The graph represents a network of 1,188 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, 13 May 2022 at 11:21 UTC.
The requested start date was Friday, 13 May 2022 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 3-day, 5-hour, 26-minute period from Monday, 09 May 2022 at 18:29 UTC to Thursday, 12 May 2022 at 23:56 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 : 1188
Unique Edges : 1016
Edges With Duplicates : 15026
Total Edges : 16042
Number of Edge Types : 5
Retweet : 6951
MentionsInRetweet : 8135
Mentions : 292
Tweet : 654
Replies to : 10
Self-Loops : 722
Reciprocated Vertex Pair Ratio : 0.00345423143350604
Reciprocated Edge Ratio : 0.00688468158347676
Connected Components : 6
Single-Vertex Connected Components : 3
Maximum Vertices in a Connected Component : 1181
Maximum Edges in a Connected Component : 16028
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.356398
Graph Density : 0.00288407807363157
Modularity : 0.15676
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,188 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, 13 May 2022 at 11:21 UTC.
The requested start date was Friday, 13 May 2022 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 3-day, 5-hour, 26-minute period from Monday, 09 May 2022 at 18:29 UTC to Thursday, 12 May 2022 at 23:56 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:
[4184] #bigdata,#analytics [3684] #analytics,#datascience [3446] #datascience,#ai [3391] #ai,#machinelearning [3330] #iot,#iiot [2831] #machinelearning,#iot [2050] #python,#rstats [1708] #iiot,#pytorch [1585] #pytorch,#python [922] #iiot,#python Top Word Pairs in Tweet in G1:
[1180] #bigdata,#analytics [1029] #iot,#iiot [1024] #datascience,#ai [1017] #analytics,#datascience [919] #ai,#machinelearning [743] #machinelearning,#iot [631] #iiot,#pytorch [574] #pytorch,#python [485] #python,#rstats [189] #ai,#iot Top Word Pairs in Tweet in G2:
[2070] #bigdata,#analytics [1757] #analytics,#datascience [1583] #ai,#machinelearning [1500] #datascience,#ai [1439] #iot,#iiot [1320] #machinelearning,#iot [1012] #python,#rstats [642] #iiot,#pytorch [584] #pytorch,#python [476] #iiot,#python Top Word Pairs in Tweet in G3:
[424] #bigdata,#analytics [423] #analytics,#datascience [423] #datascience,#ai [406] #ai,#machinelearning [373] #iot,#iiot [356] #machinelearning,#iot [244] #python,#rstats [177] #iiot,#python [159] #iiot,#pytorch [156] #pytorch,#python Top Word Pairs in Tweet in G4:
[268] #bigdata,#analytics [253] #datascience,#ai [251] #analytics,#datascience [249] #ai,#machinelearning [238] #iot,#iiot [230] #machinelearning,#iot [178] #python,#rstats [177] #iiot,#pytorch [171] #pytorch,#python [77] #rstats,#tensorflow Top Word Pairs in Tweet in G5:
[89] #analytics,#datascience [82] #datascience,#ai [81] #bigdata,#analytics [78] #iot,#iiot [75] #ai,#machinelearning [65] #machinelearning,#iot [44] #python,#rstats [44] swisscognitive,full [44] full,stack [44] stack,#developer Top Word Pairs in Tweet in G6:
[124] #datascience,#ai [120] #ai,#machinelearning [116] #iot,#iiot [110] #bigdata,#analytics [110] #analytics,#datascience [88] #machinelearning,#iot [40] #python,#rstats [39] #bigdata,#datascience [39] #iiot,#pytorch [39] #pytorch,#python Top Word Pairs in Tweet in G7:
[56] #datasecurity,#datascientist [49] #iot,#dataanalytics [49] #dataanalytics,#datavisualization [49] #datavisualization,#ai [49] #ai,#fintech [49] #fintech,#predictions [48] #ai,#datasecurity [35] #datascientist,#dataanalytics [28] key,requirements [28] requirements,use Top Word Pairs in Tweet in G8:
[65] #art,#aiart [64] #aiart,#machinelearning [62] #deeplearning,#mlsogood [57] #machinelearning,#deeplearning [42] #artificialintelligence,#datascience [41] #datascience,#iiot [41] #data,#code [41] #code,#python [41] #python,#bigdata [41] #bigdata,#mlart Top Word Pairs in Tweet in G9:
[9] #machine,change [9] change,world [9] world,construction [9] construction,techinsider [9] techinsider,#futureofwork [9] #futureofwork,#artificialintelligence [9] #artificialintelligence,#ai [9] #ai,#bigdata [7] ronald_vanloon,#machine [3] #iiot,cc Top Word Pairs in Tweet in G10:
[18] #iot,#iiot [7] expan09,itox [6] #machinelearning,#ai [6] internet,things [6] #bigdata,#analytics [5] tbspart,itox [5] growth,#iot [5] #ai,#machinelearning [5] #iiot,#ai [5] #iiot,#pytorch Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: