The graph represents a network of 5,551 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, 02 April 2022 at 01:57 UTC.
The requested start date was Saturday, 02 April 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, 4-minute period from Tuesday, 29 March 2022 at 22:37 UTC to Friday, 01 April 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 : 5551
Unique Edges : 3712
Edges With Duplicates : 8440
Total Edges : 12152
Number of Edge Types : 5
Mentions : 1392
Tweet : 4276
Retweet : 2505
MentionsInRetweet : 3177
Replies to : 802
Self-Loops : 4363
Reciprocated Vertex Pair Ratio : 0.0171114279894072
Reciprocated Edge Ratio : 0.0336471059483277
Connected Components : 1739
Single-Vertex Connected Components : 1042
Maximum Vertices in a Connected Component : 2112
Maximum Edges in a Connected Component : 5175
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 6.596721
Graph Density : 0.00016206803092049
Modularity : 0.443292
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,551 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, 02 April 2022 at 01:57 UTC.
The requested start date was Saturday, 02 April 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, 4-minute period from Tuesday, 29 March 2022 at 22:37 UTC to Friday, 01 April 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:
[2771] geforce,rtx [1994] nvidia,geforce [883] rtx,3090 [691] rtx,3080 [561] 3090,ti [545] rtx,3060 [512] rtx,3070 [454] 3080,ti [413] pm,edt [380] sold,amazon Top Word Pairs in Tweet in G1:
[1594] geforce,rtx [1229] nvidia,geforce [413] pm,edt [399] rtx,3060 [359] rtx,3080 [356] rtx,3070 [322] stock,alert [317] link,atc [304] edt,#ad [301] rtx,3090 Top Word Pairs in Tweet in G2:
[37] learn,more [21] nvidia,h100 [19] #speechrecognition,#texttospeech [17] high,performance [16] #ai,#iot [15] time,ray [15] predictive,maintenance [14] nvidia,dgx [13] last,week [13] louiscolumbus,nvidia Top Word Pairs in Tweet in G3:
[240] geforce,rtx [219] nvidia,geforce [211] rtx,3080 [209] laptops,love [209] 3080,ti [208] strix,scar [208] scar,15 [207] 15,nvidia [207] ti,fluid [207] fluid,fast Top Word Pairs in Tweet in G4:
[162] geforce,rtx [154] rtx,3090 [105] 3090,ti [49] 世界最速の,gpu [49] gpu,geforce [49] ti,が本日より提供開始 [49] が本日より提供開始,様々な方々に究極の体験をお届けします [49] 様々な方々に究極の体験をお届けします,熱狂的なゲーマー [49] 熱狂的なゲーマー,コンテンツ [49] コンテンツ,クリエイター Top Word Pairs in Tweet in G5:
[34] 3090,ti [26] amd,nvidia [22] nvidia,intel [21] geforce,rtx [20] preço,em [20] em,90 [20] 90,dias [18] performance,average [17] nvidia,3090 [17] 3090,3090 Top Word Pairs in Tweet in G6:
[99] ゲーミングpcプレゼント企画,alienware [99] alienware,aurora [99] aurora,r13のプレゼントを1名様に致します [99] r13のプレゼントを1名様に致します,core [99] core,i9 [99] i9,12900kf [99] 12900kf,nvidia [99] nvidia,geforce [99] geforce,rtx [99] rtx,3090 Top Word Pairs in Tweet in G7:
[45] extract,triangle [45] triangle,meshes [45] meshes,materials [45] materials,lighting [45] lighting,directly [45] directly,images [45] images,paper [45] paper,video [45] video,code [44] yoslber,extract Top Word Pairs in Tweet in G8:
[54] nvidia,nvda [48] tesla,tsla [41] returns,last [41] last,10 [41] 10,years [41] years,bitcoin [41] bitcoin,btc [41] btc,000 [41] 000,000 [41] 000,tesla Top Word Pairs in Tweet in G9:
[55] aorus15,xe [52] xe,aorusofficial [38] portátiles,encantan [36] nvidiageforcees,portátiles [33] destacamos,aorus15 [32] geforce,rtx [30] encantan,hoy [30] hoy,destacamos [30] aorusofficial,marcos [30] marcos,3mm Top Word Pairs in Tweet in G10:
[9] rtx,3090 [7] 3090,ti [6] amd,nvidia [6] nvidia,rtx [3] nvidia,instant [3] instant,nerf [3] nerf,end [3] end,photogrammetry [3] photogrammetry,youtube [3] nvidia,amd Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: