The graph represents a network of 5,428 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, 27 August 2022 at 02:31 UTC.
The requested start date was Saturday, 27 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, 5-hour, 14-minute period from Tuesday, 23 August 2022 at 22:27 UTC to Friday, 26 August 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 : 5428
Unique Edges : 2912
Edges With Duplicates : 8572
Total Edges : 11484
Number of Edge Types : 5
Retweet : 2666
MentionsInRetweet : 2969
Tweet : 4303
Replies to : 627
Mentions : 919
Self-Loops : 4341
Reciprocated Vertex Pair Ratio : 0.00914340712223292
Reciprocated Edge Ratio : 0.0181211254172628
Connected Components : 1779
Single-Vertex Connected Components : 1193
Maximum Vertices in a Connected Component : 1561
Maximum Edges in a Connected Component : 3648
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.373302
Graph Density : 0.000142373370191538
Modularity : 0.417085
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 5,428 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, 27 August 2022 at 02:31 UTC.
The requested start date was Saturday, 27 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, 5-hour, 14-minute period from Tuesday, 23 August 2022 at 22:27 UTC to Friday, 26 August 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:
[2244] geforce,rtx [1746] nvidia,geforce [831] rtx,3080 [691] rtx,3060 [631] 電ファミ,numanの夏休み超特大プレゼント祭り [631] numanの夏休み超特大プレゼント祭り,nvidiaさまより [631] nvidiaさまより,geforce [631] 3080,グラフィックスカードを1名様に [631] グラフィックスカードを1名様に,steamギフトカード [631] steamギフトカード,000円分を20名様にプレゼント Top Word Pairs in Tweet in G1:
[1580] nvidia,geforce [1438] geforce,rtx [648] rtx,3060 [619] link,atc [587] amazon,associate [587] associate,earn [587] earn,qualifying [587] qualifying,purchases [558] atc,amazon [536] v2,oc Top Word Pairs in Tweet in G2:
[632] geforce,rtx [629] 電ファミ,numanの夏休み超特大プレゼント祭り [629] numanの夏休み超特大プレゼント祭り,nvidiaさまより [629] nvidiaさまより,geforce [629] rtx,3080 [629] 3080,グラフィックスカードを1名様に [629] グラフィックスカードを1名様に,steamギフトカード [629] steamギフトカード,000円分を20名様にプレゼント [628] denfaminicogame,電ファミ [628] 000円分を20名様にプレゼント,denfaminico Top Word Pairs in Tweet in G3:
[38] 去年6月に発表された,nvidia [38] nvidia,の [38] の,canvas [38] canvas,適当な線や落書きをaiが汲み取って瞬時にリアルな風景に変えてくれるペイントソフト [38] 適当な線や落書きをaiが汲み取って瞬時にリアルな風景に変えてくれるペイントソフト,風景に変える様子が凄すぎる [37] gijigae,去年6月に発表された [21] high,performance [16] powered,nvidia [16] watch2win,back [16] first,time Top Word Pairs in Tweet in G4:
[87] nvidia,nvda [49] stockmktnewz,nvidia [44] nvda,ceo [44] ceo,jensen [43] jensen,huang [42] auto,industry [33] huang,expects [33] expects,auto [33] industry,nvidia's [33] nvidia's,next Top Word Pairs in Tweet in G5:
[117] ark,invest [117] invest,sold [117] sold,50 [117] 50,million [117] million,worth [117] worth,nvidia [117] nvidia,nvda [117] nvda,shares [117] shares,today [116] watcherguru,ark Top Word Pairs in Tweet in G6:
[49] nvidia,nvda [48] nvda,決算 [48] 決算,予想を下回る [48] 予想を下回る,ガイダンス [48] ガイダンス,データセンターはokだが [48] データセンターはokだが,ゲーミングが33 [48] ゲーミングが33,減 [48] 減,マイニング [48] マイニング,ハイエンド製品高騰 [48] ハイエンド製品高騰,サプライチェーン Top Word Pairs in Tweet in G7:
[81] nvidia,control [81] control,panel [79] panel,settings [67] settings,gaming [67] gaming,make [67] make,game [67] game,look [67] look,great [67] great,manage [67] manage,3d Top Word Pairs in Tweet in G8:
[4] nvidiageforce,nvidia [4] world,premiere [4] premiere,black [4] black,myth [4] myth,wukong [4] wukong,exclusive [4] exclusive,look [4] look,definitive [4] definitive,#rtxon [4] #rtxon,experience Top Word Pairs in Tweet in G9:
[16] nvidia,grace [16] grace,cpu [13] dyinglightgame,cyberpunkgame [10] ptg_insomniac,dyinglightgame [9] rtx,40 [8] data,center [8] geforce,rtx [8] hms1193,nvidia [8] ps5,xsx [7] hot,chips Top Word Pairs in Tweet in G10:
[20] nvidia,forecasts [20] forecasts,sharp [20] sharp,drop [20] drop,third [20] third,quarter [20] quarter,sales [20] sales,games [20] games,drag [19] ended,sharply [19] sharply,higher Top Replied-To in Entire Graph:
Top Replied-To in G3:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: