The graph represents a network of 1,649 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, 24 June 2022 at 11:01 UTC.
The requested start date was Friday, 24 June 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, 13-hour, 30-minute period from Tuesday, 21 June 2022 at 10:30 UTC to Friday, 24 June 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 : 1649
Unique Edges : 998
Edges With Duplicates : 15788
Total Edges : 16786
Number of Edge Types : 5
Retweet : 7085
MentionsInRetweet : 8558
Tweet : 651
Mentions : 465
Replies to : 27
Self-Loops : 749
Reciprocated Vertex Pair Ratio : 0.0106873428331936
Reciprocated Edge Ratio : 0.0211486626580966
Connected Components : 16
Single-Vertex Connected Components : 6
Maximum Vertices in a Connected Component : 1622
Maximum Edges in a Connected Component : 16749
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.404888
Graph Density : 0.00177475904784895
Modularity : 0.178721
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,649 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, 24 June 2022 at 11:01 UTC.
The requested start date was Friday, 24 June 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, 13-hour, 30-minute period from Tuesday, 21 June 2022 at 10:30 UTC to Friday, 24 June 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:
[4330] #bigdata,#analytics [3955] #iot,#iiot [2711] #analytics,#datascience [2474] #python,#rstats [2237] #datascience,#ai [1923] #ai,#machinelearning [1896] #iiot,#python [1859] #machinelearning,#iot [1720] #cybersecurity,#bigdata [1360] #analytics,#ai Top Word Pairs in Tweet in G1:
[901] #bigdata,#analytics [715] #cybersecurity,#bigdata [640] #iot,#iiot [602] #python,#rstats [549] #iiot,#python [447] #machinelearning,#datascience [441] #datascience,#sql [421] #analytics,#ai [411] #ai,#iiot [396] #sql,#cybersecurity Top Word Pairs in Tweet in G2:
[2102] #bigdata,#analytics [1684] #iot,#iiot [1426] #analytics,#datascience [1172] #python,#rstats [1150] #datascience,#ai [962] #ai,#machinelearning [936] #iiot,#python [906] #machinelearning,#iot [701] #cybersecurity,#bigdata [602] #rstats,#tensorflow Top Word Pairs in Tweet in G3:
[426] #bigdata,#analytics [421] #iot,#iiot [397] #analytics,#datascience [310] #datascience,#ai [274] #ai,#machinelearning [274] #python,#rstats [261] #machinelearning,#iot [191] #rstats,#tensorflow [176] #iiot,#pytorch [173] #pytorch,#python Top Word Pairs in Tweet in G4:
[571] #iot,#iiot [380] #bigdata,#analytics [288] #python,#bigdata [261] #ai,#iot [245] #bigdata,#ai [207] #iiot,#azure [201] #analytics,#ai [169] #azure,#pytorch [165] #analytics,#datascience [154] #python,#rstats Top Word Pairs in Tweet in G5:
[218] #bigdata,#analytics [217] #iot,#iiot [203] #analytics,#datascience [182] #datascience,#ai [175] #ai,#machinelearning [175] #machinelearning,#iot [141] free,book [141] book,available [141] available,#bigdata [137] free_ai_books,free Top Word Pairs in Tweet in G6:
[114] #ai,#datasecurity [114] #datasecurity,#datascientist [113] #datascientist,#dataanalytics [113] #iiot,#flutter [112] #rstats,#reactjs [112] #reactjs,#iiot [107] #dataanalytics,#rstats [87] #flutter,#javascript [75] #javascript,#java [35] web,vs Top Word Pairs in Tweet in G7:
[86] #iot,#iiot [56] #bigdata,#analytics [48] #ai,#machinelearning [45] #analytics,#datascience [39] #datascience,#ai [33] #iotpl,#iotcl [33] #bigdata,#datascience [31] #python,#rstats [29] #machinelearning,#iot [24] #iiot,#python Top Word Pairs in Tweet in G8:
[236] #iot,#iiot [177] #ai,#iot [166] #iiot,#cx [157] #cx,#machinelearning [156] #machinelearning,#selfdrivingcars [149] #selfdrivingcars,#fashiontech [129] #fashiontech,#smartcity [119] #bigdata,#analytics [65] #python,#rstats [61] #analytics,#datascience Top Word Pairs in Tweet in G9:
[45] #iot,#iiot [42] #python,#rstats [35] #rstats,#reactjs [34] #analytics,#machinelearning [34] #machinelearning,#ai [34] #ai,#python [33] #reactjs,#iot [32] #iiot,#linux [30] #linux,#serverless [26] animals,react Top Word Pairs in Tweet in G10:
[64] #ai,#iiot [57] #cybersecurity,#bigdata [56] #bigdata,#analytics [55] #analytics,#ai [42] #machinelearning,#datascience [41] #sql,#cybersecurity [41] #iiot,#python [39] #datascience,#sql [38] #python,#rstats [21] #rstats,#tensorflow Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G4:
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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:
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Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: