The graph represents a network of 6,891 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, 03 October 2020 at 01:40 UTC.
The requested start date was Saturday, 03 October 2020 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, 26-minute period from Wednesday, 30 September 2020 at 04:49 UTC to Friday, 02 October 2020 at 11:16 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 : 6891
Unique Edges : 7210
Edges With Duplicates : 9308
Total Edges : 16518
Number of Edge Types : 5
Tweet : 2743
Retweet : 3636
MentionsInRetweet : 6763
Replies to : 1058
Mentions : 2318
Self-Loops : 2787
Reciprocated Vertex Pair Ratio : 0.00878927708196001
Reciprocated Edge Ratio : 0.0174253975168809
Connected Components : 1714
Single-Vertex Connected Components : 1093
Maximum Vertices in a Connected Component : 3947
Maximum Edges in a Connected Component : 12888
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 4.908267
Graph Density : 0.000193390802963585
Modularity : 0.530537
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 6,891 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, 03 October 2020 at 01:40 UTC.
The requested start date was Saturday, 03 October 2020 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, 26-minute period from Wednesday, 30 September 2020 at 04:49 UTC to Friday, 02 October 2020 at 11:16 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:
[3058] rtx,3080 [2393] geforce,rtx [1814] 3080,giveaway [1648] nvidia,geforce [1020] nvidiageforce,officialpcmr [1019] worldwide,rtx [1019] giveaway,partnered [1019] partnered,friends [1019] friends,nvidiageforce [1019] officialpcmr,giveaway Top Word Pairs in Tweet in G1:
[2407] rtx,3080 [1687] 3080,giveaway [1401] geforce,rtx [1007] nvidiageforce,officialpcmr [1006] worldwide,rtx [1006] giveaway,partnered [1006] partnered,friends [1006] friends,nvidiageforce [1006] officialpcmr,giveaway [1005] originpc,worldwide Top Word Pairs in Tweet in G2:
[415] geforce,rtx [396] nvidia,geforce [335] rtx,3080 [139] chance,win [138] enter,chance [132] giveaway,enter [132] origin,pc [132] #sweepstakes,#giveaway [125] graphics,card [107] 3080,graphics Top Word Pairs in Tweet in G3:
[179] corsair,nvidiageforceuk [157] geforce,rtx [134] nvidia,geforce [132] rtx,30 [131] 30,series [116] launch,nvidia [115] celebrate,launch [115] series,we've [115] we've,teamed [115] teamed,corsair Top Word Pairs in Tweet in G4:
[61] geforce,rtx [54] rtx,3070 [39] big,navi [36] first,full [36] full,report [36] report,amd's [36] amd's,big [36] navi,lineup [36] lineup,coming [36] coming,over Top Word Pairs in Tweet in G5:
[96] nvidia,reflex [94] valorant,が [94] が,nvidia [94] reflex,による低遅延モードに対応 [94] による低遅延モードに対応,geforce [94] geforce,900 [94] 900,シリーズ [94] シリーズ,以降でご利用いただけます [94] 以降でご利用いただけます,#フレームがゲームを制する [94] #フレームがゲームを制する,#playvalorant Top Word Pairs in Tweet in G6:
[103] クラッシュ問題がたくさん出た理由は,多分nvidiaが個体差を甘く見積もってて [103] 多分nvidiaが個体差を甘く見積もってて,gpu [103] gpu,boostをバカみたいに盛り過ぎるドライバを出しちゃったんだと思う [103] boostをバカみたいに盛り過ぎるドライバを出しちゃったんだと思う,後から出た [103] 後から出た,456 [103] 456,55 [103] 55,では [103] では,見事にgpu [103] 見事にgpu,boostの効き方が [103] boostの効き方が,おだやか Top Word Pairs in Tweet in G7:
[106] mayor,sorteo [106] sorteo,vida [106] vida,regalo [106] regalo,pc [106] pc,nuevo [106] nuevo,1800 [106] 1800,gráfica [106] gráfica,rtx [106] rtx,3080 [106] 3080,nvidia Top Word Pairs in Tweet in G8:
[76] nvidia,geforce [60] geforce,rtx [31] 3090,3080を搭載したtuf [31] 3080を搭載したtuf,gamingシリーズ [31] gamingシリーズ,ocモデル2製品を発表 [30] rtx,3090 [30] ocモデル2製品を発表,prtimes_jpより [29] asusrogjp,nvidia [22] 新製品情報,gv [22] 10gd,gigabyte Top Word Pairs in Tweet in G9:
[62] intel,i9 [62] i9,10900k [62] 10900k,processor [62] processor,nvidia [62] nvidia,3090 [62] 3090,rtx [62] rtx,installed [62] installed,thanks [62] thanks,nzxt [62] nzxt,many Top Word Pairs in Tweet in G10:
[47] nvidia,geforce [43] saw,amazon [39] geforce,rtx [23] rtx,3080 [21] graphics,card [20] 99,amazon [16] windows,10 [16] amazon,asus [16] card,pcie [16] gddr6x,hdmi Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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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:
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Top Tweeters in G10: