top Word Pairs in Tweet in G2:
[678] #bigdata,#analytics [609] #analytics,#datascience [601] #datascience,#ai [561] #iot,#iiot [530] #ai,#machinelearning [487] #machinelearning,#iot [350] #python,#rstats [349] #iiot,#python [124] #iiot,#pytorch [123] #pytorch,#python Top Word Pairs in Tweet in G3:
[2227] #bigdata,#analytics [2013] #iot,#iiot [1888] #analytics,#datascience [1755] #datascience,#ai [1695] #ai,#machinelearning [1343] #machinelearning,#iot [820] #iiot,#python [663] #python,#rstats [559] #analytics,#ai [537] #rstats,#reactjs Top Word Pairs in Tweet in G4:
[128] #iot,#iiot [105] #bigdata,#analytics [95] #analytics,#datascience [91] #datascience,#ai [77] #ai,#machinelearning [63] ingliguori,#digitaltransformation [59] #iiot,#iotpl [50] #machinelearning,#iot [49] #machinelearning,#bigdata [49] #machinelearning,#ml Top Word Pairs in Tweet in G5:
[158] #iot,#iiot [151] #rstats,#reactjs [102] #reactjs,#iot [71] #javascript,#rstats [68] #machinelearning,#ai [67] #ai,#javascript [65] #analytics,#machinelearning [58] #analytics,#ai [58] #ai,#machinelearning [35] #ai,#rstats Top Word Pairs in Tweet in G6:
[38] #iot,#iiot [35] #bigdata,#analytics [27] #datascience,#ai [22] #analytics,#datascience [22] #ai,#machinelearning [19] #analytics,#ai [17] #datascience,#machinelearning [17] #machinelearning,#iot [15] learn,python [15] python,one Top Word Pairs in Tweet in G7:
[41] #deeplearning,#analytics [35] #analytics,#datascience [25] #iot,#iiot [22] #datascience,#ai [22] #ai,#machinelearning [22] #machinelearning,#iot [20] #python,#rstats [19] #iiot,#python [18] #rstats,#cloudcomputing [18] #cloudcomputing,#serverless Top Word Pairs in Tweet in G8:
[3] apache,spark [2] microsoft,brings [2] brings,net [2] net,dev [2] dev,apache [2] spark,microsoft [2] microsoft,net [2] net,foundation [2] foundation,released [2] released,version Top Word Pairs in Tweet in G9:
[3] wrong,#ai [3] #ai,devices [3] devices,preventing [3] preventing,#covid19 [3] #covid19,altoros [3] altoros,#digitaltransformation [2] sudeepkumarpat9,wrong [2] #digitaltransformation,#mach Top Word Pairs in Tweet in G10:
[2] helpful,chart [2] chart,showing [2] showing,relationship [2] relationship,between [2] between,#ai [2] #ai,#ml [2] #ml,#deeplearning [2] #deeplearning,#bigdata Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: