The graph represents a network of 5,301 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, 20 August 2022 at 02:30 UTC.
The requested start date was Saturday, 20 August 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, 6-hour, 38-minute period from Tuesday, 16 August 2022 at 21:02 UTC to Friday, 19 August 2022 at 03:40 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 : 5301
Unique Edges : 3611
Edges With Duplicates : 8847
Total Edges : 12458
Number of Edge Types : 5
Replies to : 766
Mentions : 1483
Tweet : 4120
Retweet : 2605
MentionsInRetweet : 3484
Self-Loops : 4170
Reciprocated Vertex Pair Ratio : 0.0163808055502024
Reciprocated Edge Ratio : 0.0322335987864998
Connected Components : 1450
Single-Vertex Connected Components : 811
Maximum Vertices in a Connected Component : 1729
Maximum Edges in a Connected Component : 5019
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.162658
Graph Density : 0.000187718230451357
Modularity : 0.440934
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 5,301 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, 20 August 2022 at 02:30 UTC.
The requested start date was Saturday, 20 August 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, 6-hour, 38-minute period from Tuesday, 16 August 2022 at 21:02 UTC to Friday, 19 August 2022 at 03:40 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:
[1823] geforce,rtx [1796] nvidia,geforce [648] rtx,3060 [466] graphics,card [410] link,atc [390] oc,edition [389] earn,qualifying [389] qualifying,purchases [388] amazon,associate [388] associate,earn Top Word Pairs in Tweet in G1:
[1126] nvidia,geforce [846] geforce,rtx [358] edt,#ad [345] pm,edt [288] reason,sold [267] #ad,aug [253] atc,link [214] oc,edition [210] rtx,3080 [184] graphic,card Top Word Pairs in Tweet in G2:
[25] nvidia,applying [25] applying,#ai [25] #ai,towards [25] towards,enhancing [25] enhancing,#metaverse [25] #metaverse,user [25] user,experience [25] experience,nvidia [25] nvidia,pierrepinna [24] deeplearn007,nvidia Top Word Pairs in Tweet in G3:
[298] last,10 [298] 10,years [298] years,asset [298] asset,return [298] return,bitcoin [298] bitcoin,206 [298] 206,440 [298] 440,tesla [298] tesla,14 [298] 14,709 Top Word Pairs in Tweet in G4:
[241] nvidia,graphics [240] graphics,card [239] heads,pc [239] pc,players [239] players,nvidia [239] card,getting [239] getting,crash [239] crash,playapex [239] playapex,error [239] error,codes Top Word Pairs in Tweet in G5:
[140] elev,angle [140] automated,photo [140] photo,crop [140] crop,#roboflow [140] #roboflow,#ai [115] #nvidia,#jetson [114] #ai,confidence [114] confidence,score [114] #objectdetection,#machinelearning [114] #machinelearning,#nvidia Top Word Pairs in Tweet in G6:
[153] vrchatで動画見れない問題が再び発生,なぜエラーが出る [153] なぜエラーが出る,と調べまくってnvidia設定で垂直同期をオフにしたら解決 [153] と調べまくってnvidia設定で垂直同期をオフにしたら解決,このページも参考にした [152] ren_1904vrc,vrchatで動画見れない問題が再び発生 Top Word Pairs in Tweet in G7:
[118] nvidia様との合同キャンペーン,抽選で1名様にグラボホワイトモデルが当たる [118] 抽選で1名様にグラボホワイトモデルが当たる,お盆休みスペシャルサマーキャンペーン [118] お盆休みスペシャルサマーキャンペーン,賞品 [118] 賞品,zotac [118] zotac,gaming [118] gaming,geforce [118] geforce,rtx [118] rtx,3060 [118] 3060,ti [118] ti,white Top Word Pairs in Tweet in G8:
[27] día,hoy [25] auronplay,muchísimas [25] muchísimas,gracias [25] gracias,capítulo [25] capítulo,número [25] número,tortillaland [25] tortillaland,estuvo [25] estuvo,divertido [25] divertido,día [24] auronbuho,'' Top Word Pairs in Tweet in G9:
[42] news,三次元スキャンなどに有用な高速かつ高性能なニューラル場 [42] 三次元スキャンなどに有用な高速かつ高性能なニューラル場,#neuralfields [42] #neuralfields,を構築することの出来るpytorch研究ライブラリのnvidia [42] を構築することの出来るpytorch研究ライブラリのnvidia,kaolin [42] kaolin,wispをリリースしました [42] wispをリリースしました,instant [41] yongyuanxi,news [41] instant,ngpやnglod [28] kaolin,wisp [25] open,source Top Word Pairs in Tweet in G10:
[134] refurbished,ex [134] ex,dell [134] dell,precision [134] precision,7510 [134] 7510,7th [134] 7th,gen [134] gen,core [134] core,i7 [134] i7,7820hq [134] 7820hq,intel Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
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:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: