The graph represents a network of 3,764 Twitter users whose recent tweets contained "nvidia", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 March 2023 at 03:17 UTC.
The tweets in the network were tweeted over the 1382-day, 15-hour, 9-minute period from Tuesday, 28 May 2019 at 09:51 UTC to Saturday, 11 March 2023 at 01:00 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 : 3764
Unique Edges : 2348
Edges With Duplicates : 7289
Total Edges : 9637
Number of Edge Types : 9
Tweet : 3008
Retweet : 1372
MentionsInRetweet : 1818
Replies to : 1121
MentionsInReplyTo : 1669
Mentions : 478
Quote : 80
MentionsInQuote : 62
MentionsInQuoteReply : 29
Self-Loops : 3318
Reciprocated Vertex Pair Ratio : 0.0628985507246377
Reciprocated Edge Ratio : 0.118352877011181
Connected Components : 1227
Single-Vertex Connected Components : 712
Maximum Vertices in a Connected Component : 1091
Maximum Edges in a Connected Component : 3246
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.856474
Graph Density : 0.000258897035088844
Modularity : 0.402139
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,764 Twitter users whose recent tweets contained "nvidia", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/10/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 11 March 2023 at 03:17 UTC.
The tweets in the network were tweeted over the 1382-day, 15-hour, 9-minute period from Tuesday, 28 May 2019 at 09:51 UTC to Saturday, 11 March 2023 at 01:00 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 : TwitterSearch2
Graph Term : nvidia
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:
[1086] geforce,rtx [841] nvidia,geforce [331] #ad,mar [329] atc,link [311] #roboflow,#ai [311] confidence,score [311] photo,crop [311] #ai,confidence [311] automated,photo [311] crop,#roboflow Top Word Pairs in Tweet in G1:
[824] geforce,rtx [600] nvidia,geforce [235] rtx,4090 [204] inventory,bot [204] app,notified [204] 99,link [204] notified,minutes [204] minutes,faster [204] #ad,ts [204] bot,app Top Word Pairs in Tweet in G2:
[38] go,ml [38] ai,miss [38] ml,ai [38] alx,go [38] miss,nvidia's [38] nvidia's,nvidiagtc [38] free,ai [38] nvidiagtc,free [38] student,alx [37] julienbarbier42,student Top Word Pairs in Tweet in G3:
[180] graphics,price [180] ssd,16gb [180] 000,computer [179] computer,village [178] price,n495 [178] nvidia,gtx [178] 256gb,ssd [178] 8th,gen [178] gen,1tb [178] leopard,gf63 Top Word Pairs in Tweet in G4:
[58] path,tracing [57] cyberpunk,2077 [41] videocardz,nvidia [34] rtx,path [31] rtx,30 [30] founders,edition [28] geforce,rtx [24] nvidia,geforce [22] 30,founders [22] rtx,4090 Top Word Pairs in Tweet in G5:
[27] nintendo,nvidia [23] nintendo,steam [23] renewable,nintendo [23] sony,ps [23] 10,years [23] geforcenow,sony [23] nvidia,geforcenow [23] cod,contract [23] steam,nvidia [23] contract,10 Top Word Pairs in Tweet in G6:
[7] machine,learning [4] conference,next [4] weights_biases,conference [4] leaders,machine [4] next,week [4] week,stacked [4] stacked,leaders [3] _scottcondron,weights_biases [3] learning,jeremyph [3] solutions,used Top Word Pairs in Tweet in G7:
[21] geforce,rtx [13] learn,more [12] ti,learn [12] 4070,ti [12] #cyberpunk2077,1440p [12] dlss,multiply [12] 1440p,geforce [12] performance,#cyberpunk2077 [12] multiply,performance [12] rtx,4070 Top Word Pairs in Tweet in G8:
[8] silicon,valley [7] valley,bank [5] groq,adapts [5] chatbot,chips [5] acaba,quebrar [5] chips,race [5] meta's,chatbot [5] amazon,nvidia [5] race,against [5] adapts,meta's Top Word Pairs in Tweet in G9:
[52] nvidia,gtc [52] gran,evento [52] importante,ia [52] 20,23 [52] nvidia,año [52] marzo,volverá [52] próximo,20 [52] 23,marzo [52] año,importante [52] volverá,gran Top Word Pairs in Tweet in G10:
[7] #ukraine,#fortnitemega [7] 8g,nvidia [7] #nvidia,#graphicdesigner [7] 0x16,dp [7] #battlefield2042,#usa [7] dp,gpu [7] #fortnitemega,#nvidia [7] #usa,#ukraine [7] 256bit,pcie4 [7] pcie4,0x16 Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G6:
Top Replied-To in G7:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: