The graph represents a network of 6,347 Twitter users whose tweets in the requested range contained "nvidia", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 15 October 2022 at 02:28 UTC.
The requested start date was Saturday, 15 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, 3-hour, 2-minute period from Wednesday, 12 October 2022 at 00:39 UTC to Friday, 14 October 2022 at 03:42 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 : 6347
Unique Edges : 3201
Edges With Duplicates : 10741
Total Edges : 13942
Number of Edge Types : 5
Replies to : 826
Mentions : 1257
Retweet : 4271
MentionsInRetweet : 4895
Tweet : 2693
Self-Loops : 2725
Reciprocated Vertex Pair Ratio : 0.0097366320830008
Reciprocated Edge Ratio : 0.0192854884603225
Connected Components : 1211
Single-Vertex Connected Components : 708
Maximum Vertices in a Connected Component : 4030
Maximum Edges in a Connected Component : 10092
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.506421
Graph Density : 0.000157058202055501
Modularity : 0.457543
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 6,347 Twitter users whose tweets in the requested range contained "nvidia", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 15 October 2022 at 02:28 UTC.
The requested start date was Saturday, 15 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, 3-hour, 2-minute period from Wednesday, 12 October 2022 at 00:39 UTC to Friday, 14 October 2022 at 03:42 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 : 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:
[1477] rtx,4090 [1345] geforce,rtx [844] nvidia,geforce [818] nvidia,rtx [595] 522,25 [519] 4090,ti [499] vtube,studio [497] ti,は発熱しすぎて融解する問題で当分出回らないとのウワサ [430] nvidia,driver [410] driver,522 Top Word Pairs in Tweet in G1:
[588] nvidia,geforce [509] geforce,rtx [277] #ad,oct [276] atc,link [210] link,atc [209] associate,earn [209] atc,amazon [209] qualifying,purchases [209] earn,qualifying [209] amazon,associate Top Word Pairs in Tweet in G2:
[353] confidence,score [353] automated,photo [353] photo,crop [353] #ai,confidence [353] crop,#roboflow [353] #roboflow,#ai [280] #phx,#automated [280] #jetson,#phx [280] #machinelearning,#nvidia [280] #avgeek,#actualplaneserver Top Word Pairs in Tweet in G3:
[495] 522,25 [494] vtube,studio [380] newest,nvidia [380] nvidia,driver [378] due,incompatibility [378] driver,522 [378] incompatibility,newest [378] studio,crashes [378] 25,vtube [378] crashes,users Top Word Pairs in Tweet in G4:
[393] nvidia,rtx [393] ti,は発熱しすぎて融解する問題で当分出回らないとのウワサ [393] rtx,4090 [393] 4090,ti [392] gigazine,nvidia [4] r9,295x [4] amd,お前らも大概爆熱なんだから自重しろ [4] nvidiaも水冷を採用しろよ,amd [4] gigazine,fx [4] radeon,r9 Top Word Pairs in Tweet in G5:
[353] gpu,destroy [353] entire,power [353] one,days [353] nvidia,gpu [353] days,nvidia [353] destroy,entire [353] power,grid [352] rohancreates,one [10] nvidia,rtx [10] rtx,4090 Top Word Pairs in Tweet in G6:
[205] nvidia,dlss [122] rtx,4090 [113] geforce,rtx [101] dlss,delivering [75] enhanced,nvidia [73] nvidiageforce,experience [55] spider,man [55] marvel,spider [53] 2x,faster [53] nvidiageforce,marvel Top Word Pairs in Tweet in G7:
[315] enter,raffle [315] steps,below [315] raffle,follow [315] follow,steps [308] chance,win [304] below,follow [303] win,liquid [303] liquid,cooled [303] cooled,#gamingpc [303] #gamingpc,enter Top Word Pairs in Tweet in G8:
[246] winner,picked [246] win,cyberpower [246] gaming,bundle [246] cyberpower,gaming [246] bundle,retweet [246] retweet,winner [245] picked,ran [245] cyberpoweruk,win [39] rtx,4090 [23] geforce,rtx Top Word Pairs in Tweet in G9:
[238] geforce,rtx [222] rtx,4090 [221] 4gamernews,geforce [219] edition,レビュー [219] founders,edition [219] レビュー,謳い文句どおりの高性能で4k [219] 4090,founders [219] 消費電力はやはり大きい,#geforcertx4090 [219] レイトレも余裕だが,消費電力はやはり大きい [219] 謳い文句どおりの高性能で4k,レイトレも余裕だが Top Word Pairs in Tweet in G10:
[104] geforce,rtx [79] rtx,4090 [38] エルミタ的速攻撮って出しレビュー,vol [36] nvidiaの新世代フラッグシップ,geforce [36] 1202,nvidiaの新世代フラッグシップ [36] vol,1202 [36] 4090,の圧倒的なパフォーマンスを体感する [28] hermita_akiba,エルミタ的速攻撮って出しレビュー [23] nvidiaの新世代gpuハイエンドモデル,geforce [23] 6950,xtとも性能比較 Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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