The graph represents a network of 2,747 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, 11 November 2020 at 17:30 UTC.
The requested start date was Wednesday, 11 November 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 1-hour, 7-minute period from Sunday, 08 November 2020 at 23:53 UTC to Wednesday, 11 November 2020 at 01:01 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 : 2747
Unique Edges : 2820
Edges With Duplicates : 13952
Total Edges : 16772
Number of Edge Types : 5
Mentions : 1317
Tweet : 1912
Retweet : 5811
MentionsInRetweet : 7709
Replies to : 23
Self-Loops : 2015
Reciprocated Vertex Pair Ratio : 0.0135241390155685
Reciprocated Edge Ratio : 0.0266873545384019
Connected Components : 346
Single-Vertex Connected Components : 223
Maximum Vertices in a Connected Component : 2166
Maximum Edges in a Connected Component : 15971
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.809334
Graph Density : 0.000854404898040132
Modularity : 0.283179
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 2,747 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, 11 November 2020 at 17:30 UTC.
The requested start date was Wednesday, 11 November 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 1-hour, 7-minute period from Sunday, 08 November 2020 at 23:53 UTC to Wednesday, 11 November 2020 at 01:01 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 : 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:
[972] #machinelearning,#deeplearning [854] machine,learning [823] artificial,intelligence [668] deep,learning [502] #ai,#machinelearning [450] data,science [425] read,more [367] #analytics,#datascience [326] #artificialintelligence,#ai [325] #ai,#ml Top Word Pairs in Tweet in G1:
[216] #machinelearning,#deeplearning [117] #ai,#machinelearning [99] psb_dc,jblefevre60 [95] spirosmargaris,xbond49 [95] xbond49,psb_dc [82] machine,learning [81] jblefevre60,nigewillson [73] artificial,intelligence [64] #artificialintelligence,#machinelearning [48] nigewillson,paula_piccard Top Word Pairs in Tweet in G2:
[472] machine,learning [439] #machinelearning,#deeplearning [332] deep,learning [323] #analytics,#datascience [320] artificial,intelligence [303] data,science [279] #ai,#machinelearning [257] #bigdata,#analytics [233] #artificialintelligence,#ai [204] 99,free Top Word Pairs in Tweet in G3:
[82] cheat,sheet [78] 130,#machinelearning [78] #machinelearning,cheat [78] sheet,classical [78] classical,equations [78] equations,diagrams [78] diagrams,assist [78] assist,preparation [78] preparation,job [78] job,interviews Top Word Pairs in Tweet in G4:
[41] #machinelearning,#deeplearning [39] deep,learning [31] #ai,#machinelearning [25] #deeplearning,#analytics [24] #datascience,#ai [15] yann,lecun [14] lecun,deep [14] learning,course [14] course,free [14] free,fully Top Word Pairs in Tweet in G5:
[355] artificial,intelligence [226] machine,learning [215] read,more [166] deep,learning [160] more,#ai [147] #machinelearning,#deeplearning [130] #deeplearning,#learning [121] #ai,#deeplearning [117] #ai,#ml [86] #deeplearning,#artificialintelligence Top Word Pairs in Tweet in G6:
[80] #robotics,#ai [80] #ai,#iot [80] #iot,#artificialintelligence [80] #artificialintelligence,#hardware [80] #agritech,#biometrics [77] #artificialintelligence,#machinelearning [74] algorithm,uses [74] uses,walking [74] walking,style [74] style,determine Top Word Pairs in Tweet in G7:
[67] yann,lecun [67] course,free [67] free,fully [67] fully,online [66] lecun,#deeplearning [66] #deeplearning,course [66] online,googlenews [65] mfordfuture,yann [18] #ai,#deeplearning [15] #deeplearning,#machinelearning Top Word Pairs in Tweet in G8:
[14] #machinelearning,#ml [11] neural,network [11] hubbucket,prosumersoft [10] #artificialintelligence,#ai [9] #ml,#deeplearning [9] #deeplearning,method [8] medical,image [8] hubdevops,hubdataops [8] #algorithms,#models [8] designed,#deeplearning Top Word Pairs in Tweet in G9:
[50] medium,article [50] article,published [50] published,check [50] check,getting [50] getting,started [50] started,data [50] data,science [50] science,python [50] python,preforming [50] preforming,simple Top Word Pairs in Tweet in G10:
[36] tutorial,time [36] time,image [36] image,super [36] super,resolution [36] resolution,#opencv [36] #opencv,#deeplearning [36] #deeplearning,increase [36] increase,image [36] image,resolution [36] resolution,8x Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
Top Replied-To in G6:
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: