The graph represents a network of 2,470 Twitter users whose tweets in the requested range contained "deeplearning", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 27 May 2020 at 16:13 UTC.
The requested start date was Wednesday, 27 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 8-hour, 54-minute period from Monday, 25 May 2020 at 14:58 UTC to Tuesday, 26 May 2020 at 23:53 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 : 2470
Unique Edges : 2053
Edges With Duplicates : 8651
Total Edges : 10704
Number of Edge Types : 5
Retweet : 3730
MentionsInRetweet : 4871
Tweet : 1334
Mentions : 759
Replies to : 10
Self-Loops : 1371
Reciprocated Vertex Pair Ratio : 0.0103918597098939
Reciprocated Edge Ratio : 0.0205699592886222
Connected Components : 278
Single-Vertex Connected Components : 170
Maximum Vertices in a Connected Component : 1989
Maximum Edges in a Connected Component : 10051
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.981041
Graph Density : 0.000765278932446548
Modularity : 0.338058
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 2,470 Twitter users whose tweets in the requested range contained "deeplearning", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 27 May 2020 at 16:13 UTC.
The requested start date was Wednesday, 27 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 8-hour, 54-minute period from Monday, 25 May 2020 at 14:58 UTC to Tuesday, 26 May 2020 at 23:53 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 : deeplearning
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 G2:
[164] deep,learning [109] #machinelearning,#deeplearning [106] machine,learning [106] #deeplearning,#learning [106] artificial,intelligence [106] read,more [106] #ai,#ml [106] learning,#deeplearning [106] #ml,#deeplearning [106] #datascience,#machinelearning Top Word Pairs in Tweet in G3:
[429] #ai,#machinelearning [267] gt,gt [257] machine,learning [233] #datascience,#iot [194] #machinelearning,#deeplearning [147] #ml,#ai [140] #rstats,#javascript [119] #iot,#rstats [106] #machinelearning,#datascience [89] #artificialintelligence,#ml Top Word Pairs in Tweet in G4:
[193] deep,learning [157] icymi,springer [152] springer,made [131] made,400 [128] 400,textbooks [117] textbooks,free [105] free,download [101] download,including [96] including,cs [91] cs,books Top Word Pairs in Tweet in G5:
[201] #ai,#deeplearning [200] #machinelearning,#deeplearning [200] created,neural [200] neural,style [200] style,transfer [200] transfer,stock [200] stock,input [200] input,#pexels [200] #pexels,follow [200] follow,research_nest Top Word Pairs in Tweet in G6:
[22] #machinelearning,#deeplearning [19] artificial,intelligence [16] #ai,#artificialinteligence [16] #ai,#artificialintelligence [16] #artificialinteligence,#machinelearning [16] gt,gt [16] machine,learning [16] #ai,#machinelearning [16] #artificialintelligence,#machinelearning [16] nigewillson,artificial Top Word Pairs in Tweet in G7:
[55] deep,learning [54] #ai,#ml [34] #ml,#deeplearning [29] #dl,#ai [24] #machinelearning,#deeplearning [21] comparison,#deeplearning [18] #deeplearning,frameworks [16] frameworks,#pytorch [15] #pytorch,vs [13] vs,#tensorflow Top Word Pairs in Tweet in G8:
[14] tesseract,ocr [14] ocr,text [14] text,localization [13] localization,detection [12] tutorial,tesseract [12] detection,detect [12] detect,text [12] text,ocr [12] ocr,super [12] super,efficient Top Word Pairs in Tweet in G9:
[45] using,transformers [45] transformers,huggingface [45] huggingface,models [45] models,bert [42] bert,xlnet [42] xlnet,bart [42] bart,electra [42] electra,roberta [42] roberta,xlm [42] xlm,roberta Top Word Pairs in Tweet in G10:
[23] join,next [23] next,webinar [23] webinar,decade [23] decade,#machinelearning [23] #machinelearning,profiled [23] profiled,side [23] side,channel [23] channel,analysis [23] analysis,stjepanpicek_ [23] hardwear_io,join Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: