The graph represents a network of 2,258 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, 12 October 2022 at 16:27 UTC.
The requested start date was Wednesday, 12 October 2022 at 00:01 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, 4-hour, 29-minute period from Sunday, 09 October 2022 at 19:31 UTC to Wednesday, 12 October 2022 at 00:01 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 : 2258
Unique Edges : 1945
Edges With Duplicates : 13429
Total Edges : 15374
Number of Edge Types : 5
Mentions : 937
Retweet : 5604
MentionsInRetweet : 6863
Tweet : 1938
Replies to : 32
Self-Loops : 2098
Reciprocated Vertex Pair Ratio : 0.0210592160133445
Reciprocated Edge Ratio : 0.0412497447416786
Connected Components : 322
Single-Vertex Connected Components : 187
Maximum Vertices in a Connected Component : 1613
Maximum Edges in a Connected Component : 14299
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.868872
Graph Density : 0.000960892065743305
Modularity : 0.249278
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 2,258 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, 12 October 2022 at 16:27 UTC.
The requested start date was Wednesday, 12 October 2022 at 00:01 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, 4-hour, 29-minute period from Sunday, 09 October 2022 at 19:31 UTC to Wednesday, 12 October 2022 at 00:01 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:
[907] #artificialintelligence,#ai [824] #ai,#ml [657] #machinelearning,#datascience [650] assignment,help [650] quality,assignment [585] #ml,#datascience [529] exams,homework [525] ecology,anatomy [516] machine,learning [514] hmu,quality Top Word Pairs in Tweet in G1:
[624] assignment,help [624] quality,assignment [529] #machinelearning,#datascience [512] exams,homework [509] ecology,anatomy [503] #artificialintelligence,#ai [497] hmu,quality [492] homework,biology [484] biology,chemistry [472] pay,exams Top Word Pairs in Tweet in G2:
[74] pierrepinna,sallyeaves [74] xbond49,gvalan [73] pawlowskimario,xbond49 [73] sallyeaves,pawlowskimario [67] #ai,#machinelearning [66] future,ai [66] predicting,future [66] ai,#ai [66] #ai,pierrepinna [65] deeplearn007,predicting Top Word Pairs in Tweet in G3:
[53] #deeplearning,#intoainews [34] deep,learning [16] machine,learning [14] #art,#deeplearning [13] data,science [12] photo,vector [12] style,transfer [12] vector,illustration [12] illustration,#art [12] neural,style Top Word Pairs in Tweet in G4:
[67] data,science [65] go,deeper [65] #datascience,books [65] deeper,#bigdata [65] more,#datascience [65] plus,more [65] books,help [65] scratch,plus [65] science,scratch [65] help,go Top Word Pairs in Tweet in G5:
[117] #ai,#deeplearning [98] #deeplearning,#learning [78] #aiethics,#machinelearning [78] deep,learning [78] #deeplearning,#iot [67] data,science [65] machine,learning [49] #machinelearning,#artificialintelligence [41] #deeplearning,#bigdata [38] mikequindazzi,#ai Top Word Pairs in Tweet in G6:
[308] #artificialintelligence,#ai [294] #ai,#ml [209] #ml,#datascience [130] #datascience,#datascientists [85] #datascientists,#codenewbies [76] machine,learning [72] data,science [67] #ml,#datascienc [62] #codenewbies,#tech [60] bdanalyticsnews,look Top Word Pairs in Tweet in G7:
[67] deep,learning [20] #machinelearning,#deeplearning [15] artificial,intelligence [11] machine,learning [10] #analytics,#datascience [10] learning,model [8] #dl,#deeplearning [7] hackathon,04 [7] neural,networks [7] 04,06 Top Word Pairs in Tweet in G8:
[10] #deeplearning,models [10] ct,based [9] bias,radiology [8] radiology,#ai [8] fully,automated [7] data,handling [6] based,osteoporosis [6] ai,tools [6] step,step [6] #deeplearning,tool Top Word Pairs in Tweet in G9:
[19] télégram,co [14] #machinelearning,#datascience [11] #datascience,#5g [11] ralke0pgcn,#machinelearning [11] co,ralke0pgcn [11] #5g,#100daysofcode [10] #franceverte,#teampsg [10] #teampsg,#python [10] #100daysofcode,#franceverte [9] pandana11579265,télégram Top Word Pairs in Tweet in G10:
[20] position,#knowledgegraphs [20] #deeplearning,bound [20] postdoc,position [20] looking,challenge [20] challenge,offering [20] offering,postdoc [20] #knowledgegraphs,#deeplearning [19] bound,dedic [19] lysander07,looking Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G8:
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:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: