The graph represents a network of 7,395 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 Sunday, 28 February 2021 at 02:42 UTC.
The requested start date was Saturday, 27 February 2021 at 01:01 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, 2-hour, 24-minute period from Wednesday, 24 February 2021 at 22:36 UTC to Saturday, 27 February 2021 at 01:01 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 : 7395
Unique Edges : 4476
Edges With Duplicates : 9465
Total Edges : 13941
Number of Edge Types : 5
Replies to : 1081
Mentions : 2069
Retweet : 3665
MentionsInRetweet : 4357
Tweet : 2769
Self-Loops : 2806
Reciprocated Vertex Pair Ratio : 0.0130619684082625
Reciprocated Edge Ratio : 0.0257871064467766
Connected Components : 2151
Single-Vertex Connected Components : 1337
Maximum Vertices in a Connected Component : 3481
Maximum Edges in a Connected Component : 8624
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.649594
Graph Density : 0.000121985499636695
Modularity : 0.50732
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 7,395 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 Sunday, 28 February 2021 at 02:42 UTC.
The requested start date was Saturday, 27 February 2021 at 01:01 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, 2-hour, 24-minute period from Wednesday, 24 February 2021 at 22:36 UTC to Saturday, 27 February 2021 at 01:01 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:
[1022] nvidia,rtx [982] rtx,3070 [858] nvidia,geforce [848] gaming,pc [842] geforce,rtx [837] pc,one [837] one,lucky [837] lucky,winner [837] winner,retweets [837] retweets,tags Top Word Pairs in Tweet in G1:
[333] nvidia,geforce [281] geforce,rtx [161] rtx,3060 [143] rog,strix [142] asus,nvidia [132] rtx,3070 [113] lt,amazon [113] amazon,gt [106] 搭載,トリプルファンモデル [95] 3070,搭載 Top Word Pairs in Tweet in G2:
[833] nvidia,rtx [833] gaming,pc [833] pc,one [833] one,lucky [833] lucky,winner [833] winner,retweets [833] retweets,tags [724] giving,750 [724] 750,nvidia [724] rtx,3070 Top Word Pairs in Tweet in G3:
[45] transfer,learning [43] learning,toolkit [40] deep,learning [39] pre,trained [34] models,transfer [29] data,science [29] trained,models [23] nvidia,deep [23] brand,production [23] production,quality Top Word Pairs in Tweet in G4:
[45] geforce,rtx [42] rtx,3060 [35] nvidia,geforce [34] demo,available [32] available,nvidia [27] nvidiageforce,nvidia [27] outriders,demo [25] nvidia,dlss [24] learn,more [22] available,geforce Top Word Pairs in Tweet in G5:
[171] rtx,3060の性能はrtx [171] 3060の性能はrtx,2060 [171] 2060,superより [171] superより,少し良い程度 [171] 少し良い程度,しかし国内価格は5万円後半とのこと [171] しかし国内価格は5万円後半とのこと,せめてrtx [171] せめてrtx,2060と同じ価格なら許せるけど [171] 2060と同じ価格なら許せるけど,値上げしてこの程度じゃ [171] 値上げしてこの程度じゃ,退化 [171] 退化,tom's Top Word Pairs in Tweet in G6:
[39] やじうまpc,watch [39] watch,3060ドライバ制限の解除を [35] 3060ドライバ制限の解除を,linus氏がnvidiaのマイニング対策に苦言 [29] 米半導体nvidia,53 [29] 53,増益 [29] 増益,11 [29] 11,1月期ゲーム好調 [28] nikkei,米半導体nvidia [26] ゲノムの二次解析をgpuで数十倍高速化,nvidiaの技術が東大医科研のスパコンに全面導入 [25] nvidia,売り上げ最高も Top Word Pairs in Tweet in G7:
[78] 増,q3 [39] nvidiaが過去最高の売上高をたたき出す,ゲームとデータセンター事業で特に大幅な収益増を記録 [38] gigazine,nvidiaが過去最高の売上高をたたき出す [30] nvidia,nvda [30] nvda,決算 [26] 決算,予想を上回る [26] 予想を上回る,ゲームとデータセンターが牽引 [26] ゲームとデータセンターが牽引,前年比61 [26] 前年比61,増 [26] q3,57 Top Word Pairs in Tweet in G8:
[56] rtx,3060 [43] review,nvidia [42] nvidia,rtx [35] salty,review [35] 3060,youtube [26] jayztwocents,salty [9] 3060,review [7] rtx,2060 [7] uhhh,know [7] know,long Top Word Pairs in Tweet in G9:
[36] rtx,3060 [31] verge,nvidia [29] nvidia,made [29] made,billion [29] billion,during [29] during,gpu [29] gpu,shortage [29] shortage,expects [29] expects,again [29] again,q1 Top Word Pairs in Tweet in G10:
[31] nvidia,fiskerinc [31] fiskerinc,twitter [31] twitter,airbnb [31] airbnb,salesforce [31] salesforce,jimcramer [24] madmoneyoncnbc,nvidia [15] predicted,nvidia [15] nvidia,erase [15] erase,gains [15] gains,during Top Replied-To in Entire Graph:
Top Replied-To in G3:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G10: