The graph represents a network of 1,006 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, 18 February 2022 at 11:41 UTC.
The requested start date was Friday, 18 February 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, 0-hour, 43-minute period from Wednesday, 16 February 2022 at 00:16 UTC to Friday, 18 February 2022 at 01:00 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 : 1006
Unique Edges : 1084
Edges With Duplicates : 16409
Total Edges : 17493
Number of Edge Types : 5
Retweet : 7146
MentionsInRetweet : 9388
Mentions : 498
Tweet : 424
Replies to : 37
Self-Loops : 515
Reciprocated Vertex Pair Ratio : 0.00962962962962963
Reciprocated Edge Ratio : 0.0190755685986794
Connected Components : 10
Single-Vertex Connected Components : 7
Maximum Vertices in a Connected Component : 989
Maximum Edges in a Connected Component : 17461
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.247684
Graph Density : 0.00404439037417287
Modularity : 0.137661
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,006 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, 18 February 2022 at 11:41 UTC.
The requested start date was Friday, 18 February 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, 0-hour, 43-minute period from Wednesday, 16 February 2022 at 00:16 UTC to Friday, 18 February 2022 at 01:00 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:
[5344] #bigdata,#analytics [3961] #analytics,#datascience [3822] #iot,#iiot [2789] #datascience,#ai [1927] #ai,#machinelearning [1886] #iiot,#pytorch [1826] #python,#rstats [1808] #machinelearning,#iot [1719] #python,#bigdata [1695] #pytorch,#python Top Word Pairs in Tweet in G1:
[3011] #bigdata,#analytics [2361] #analytics,#datascience [2122] #iot,#iiot [1635] #datascience,#ai [1184] #ai,#machinelearning [1111] #machinelearning,#iot [1041] #python,#rstats [1012] #iiot,#pytorch [901] #pytorch,#python [776] #python,#bigdata Top Word Pairs in Tweet in G2:
[498] #bigdata,#analytics [392] #analytics,#datascience [302] #datascience,#ai [239] #iiot,#pytorch [219] #pytorch,#python [210] #python,#bigdata [204] #iot,#iiot [191] #sql,#python [177] #ai,#ml [157] #deeplearning,#sql Top Word Pairs in Tweet in G3:
[334] #bigdata,#analytics [228] #analytics,#datascience [166] #datascience,#ai [110] #iot,#iiot [109] ingliguori,#bigdata [107] #analytics,#ai [98] #machinelearning,#bigdata [89] #pytorch,#python [88] #datascience,#machinelearning [88] #ai,#iot Top Word Pairs in Tweet in G4:
[422] #bigdata,#analytics [364] #analytics,#datascience [359] #iot,#iiot [234] #datascience,#ai [219] #ai,#machinelearning [217] #machinelearning,#iot [171] #python,#rstats [160] #iiot,#pytorch [144] #iiot,#python [143] #pytorch,#python Top Word Pairs in Tweet in G5:
[1001] #bigdata,#analytics [984] #iot,#iiot [625] #python,#bigdata [567] #analytics,#datascience [431] #analytics,#ai [429] #iiot,#azure [417] #datascience,#ai [398] #azure,#pytorch [384] #iiot,#pytorch [352] #python,#rstats Top Word Pairs in Tweet in G6:
[40] machine,learning [35] yuhelenyu,machine [25] #python,#rstats [24] #rstats,#reactjs [23] #iiot,#ml [22] learning,workflow [22] #ai,#dataanalytics [22] #dataanalytics,#python [22] #reactjs,#iiot [22] #ml,#linux Top Word Pairs in Tweet in G7:
[59] #machinelearning,#bigdata [56] #bigdata,#analytics [34] #analytics,#datascience [28] #iot,#iiot [27] #datascience,#ai [27] 100,coupon [27] #machinelearning,#deeplearning [26] #aiart,#machinelearning [22] #deeplearning,#mlsogood [22] udemy_coupons1,100 Top Word Pairs in Tweet in G8:
[2] #iot,#iiot [2] sposobów,wykorzystywania [2] wykorzystywania,technologii [2] technologii,tsn [2] tsn,przemysłowych [2] przemysłowych,sieciach [2] sieciach,typu [2] typu,ethernet [2] #bigdata,#analytics [2] #analytics,#datascience Top Word Pairs in Tweet in G9:
[8] important,#bigdata [8] #bigdata,applied [8] applied,improve [8] improve,operations [8] operations,aspentech [8] aspentech,#iot [6] technative,important [6] #iot,#digitaltransformation [4] #digitaltransformation,#iiot [4] #iiot,#innovation Top Word Pairs in Tweet in G10:
[9] #machinelearning,#datascience [9] #datascience,#iiot [6] #100daysofcode,#python [5] successanalytix,science [5] science,success [5] success,#machinelearning [5] #iiot,#5g [5] #5g,#100daysofcode [5] #python,#cybe [4] ai,future Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: