The graph represents a network of 2,592 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, 18 November 2020 at 17:25 UTC.
The requested start date was Wednesday, 18 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 4-day, 4-hour, 15-minute period from Friday, 13 November 2020 at 20:45 UTC to Wednesday, 18 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 : 2592
Unique Edges : 3098
Edges With Duplicates : 14317
Total Edges : 17415
Number of Edge Types : 5
Mentions : 1632
Retweet : 5862
MentionsInRetweet : 7973
Tweet : 1919
Replies to : 29
Self-Loops : 2032
Reciprocated Vertex Pair Ratio : 0.0158161742763354
Reciprocated Edge Ratio : 0.0311398354876616
Connected Components : 295
Single-Vertex Connected Components : 177
Maximum Vertices in a Connected Component : 2086
Maximum Edges in a Connected Component : 16649
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.833773
Graph Density : 0.00101371795055058
Modularity : 0.282816
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 2,592 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, 18 November 2020 at 17:25 UTC.
The requested start date was Wednesday, 18 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 4-day, 4-hour, 15-minute period from Friday, 13 November 2020 at 20:45 UTC to Wednesday, 18 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:
[912] #machinelearning,#deeplearning [865] machine,learning [859] artificial,intelligence [579] #analytics,#datascience [554] #bigdata,#analytics [509] data,science [505] #ai,#machinelearning [502] deep,learning [475] read,more [372] #datascience,#deeplearning Top Word Pairs in Tweet in G1:
[601] machine,learning [530] #analytics,#datascience [492] #bigdata,#analytics [487] #machinelearning,#deeplearning [427] data,science [323] #datascience,#deeplearning [307] #ai,#machinelearning [296] artificial,intelligence [241] deep,learning [213] #deeplearning,#learning Top Word Pairs in Tweet in G2:
[157] #machinelearning,#deeplearning [115] spirosmargaris,xbond49 [106] jblefevre60,nigewillson [94] xbond49,jblefevre60 [69] nigewillson,paula_piccard [64] #ai,#machinelearning [64] #ai,#artificialintelligence [64] artificial,intelligence [58] paula_piccard,ipfconline1 [57] #artificialintelligence,#machinelearning Top Word Pairs in Tweet in G3:
[164] artificial,intelligence [141] read,more [111] more,#ai [85] machine,learning [74] deep,learning [74] #ai,#deeplearning [47] #machinelearning,#deeplearning [46] #deeplearning,#machineintelligence [46] #machineintelligence,#machinelearning [46] #machinelearning,#mixedlearning Top Word Pairs in Tweet in G4:
[36] #machinelearning,#deeplearning [23] #ai,#machinelearning [21] deep,learning [16] artificial,intelligence [16] machine,learning [13] read,more [13] #datascience,#ai [13] #deeplearning,#analytics [8] #thanksgiving,#thanksgiving2020 [8] #thanksgiving2020,#discounts Top Word Pairs in Tweet in G5:
[39] #machinelearning,#deeplearning [31] #ai,#machinelearning [30] #deeplearning,#analytics [29] #datascience,#ai [23] machine,learning [22] ml,expert [19] postdoc,position [19] position,jug_lab [19] jug_lab,humantechnopole [19] humantechnopole,ml Top Word Pairs in Tweet in G6:
[55] #machinelearning,#deeplearning [50] becomes,more [35] machine,learning [25] according,#google [25] #google,#ai [25] #ai,becomes [25] more,#advanced [25] #advanced,becomes [25] more,aggressive [25] aggressive,mt Top Word Pairs in Tweet in G7:
[183] artificial,intelligence [71] read,more [51] #deeplearning,#intoainews [40] deep,learning [29] more,#ai [24] #deeplearning,#learning [23] machine,learning [22] #ai,#ml [22] #machinelearning,#deeplearning [17] #ai,#deeplearning Top Word Pairs in Tweet in G8:
[80] artificial,intelligence [77] read,more [54] #deeplearning,#nlp [52] #datascience,#machinelearning [52] #bigdata,#deeplearning [50] #ai,#datascience [50] #nlp,#robots [49] more,#artificialintelligence [49] #artificialintelligence,#ai [49] #machinelearning,#bigdata Top Word Pairs in Tweet in G9:
[68] read,130 [68] 130,cheat [68] cheat,sheet [68] sheet,outlining [68] outlining,key [68] key,#machinelearning [68] #machinelearning,concepts [68] concepts,#ml [68] #ml,#bigdata [68] #bigdata,#ai Top Word Pairs in Tweet in G10:
[21] tutorial,generative [21] generative,adversarial [21] adversarial,networks [21] networks,gans [21] gans,#keras [21] #keras,#tensorflow [21] #tensorflow,intro [21] intro,gans [21] gans,implement [21] pyimagesearch,tutorial Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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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: