The graph represents a network of 1,107 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, 21 January 2022 at 11:47 UTC.
The requested start date was Friday, 21 January 2022 at 01:01 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, 8-hour, 23-minute period from Tuesday, 18 January 2022 at 16:30 UTC to Friday, 21 January 2022 at 00:53 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 : 1107
Unique Edges : 1042
Edges With Duplicates : 15907
Total Edges : 16949
Number of Edge Types : 5
Retweet : 7176
MentionsInRetweet : 8823
Replies to : 14
Tweet : 560
Mentions : 376
Self-Loops : 648
Reciprocated Vertex Pair Ratio : 0.00672008270871026
Reciprocated Edge Ratio : 0.0133504492939666
Connected Components : 10
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 1094
Maximum Edges in a Connected Component : 16937
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.321095
Graph Density : 0.00318130064965508
Modularity : 0.12913
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,107 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, 21 January 2022 at 11:47 UTC.
The requested start date was Friday, 21 January 2022 at 01:01 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, 8-hour, 23-minute period from Tuesday, 18 January 2022 at 16:30 UTC to Friday, 21 January 2022 at 00:53 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:
[3994] #bigdata,#analytics [3306] #analytics,#datascience [3048] #iot,#iiot [2691] #datascience,#ai [1995] #ai,#machinelearning [1793] #machinelearning,#iot [1633] #python,#rstats [1559] #iiot,#pytorch [1225] #pytorch,#python [928] #ai,#iiot Top Word Pairs in Tweet in G1:
[1846] #bigdata,#analytics [1510] #analytics,#datascience [1367] #iot,#iiot [1208] #datascience,#ai [915] #ai,#machinelearning [839] #bigdata,#devcommunity [829] #machinelearning,#iot [828] #devcommunity,#technology [712] #python,#rstats [706] #iiot,#pytorch Top Word Pairs in Tweet in G2:
[407] #bigdata,#analytics [372] #analytics,#datascience [360] #iot,#iiot [263] #datascience,#ai [251] #python,#rstats [245] #ai,#machinelearning [235] #machinelearning,#iot [221] #iiot,#pytorch [215] #pytorch,#python [122] #rstats,#tensorflow Top Word Pairs in Tweet in G3:
[1115] #bigdata,#analytics [927] #analytics,#datascience [804] #iot,#iiot [767] #datascience,#ai [556] #ai,#machinelearning [522] #machinelearning,#iot [479] #iiot,#pytorch [473] #python,#rstats [350] #pytorch,#python [211] #ai,#iiot Top Word Pairs in Tweet in G4:
[209] #bigdata,#analytics [151] #machinelearning,#bigdata [149] #analytics,#datascience [142] #datascience,#ai [131] #iot,#iiot [67] #python,#rstats [65] #iiot,#python [58] #ai,#iot [58] #rstats,#tensorflow [53] #programming,#coding Top Word Pairs in Tweet in G5:
[79] #ai,#machinelearning [52] #machinelearning,#100daysofcode [52] #100daysofcode,#dataanalytics [52] #dataanalytics,#datascientists [52] #datascientists,#iiot [52] #iiot,#womeninstem [47] #bigdata,#analytics [43] #analytics,#datascience [37] #iot,#iiot [34] #datascience,#ai Top Word Pairs in Tweet in G6:
[183] #analytics,#datascience [172] #bigdata,#analytics [160] #datascience,#ai [122] #iot,#iiot [81] #machinelearning,#iot [75] #ai,#machinelearning [66] #python,#rstats [53] #iiot,#pytorch [47] #ai,#bigdata [46] #pytorch,#python Top Word Pairs in Tweet in G7:
[23] #cloud,#machinelearning [23] #machinelearning,#bigdata [19] #iot,#iiot [19] ingliguori,#cloud [18] #bigdata,#analytics [18] #saas,software [18] software,faas [18] faas,function [18] function,dbaas [18] dbaas,database Top Word Pairs in Tweet in G8:
[36] #digitaltransformation,#machinelearning [33] between,#datascience [30] differences,between [30] #datascience,#bigdata [30] #bigdata,#digitaltransformation [29] r_demidchuk,differences [29] #machinelearning,#artifi [25] #machinelearning,#deeplearning [22] #art,#aiart [22] #aiart,#machinelearning Top Word Pairs in Tweet in G9:
[128] #iot,#iiot [111] #bigdata,#analytics [109] #python,#bigdata [81] #iiot,#azure [68] #azure,#pytorch [68] #ai,#iot [64] #analytics,#ai [56] #datascience,#iot [56] #pytorch,#cython [56] #bigdata,#ai Top Word Pairs in Tweet in G10:
[37] #iot,#iiot [26] pdh_scitechnews,#computing [26] quantum,computing [26] #100daysofcode,#femtech [26] #femtech,#ar [26] #ar,#ml [26] #ml,#analytics [26] #analytics,#rstats [26] #rstats,#reactjs [26] #reactjs,#iot Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
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 G4:
Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: