The graph represents a network of 2,785 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 Saturday, 26 October 2019 at 01:51 UTC.
The requested start date was Wednesday, 23 October 2019 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, 6-hour, 20-minute period from Monday, 21 October 2019 at 17:40 UTC to Wednesday, 23 October 2019 at 00:00 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 : 2785
Unique Edges : 4537
Edges With Duplicates : 3067
Total Edges : 7604
Number of Edge Types : 3
Mentions : 5749
Tweet : 1793
Replies to : 62
Self-Loops : 1793
Reciprocated Vertex Pair Ratio : 0.0145747226452034
Reciprocated Edge Ratio : 0.0287307032590051
Connected Components : 440
Single-Vertex Connected Components : 250
Maximum Vertices in a Connected Component : 1826
Maximum Edges in a Connected Component : 6402
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.122508
Graph Density : 0.000601539445716998
Modularity : 0.478651
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 2,785 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 Saturday, 26 October 2019 at 01:51 UTC.
The requested start date was Wednesday, 23 October 2019 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, 6-hour, 20-minute period from Monday, 21 October 2019 at 17:40 UTC to Wednesday, 23 October 2019 at 00:00 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[666] gt,gt [531] #machinelearning,#deeplearning [377] artificial,intelligence [377] deep,learning [319] read,more [315] machine,learning [285] #ai,#deeplearning [249] #ai,#artificialintelligence [217] #artificialintelligence,#machinelearning [205] more,here Top Word Pairs in Tweet in G1:
[243] artificial,intelligence [200] read,more [189] machine,learning [188] deep,learning [163] more,here [127] #machinelearning,#deeplearning [101] #ai,#deeplearning [91] gt,gt [80] #deeplearning,#quantummechanics [79] #deeplearning,#intoainews Top Word Pairs in Tweet in G2:
[73] #machinelearning,#deeplearning [48] #bigdata,#datascience [47] #ai,#machinelearning [42] artificial,intelligence [40] cheat,sheets [38] sheets,#datascientists [38] #fintech,#ai [34] #ai,#artificialintelligence [34] #fintech,#insurtech [32] one,time Top Word Pairs in Tweet in G3:
[42] deep,learning [26] #machinelearning,#deeplearning [20] #deeplearning,#cloudsecurity [20] #cloudsecurity,#crowdfunding [20] #crowdfunding,#photography [20] #photography,#pets [20] #pets,#friends [20] #friends,#piday [20] #piday,#us [14] machine,learning Top Word Pairs in Tweet in G4:
[103] read,more [48] #deeplearning,#dl [34] more,here [34] #bigdata,#artificialintelligence [33] more,#bigdata [31] #artificialintelligence,#ai [31] #ai,#machinelearning [30] learn,more [29] ronald_vanloon,#deeplearning [23] amazon,asked Top Word Pairs in Tweet in G5:
[509] gt,gt [126] #machinelearning,#deeplearning [119] mikequindazzi,gt [104] #deeplearning,#iot [66] #ai,#deeplearning [53] cc,mikequindazzi [48] #ai,gt [48] #iot,#bigdata [47] #artificialintelligence,#machinelearning [47] gt,darpa Top Word Pairs in Tweet in G6:
[65] #ai,#artificialintelligence [52] japanese,farmer [52] farmer,using [52] using,#deeplearning [52] #deeplearning,sort [52] sort,cucumbers [52] cucumbers,welcomeai [52] welcomeai,#ai [52] #artificialintelligence,#agritech [47] paula_piccard,japanese Top Word Pairs in Tweet in G7:
[126] وصلني,اليوم [126] اليوم,ايميل [126] ايميل,من [126] من,يعلن [126] يعلن,توف [126] توف,ر [126] ر,ترجمة [126] ترجمة,كورس [126] كورس,الذكاء [126] الذكاء,الاصطناعي Top Word Pairs in Tweet in G8:
[36] #deeplearning,#ai [36] #deeplearning,#machinelearning [32] deep,learning [27] brain,hemorrhages [24] expert,radiologists [21] #ai,#deeplearning [18] #machinelearning,#deeplearning [15] machine,learning [14] learning,#deeplearning [14] #ai,proves Top Word Pairs in Tweet in G9:
[54] vs,tf [54] tf,keras [54] difference,#tensorflow [54] #tensorflow,2 [54] 2,0 [53] new,tutorial [53] tutorial,#keras [53] #keras,vs [53] keras,difference [53] 0,covers Top Word Pairs in Tweet in G10:
[48] #machinelearning,#deeplearning [39] #artificialintelligence,#machinelearning [37] #ai,#software [37] #software,detect [37] detect,shoplifting [37] shoplifting,before [37] before,occurs [37] occurs,#artificialintelligence [36] davorjordacevic,#ai [36] #deeplearning,#co 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:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: