The graph represents a network of 1,495 Twitter users whose tweets in the requested range contained "iot machinelearning", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 16 September 2020 at 12:31 UTC.
The requested start date was Wednesday, 16 September 2020 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 4-day, 7-hour, 25-minute period from Friday, 11 September 2020 at 16:35 UTC to Wednesday, 16 September 2020 at 00:01 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 : 1495
Unique Edges : 1517
Edges With Duplicates : 14823
Total Edges : 16340
Number of Edge Types : 5
Mentions : 668
Retweet : 6613
MentionsInRetweet : 8062
Tweet : 988
Replies to : 9
Self-Loops : 1117
Reciprocated Vertex Pair Ratio : 0.00643300798580302
Reciprocated Edge Ratio : 0.0127837778267578
Connected Components : 69
Single-Vertex Connected Components : 56
Maximum Vertices in a Connected Component : 1410
Maximum Edges in a Connected Component : 16193
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.415973
Graph Density : 0.00203131366043886
Modularity : 0.19595
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 1,495 Twitter users whose tweets in the requested range contained "iot machinelearning", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 16 September 2020 at 12:31 UTC.
The requested start date was Wednesday, 16 September 2020 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 4-day, 7-hour, 25-minute period from Friday, 11 September 2020 at 16:35 UTC to Wednesday, 16 September 2020 at 00:01 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 : iot 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:
[4217] #bigdata,#analytics [3949] #analytics,#datascience [3487] #datascience,#ai [3125] #iot,#iiot [2868] #ai,#machinelearning [2573] #machinelearning,#iot [1696] #python,#rstats [1400] #ai,#iot [1297] #iiot,#python [958] #pytorch,#python Top Word Pairs in Tweet in G1:
[247] #ai,#machinelearning [230] #bigdata,#analytics [214] #machinelearning,#iot [168] #analytics,#datascience [166] #iot,#iiot [145] #ai,#iot [145] #datascience,#ai [83] #artificialintelligence,#ai [74] #ai,#ml [74] #python,#rstats Top Word Pairs in Tweet in G2:
[3075] #bigdata,#analytics [2933] #analytics,#datascience [2546] #datascience,#ai [2168] #iot,#iiot [1895] #ai,#machinelearning [1748] #machinelearning,#iot [1305] #python,#rstats [1015] #iiot,#python [784] #ai,#iot [646] #pytorch,#python Top Word Pairs in Tweet in G3:
[470] #bigdata,#analytics [461] #analytics,#datascience [431] #datascience,#ai [404] #iot,#iiot [370] #ai,#machinelearning [337] #machinelearning,#iot [161] #iiot,#pytorch [159] #pytorch,#python [150] #python,#rstats [110] #iiot,#python Top Word Pairs in Tweet in G4:
[318] #ai,#iot [307] #bigdata,#analytics [287] #analytics,#datascience [267] #datascience,#ai [260] #iot,#iiot [231] #ai,#machinelearning [194] #machinelearning,#iot [180] #machinelearning,#ai [128] #python,#rstats [99] #iiot,#python Top Word Pairs in Tweet in G5:
[91] #iot,#iiot [74] #ai,#machinelearning [69] #bigdata,#analytics [62] #datascience,#ai [57] #analytics,#datascience [51] #iiot,#iotpl [46] #machinelearning,#iot [32] #bigdata,#datascience [21] #datascience,#iot [15] #bigdata,#machinelearning Top Word Pairs in Tweet in G6:
[20] machine,learning [19] artificial,intelligence [17] read,more [9] #robotics,#automation [8] #automation,#robot [7] #robot,#artificialintelligence [6] #artificialintelligence,#machinelearning [5] #iot,#data [5] #data,#future [5] #future,#humans Top Word Pairs in Tweet in G7:
[53] #bigdata,#analytics [35] #ai,#machinelearning [32] #analytics,#datascience [28] #datascience,#ai [26] #iot,#iiot [18] #machinelearning,#iot [18] #python,#rstats [17] #datascience,#bigdata [16] #computervision,action [16] action,#ai Top Word Pairs in Tweet in G8:
[11] internet,things [11] things,#iot [11] #iot,#bigdata [11] #bigdata,#machinelearning [11] #machinelearning,#blockchain [10] comienzo,nuestro [10] nuestro,#cursoveranouex [10] #cursoveranouex,internet [9] catedratef_uex,comienzo [9] #blockchain,revolu Top Word Pairs in Tweet in G9:
[13] #ai,#ml [9] #ml,#artificialintelligence [6] #ai,#artificialintelligence [5] techcrunch,#ai [5] #artificialintelligence,#ml [5] #ml,#machinelearning [5] #artificialintelligence,#machinelearning [4] forbes,#ai [3] intengineering,#ai [3] edit,writing Top Word Pairs in Tweet in G10:
[19] #artificialintelligence,#business [18] #business,#finance [17] #finance,#ai [17] #ai,#iot [15] #iot,#data [12] #data,#startups [10] #startups,#innovation [7] #innovation,#tech [7] #tech,#science [6] #science,#physics Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
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: