The graph represents a network of 2,510 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, 25 December 2019 at 03:27 UTC.
The requested start date was Wednesday, 25 December 2019 at 01:01 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, 5-hour, 36-minute period from Monday, 23 December 2019 at 19:24 UTC to Wednesday, 25 December 2019 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 : 2510
Unique Edges : 4653
Edges With Duplicates : 2843
Total Edges : 7496
Number of Edge Types : 4
Tweet : 1593
Mentions : 915
MentionsInRetweet : 4961
Replies to : 27
Self-Loops : 1593
Reciprocated Vertex Pair Ratio : 0.00936914428482199
Reciprocated Edge Ratio : 0.0185643564356436
Connected Components : 312
Single-Vertex Connected Components : 204
Maximum Vertices in a Connected Component : 1966
Maximum Edges in a Connected Component : 6833
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.961776
Graph Density : 0.00076981829557021
Modularity : 0.47975
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 2,510 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, 25 December 2019 at 03:27 UTC.
The requested start date was Wednesday, 25 December 2019 at 01:01 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, 5-hour, 36-minute period from Monday, 23 December 2019 at 19:24 UTC to Wednesday, 25 December 2019 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 : 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 Entire Graph:
[442] #machinelearning,#deeplearning [363] deep,learning [318] artificial,intelligence [289] #ai,#machinelearning [218] #ai,#deeplearning [172] machine,learning [169] #ai,#artificialintelligence [166] gt,gt [160] #bigdata,#analytics [158] #deeplearning,#machinelearning Top Word Pairs in Tweet in G1:
[155] #machinelearning,#deeplearning [75] #ai,#machinelearning [69] artificial,intelligence [54] #artificialintelligence,#machinelearning [50] #ai,#artificialintelligence [46] #fintech,#ai [45] #ai,#ml [34] deep,learning [33] gt,gt [27] ipfconline1,#ai Top Word Pairs in Tweet in G2:
[157] aiで風景を作る,iteration [157] iteration,epoch [157] #makeinglandscape,#nowlearning [157] #nowlearning,#ai [157] #ai,#人工知能 [157] #人工知能,#deeplearning [157] #deeplearning,#gan [93] deep,learning [75] machine,learning [70] #deeplearning,#ai Top Word Pairs in Tweet in G3:
[99] #deeplearning,#iot [74] #ai,#deeplearning [73] artificial,intelligence [67] #ai,#datascience [60] gt,gt [56] #datascience,#innovation [55] #ml,#robotics [55] #robotics,#neuralnetworks [55] #hcm,#hrtech [55] #hrtech,#futureofhr Top Word Pairs in Tweet in G4:
[132] #efarm,uses [132] uses,95 [132] 95,less [132] less,traditional [132] wef,#artificialintelligence [131] extraordinary,vertical [131] vertical,#efarm [131] traditional,farm [131] farm,wef [120] ronald_vanloon,extraordinary Top Word Pairs in Tweet in G5:
[27] deep,learning [17] machine,learning [16] artificial,intelligence [13] #ai,#deeplearning [10] #deeplearning,#machinelearning [10] #ai,#artificialintelligence [10] #deeplearning,#cloudsecurity [10] #cloudsecurity,#crowdfunding [10] #crowdfunding,#photography [10] #photography,#pets Top Word Pairs in Tweet in G6:
[69] #deeplearning,#quantummechanics [49] #robotics,#ai [48] gt,gt [48] #ai,#iot [40] deep,learning [40] #ai,#artificialintelligence [37] video,#ai [37] #ai,end [37] end,#deeplearning [37] #deeplearning,#deeplearning Top Word Pairs in Tweet in G7:
[62] #bigdata,#analytics [62] #analytics,#datascience [49] #ai,#machinelearning [48] #datascience,#ai [44] #docker,#haskell [42] #haskell,#csharp [33] #iot,#iiot [33] #iiot,#pytorch [30] #csharp,#python [28] 50,everything Top Word Pairs in Tweet in G8:
[48] #bigdata,#analytics [47] 10,jobs [47] jobs,come [47] come,recent [47] recent,years [47] years,#ai [47] #ai,#autonomouscars [47] #autonomouscars,#smm [47] #smm,#cloud [47] #cloud,#bigdata Top Word Pairs in Tweet in G9:
[50] created,notebook [50] notebook,attempts [50] attempts,clear [50] clear,confusion [50] confusion,matplotlib [50] matplotlib,figures [50] figures,subplots [50] subplots,axes [49] akashpalrecha98,created [8] 13,ways Top Word Pairs in Tweet in G10:
[51] #deeplearning,#intoainews [50] deep,learning [47] #machinelearning,#deeplearning [46] #ai,#machinelearning [38] #datascience,#ai [37] #deeplearning,#analytics [27] artificial,intelligence [14] learning,#deeplearning [10] machine,learning [10] ai,cnn Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G3:
Top Mentioned in G4:
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Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: