The graph represents a network of 1,100 Twitter users whose recent tweets contained "#GTC24", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 40,000 tweets, tweeted between 1/1/2024 12:00:00 AM and 3/6/2024 4:51:12 PM. The network was obtained from Twitter on Thursday, 07 March 2024 at 02:07 UTC.
The tweets in the network were tweeted over the 299-day, 3-hour, 2-minute period from Friday, 12 May 2023 at 21:46 UTC to Thursday, 07 March 2024 at 00:49 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 1100
Unique Edges : 1852
Edges With Duplicates : 3973
Total Edges : 5825
Number of Edge Types : 9
Mentions : 935
Retweet : 930
MentionsInRetweet : 534
Tweet : 3283
MentionsInReplyTo : 24
Replies to : 34
Quote : 49
MentionsInQuote : 34
MentionsInQuoteReply : 2
Self-Loops : 3321
Reciprocated Vertex Pair Ratio : 0.0159383033419023
Reciprocated Edge Ratio : 0.0313765182186235
Connected Components : 169
Single-Vertex Connected Components : 145
Maximum Vertices in a Connected Component : 878
Maximum Edges in a Connected Component : 5395
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.214375
Graph Density : 0.0016345438001489
Modularity : 0.290247
NodeXL Version : 1.0.1.529
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=294564
Data Import : The graph represents a network of 1,100 Twitter users whose recent tweets contained "#GTC24", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 40,000 tweets, tweeted between 1/1/2024 12:00:00 AM and 3/6/2024 4:51:12 PM. The network was obtained from Twitter on Thursday, 07 March 2024 at 02:07 UTC.
The tweets in the network were tweeted over the 299-day, 3-hour, 2-minute period from Friday, 12 May 2023 at 21:46 UTC to Thursday, 07 March 2024 at 00:49 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch3
Graph Term : #GTC24
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[573] join,#gtc24 [526] #gtc24,learn [308] #gtc24,session [291] march,20 [241] #gtc24,explore [235] register,today [232] accelerated,computing [201] nvidia,#gtc24 [194] march,18 [191] deep,dive Top Word Pairs in Tweet in G1:
[160] nvidia's,#gtc24 [150] dive,future [146] register,nvidia's [146] deep,dive [146] field,technologies [146] technologies,more [146] #gtc24,deep [146] gpu,ai [146] rendering,light [146] ai,rendering Top Word Pairs in Tweet in G2:
[65] #gtc24,learn [44] #gtc24,session [37] join,#gtc24 [32] join,person [30] #gtc24,join [29] #gtc24,discover [29] join,nvidia [29] #gtc24,hear [28] march,18 [27] #gtc24,explore Top Word Pairs in Tweet in G3:
[92] google,cloud [47] #gtc24,learn [44] ai,workloads [42] scale,ai [40] register,#googlecloud [34] session,learn [34] future,ai [32] cloud,experts [32] register,today [28] live,session Top Word Pairs in Tweet in G4:
[479] join,#gtc24 [381] #gtc24,learn [256] march,20 [241] #gtc24,session [183] #gtc24,explore [174] rtx,pcs [173] register,today [168] accelerated,computing [137] march,19 [132] sessions,#gtc24 Top Word Pairs in Tweet in G5:
[30] #gtc24,learn [27] join,#gtc24 [20] march,20 [20] nvidiaai,#gtc24 [18] ai,day [17] 月,22 [17] 日,金 [17] と併催の,japan [17] 10,時よりオンラインで開催 [17] #gtc24,と併催の Top Word Pairs in Tweet in G6:
[16] industry,leaders [16] venturebeat,nvidia [16] calendars,venturebeat [16] 18,21 [16] mark,calendars [16] march,18 [16] interviews,industry [16] 21,interviews [16] nvidia,#gtc24 [16] #gtc24,march Top Word Pairs in Tweet in G7:
[50] edge,ai [25] presentation,swift [25] path,edge [25] impulse,nvidia [25] leverage,power [25] edge,impulse [25] journey,miss [25] miss,presentation [25] nvidia,edge [25] ai,journey Top Word Pairs in Tweet in G8:
[17] nvidia,#gtc24 [17] rtx,4090 [17] サイン入りgpu,geforce [17] ai,japan [17] #gtc24,開催記念 [17] ジェンスン,フアン [17] ceo,ジェンスン [17] stability,ai [17] geforce,rtx [17] 4090,が当たる Top Word Pairs in Tweet in G9:
[14] inverted,head [14] pop,#ai [14] #ai,coins [14] tock,inverted [14] coins,back [14] #gtc24,fast [14] h4,tick [14] mpix,h4 [14] tick,tock [14] menu,#gtc24 Top Word Pairs in Tweet in G10:
[6] knowledge,strategies [6] leaders,knowledge [6] hpe,ai [6] provide,business [6] sparks,vp [6] ai,mission [6] mission,possible [6] make,ai [6] ai,provide [6] evan,sparks 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 G5:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G8:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: