The graph represents a network of 1,126 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, 07 October 2022 at 11:23 UTC.
The requested start date was Friday, 07 October 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, 5-hour, 32-minute period from Tuesday, 04 October 2022 at 03:57 UTC to Thursday, 06 October 2022 at 09:30 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 : 1126
Unique Edges : 745
Edges With Duplicates : 15797
Total Edges : 16542
Number of Edge Types : 5
Retweet : 6923
MentionsInRetweet : 8189
Tweet : 724
Mentions : 685
Replies to : 21
Self-Loops : 1051
Reciprocated Vertex Pair Ratio : 0.00532056397978186
Reciprocated Edge Ratio : 0.010584810796507
Connected Components : 6
Single-Vertex Connected Components : 3
Maximum Vertices in a Connected Component : 1119
Maximum Edges in a Connected Component : 16523
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.157189
Graph Density : 0.00298322478784291
Modularity : 0.121688
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 1,126 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, 07 October 2022 at 11:23 UTC.
The requested start date was Friday, 07 October 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, 5-hour, 32-minute period from Tuesday, 04 October 2022 at 03:57 UTC to Thursday, 06 October 2022 at 09:30 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:
[4416] #bigdata,#analytics [2994] #iot,#iiot [2673] #analytics,#datascience [2586] #datascience,#ai [2304] #machinelearning,#datascience [2224] #ai,#machinelearning [1831] #machinelearning,#iot [1740] #analytics,#ai [1633] #python,#rstats [1580] #iiot,#python Top Word Pairs in Tweet in G1:
[1838] #bigdata,#analytics [1510] #machinelearning,#datascience [946] #analytics,#datascience [931] #datascience,#ai [910] #iot,#iiot [887] #datascience,#sql [880] #cybersecurity,#bigdata [872] #sql,#cybersecurity [862] #analytics,#ai [736] #ai,#iiot Top Word Pairs in Tweet in G2:
[683] #bigdata,#analytics [565] #analytics,#datascience [541] #datascience,#ai [536] #iot,#iiot [518] #ai,#machinelearning [473] #machinelearning,#iot [373] #python,#rstats [259] #iiot,#python [212] #iiot,#pytorch [190] #pytorch,#python Top Word Pairs in Tweet in G3:
[786] #bigdata,#analytics [576] #iot,#iiot [489] #ai,#machinelearning [463] #analytics,#datascience [452] #datascience,#ai [427] #machinelearning,#iot [365] #machinelearning,#datascience [354] #python,#rstats [291] #analytics,#ai [265] #cybersecurity,#bigdata Top Word Pairs in Tweet in G4:
[308] #iot,#iiot [234] #iiot,#iotpl [226] #machinelearning,#ml [204] #bigdata,#analytics [148] #ai,#machinelearning [140] #analytics,#datascience [129] #programming,#coding [114] #ai,#ml [111] #datascience,#ai [102] #rpa,#nlp Top Word Pairs in Tweet in G5:
[136] #bigdata,#analytics [116] #analytics,#ai [115] #machinelearning,#datascience [114] #datascience,#sql [114] #sql,#cybersecurity [114] #cybersecurity,#bigdata [112] #ai,#iiot [108] #iiot,#python [101] #python,#rstats [94] cheat,sheet Top Word Pairs in Tweet in G6:
[334] #bigdata,#analytics [282] #iot,#iiot [184] #analytics,#ai [161] #ai,#machinelearning [159] #analytics,#datascience [151] #datascience,#ai [139] #machinelearning,#iot [130] #python,#rstats [119] #python,#bigdata [111] #machinelearning,#datascience Top Word Pairs in Tweet in G7:
[82] #bigdata,#analytics [74] #ai,#machinelearning [65] #iot,#iiot [63] #machinelearning,#iot [59] #analytics,#datascience [59] #datascience,#ai [55] cheat,sheet [49] #iiot,#pytorch [47] #pytorch,#python [46] python,cheat Top Word Pairs in Tweet in G8:
[264] #bigdata,#analytics [242] #datascience,#ai [241] #analytics,#datascience [237] #machinelearning,#bigdata [222] #ai,#iot [209] #iot,#iiot [165] #iiot,#python [159] #reactjs,#cloudcomputing [159] #coding,#100daysofcode [157] #datascientist,#linux Top Word Pairs in Tweet in G9:
[56] #bigdata,#analytics [56] #analytics,#datascience [56] #datascience,#ai [56] #ai,#machinelearning [56] #machinelearning,#iot [56] #iot,#iiot [55] #arcblock,#abt [55] #abt,186m [55] 186m,coincap [55] coincap,listed Top Word Pairs in Tweet in G10:
[17] #bigdata,#analytics [14] #iot,#iiot [13] #python,#rstats [12] #iiot,#python [12] #datasecurity,#datascientist [12] #analytics,#datascience [12] #datascience,#ai [12] #ai,#machinelearning [11] #ai,#datasecurity [11] #datascientist,#dataanalytics Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: