The graph represents a network of 1,232 Twitter users whose tweets in the requested range contained "iiot bigdata", 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 10:59 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, 0-hour, 14-minute period from Monday, 09 May 2022 at 23:41 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 : 1232
Unique Edges : 1351
Edges With Duplicates : 15083
Total Edges : 16434
Number of Edge Types : 5
Retweet : 6939
MentionsInRetweet : 8534
Mentions : 344
Tweet : 605
Replies to : 12
Self-Loops : 679
Reciprocated Vertex Pair Ratio : 0.00427927927927928
Reciprocated Edge Ratio : 0.00852209015474322
Connected Components : 15
Single-Vertex Connected Components : 11
Maximum Vertices in a Connected Component : 1208
Maximum Edges in a Connected Component : 16384
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.31356
Graph Density : 0.00294014474558748
Modularity : 0.170315
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,232 Twitter users whose tweets in the requested range contained "iiot bigdata", 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 10:59 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, 0-hour, 14-minute period from Monday, 09 May 2022 at 23:41 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 bigdata
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:
[4507] #bigdata,#analytics [3736] #analytics,#datascience [3451] #iot,#iiot [3038] #datascience,#ai [2928] #ai,#machinelearning [2503] #machinelearning,#iot [2298] #python,#rstats [2064] #iiot,#pytorch [1801] #pytorch,#python [944] #iiot,#python Top Word Pairs in Tweet in G1:
[2193] #bigdata,#analytics [1769] #analytics,#datascience [1414] #iot,#iiot [1367] #ai,#machinelearning [1337] #datascience,#ai [1158] #machinelearning,#iot [1042] #python,#rstats [727] #iiot,#pytorch [642] #pytorch,#python [468] #iiot,#python Top Word Pairs in Tweet in G2:
[1114] #bigdata,#analytics [952] #iot,#iiot [847] #analytics,#datascience [808] #datascience,#ai [713] #ai,#machinelearning [674] #iiot,#pytorch [588] #machinelearning,#iot [526] #pytorch,#python [509] #python,#rstats [206] #python,#bigdata Top Word Pairs in Tweet in G3:
[604] #bigdata,#analytics [600] #analytics,#datascience [521] #iot,#iiot [487] #datascience,#ai [473] #ai,#machinelearning [413] #machinelearning,#iot [329] #python,#rstats [234] #iiot,#python [231] #iiot,#pytorch [228] #pytorch,#python Top Word Pairs in Tweet in G4:
[301] #bigdata,#analytics [266] #analytics,#datascience [263] #iot,#iiot [254] #datascience,#ai [241] #ai,#machinelearning [227] #machinelearning,#iot [208] #iiot,#pytorch [207] #python,#rstats [191] #pytorch,#python [98] #rstats,#tensorflow Top Word Pairs in Tweet in G5:
[66] #bigdata,#analytics [55] #machinelearning,#bigdata [46] #iot,#iiot [41] #digitaltransformation,#machinelearning [39] #analytics,#datascience [32] #machinelearning,#deeplearning [31] #datascience,#ai [28] r_demidchuk,key [25] #python,#rstats [24] key,elements Top Word Pairs in Tweet in G6:
[60] #bigdata,#analytics [58] #analytics,#datascience [57] #iot,#iiot [46] #iiot,#pytorch [46] full,stack [46] stack,#developer [46] #developer,need [46] need,know [46] know,pinakilaskar [46] pinakilaskar,cc Top Word Pairs in Tweet in G7:
[71] #datasecurity,#datascientist [64] #ai,#datasecurity [56] #iot,#dataanalytics [56] #dataanalytics,#datavisualization [56] #datavisualization,#ai [56] #ai,#fintech [55] #fintech,#predictions [48] #datascientist,#dataanalytics [36] #rstats,#reactjs [36] use,cases Top Word Pairs in Tweet in G8:
[12] #python,#rstats [12] #iot,#iiot [12] #bigdata,#analytics [10] #machinelearning,#ai [10] #ai,#python [7] #datascience,#ai [7] #analytics,#datascience [6] democratizing,transformation [6] transformation,#analytics [6] #analytics,#5g Top Word Pairs in Tweet in G9:
[25] key,elements [25] elements,#blockchain [25] #blockchain,potential [25] potential,#digitaltransformation [25] #digitaltransformation,#machinelearning [25] #machinelearning,#bigdata [20] insurtechforum,key [16] #bigdata,#artificialintellig [6] #bigdata,#artificialintelligence [3] #artificialintelligence,#dx Top Word Pairs in Tweet in G10:
[158] #iot,#iiot [132] #bigdata,#analytics [131] #analytics,#datascience [127] #iiot,#pytorch [126] #pytorch,#python [100] #java,#javascript [98] #python,#rstats [79] #datascience,#iot [74] #rstats,#tensorflow [69] #tensorflow,#java 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:
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Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
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: