The graph represents a network of 1,315 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, 26 August 2022 at 11:04 UTC.
The requested start date was Friday, 26 August 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 2-day, 17-hour, 33-minute period from Tuesday, 23 August 2022 at 06:26 UTC to Friday, 26 August 2022 at 00:00 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 : 1315
Unique Edges : 596
Edges With Duplicates : 14978
Total Edges : 15574
Number of Edge Types : 5
Retweet : 6886
MentionsInRetweet : 7225
Mentions : 666
Tweet : 788
Replies to : 9
Self-Loops : 1068
Reciprocated Vertex Pair Ratio : 0.00540694365395561
Reciprocated Edge Ratio : 0.0107557316727993
Connected Components : 10
Single-Vertex Connected Components : 4
Maximum Vertices in a Connected Component : 1298
Maximum Edges in a Connected Component : 15554
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.354972
Graph Density : 0.00204466667824134
Modularity : 0.14202
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 1,315 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, 26 August 2022 at 11:04 UTC.
The requested start date was Friday, 26 August 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 2-day, 17-hour, 33-minute period from Tuesday, 23 August 2022 at 06:26 UTC to Friday, 26 August 2022 at 00:00 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 : 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:
[3954] #bigdata,#analytics [2655] #iot,#iiot [2397] #python,#rstats [2293] #analytics,#datascience [2004] #iiot,#python [1804] #datascience,#ai [1630] #cybersecurity,#bigdata [1513] #ai,#machinelearning [1512] #datascience,#sql [1508] #machinelearning,#datascience Top Word Pairs in Tweet in G1:
[2043] #bigdata,#analytics [1190] #iot,#iiot [1176] #python,#rstats [1046] #analytics,#datascience [986] #cybersecurity,#bigdata [973] #iiot,#python [892] #datascience,#sql [868] #machinelearning,#datascience [852] #sql,#cybersecurity [818] #datascience,#ai Top Word Pairs in Tweet in G2:
[732] #analytics,#datascience [725] #bigdata,#analytics [702] #iot,#iiot [568] #datascience,#ai [551] #python,#rstats [550] #ai,#machinelearning [515] #machinelearning,#iot [346] #iiot,#python [313] #rstats,#tensorflow [273] #iiot,#pytorch Top Word Pairs in Tweet in G3:
[284] #bigdata,#analytics [187] #iot,#iiot [159] #machinelearning,#datascience [158] #analytics,#datascience [129] #python,#rstats [129] #datascience,#ai [122] #iiot,#python [120] #ai,#machinelearning [113] #machinelearning,#iot [106] #ai,#ml Top Word Pairs in Tweet in G4:
[292] #bigdata,#analytics [217] #cybersecurity,#bigdata [216] #datascience,#sql [215] #sql,#cybersecurity [214] #python,#rstats [203] #iiot,#python [201] #analytics,#ai [178] #ai,#iiot [154] #machinelearning,#datascience [71] #analytics,#datascience Top Word Pairs in Tweet in G5:
[219] #ai,#ml [218] #ml,#datascience [216] #artificialintelligence,#ai [212] #datascience,#datascientists [209] #datascientists,#codenewbies [194] #codenewbies,#tech [115] #iot,#iiot [97] #bigdata,#analytics [89] #tech,#deeplearning [70] #python,#rstats Top Word Pairs in Tweet in G6:
[366] #healthtech,#datascientist [366] #ehealth,#finserv [366] #finserv,#cloud [364] #cloud,#insurtech [357] #datascientist,#csuite [357] #csuite,#digitalhealth [357] #digitalhealth,#web3 [357] #web3,#cx [357] #cx,#ehealth [266] #iot,#iiot Top Word Pairs in Tweet in G7:
[94] #bigdata,#analytics [75] #iiot,#python [70] #cybersecurity,#bigdata [69] #datascience,#sql [68] #sql,#cybersecurity [67] #analytics,#ai [66] #machinelearning,#datascience [65] #ai,#iiot [54] cheatsheet,#machinelearning [54] parvezshahshaik,data Top Word Pairs in Tweet in G8:
[94] #bigdata,#analytics [93] #cybersecurity,#bigdata [83] #datascience,#sql [80] #sql,#cybersecurity [78] #machinelearning,#datascience [63] #iiot,#python [60] #python,#rstats [54] #analytics,#ai [47] #ai,#iiot [43] #programming,#machinelearning Top Word Pairs in Tweet in G9:
[54] #ai,#ml [54] #artificialintelligence,#ai [51] #ml,#datascience [45] #datascience,#datascientists [40] #datascientists,#codenewbies [38] #codenewbies,#tech [35] #iot,#iiot [34] #bigdata,#analytics [22] gave,kred [21] #python,#rstats Top Word Pairs in Tweet in G10:
[72] #bigdata,#analytics [49] #cybersecurity,#bigdata [48] #machinelearning,#datascience [48] #iiot,#python [45] #analytics,#ai [45] #ai,#iiot [41] #datascience,#sql [40] #sql,#cybersecurity [40] #python,#rstats [24] #ai,#ml Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G6:
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 G6:
Top Mentioned in G7:
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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: