The graph represents a network of 6,975 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 Monday, 15 March 2021 at 02:39 UTC.
The requested start date was Saturday, 13 March 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, 5-hour, 21-minute period from Wednesday, 10 March 2021 at 19:39 UTC to Saturday, 13 March 2021 at 01:00 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 : 6975
Unique Edges : 4824
Edges With Duplicates : 8700
Total Edges : 13524
Number of Edge Types : 5
Replies to : 1283
Tweet : 2865
Mentions : 1776
Retweet : 3284
MentionsInRetweet : 4316
Self-Loops : 2913
Reciprocated Vertex Pair Ratio : 0.0187843616371411
Reciprocated Edge Ratio : 0.0368760305801229
Connected Components : 2067
Single-Vertex Connected Components : 1148
Maximum Vertices in a Connected Component : 2708
Maximum Edges in a Connected Component : 7653
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.548921
Graph Density : 0.000137140202266894
Modularity : 0.510198
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 6,975 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 Monday, 15 March 2021 at 02:39 UTC.
The requested start date was Saturday, 13 March 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, 5-hour, 21-minute period from Wednesday, 10 March 2021 at 19:39 UTC to Saturday, 13 March 2021 at 01:00 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:
[693] nvidia,geforce [563] geforce,rtx [488] nvidia,rtx [352] rtx,3070 [349] rtx,3060 [260] core,i7 [225] nvidia,dlss [218] games,xbox [210] graphics,card [194] nvidia,gtx Top Word Pairs in Tweet in G1:
[294] nvidia,geforce [218] geforce,rtx [122] rtx,3060 [90] nvidia,rtx [90] asustek,nvidia [86] rog,strix [78] rtx,3070 [61] 搭載,トリプルファンモデル [59] intel,core [58] rtx3060,o12g Top Word Pairs in Tweet in G2:
[128] deep,learning [119] sample,image [119] image,generated [119] generated,random [119] random,point [119] point,latent [119] latent,space [119] space,#machinelearning [119] #machinelearning,#urban [119] #urban,#dreamscape Top Word Pairs in Tweet in G3:
[64] nvidia,dlss [62] nvidia,reflex [53] nvidiageforce,nvidia [34] nvidia,nvidiageforce [28] dlss,entered [28] entered,chat [28] chat,#rtxon [26] reflex,low [26] low,latency [26] latency,mode Top Word Pairs in Tweet in G4:
[42] wind's,howling [42] howling,cooperation [42] cooperation,nvidiagfn [42] nvidiagfn,geforce [42] geforce,continues [42] continues,version [42] version,witcher [41] gogcom,wind's [40] witcher,senses [40] senses,tingling Top Word Pairs in Tweet in G5:
[154] need,help [154] help,theta_network [154] theta_network,community [154] community,push [154] push,top [154] top,10 [154] 10,monthly [154] monthly,let's [154] let's,overtake [154] overtake,intel Top Word Pairs in Tweet in G6:
[159] giving,750 [159] 750,nvidia [159] nvidia,rtx [159] rtx,3070 [159] 3070,gaming [159] gaming,pc [159] pc,one [159] one,lucky [159] lucky,winner [159] winner,retweets Top Word Pairs in Tweet in G7:
[213] games,xbox [107] xbox,series [106] damn,xbox [106] series,play [106] play,n64 [106] n64,games [106] games,ps1 [106] ps1,games [106] games,ps2 [106] ps2,games Top Word Pairs in Tweet in G8:
[38] low,end [35] overhead,problem [35] hardwareunboxed,nvidia [33] nvidia,overhead [33] problem,negatively [33] negatively,impact [33] impact,performance [33] performance,gaming [33] gaming,systems [33] systems,mid Top Word Pairs in Tweet in G9:
[73] crysis,remastered [73] nvidia,dlss [56] dlss,update [52] play,crysis [52] remastered,never [52] never,before [52] before,available [52] available,packing [52] packing,punch [52] punch,brand Top Word Pairs in Tweet in G10:
[75] expected,revenue [75] revenue,growth [75] growth,year [75] year,tesla [75] tesla,55 [75] 55,snap [75] snap,53 [75] 53,pinterest [75] pinterest,49 [75] 49,uber Top Replied-To in Entire Graph:
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Top Replied-To in G4:
Top Replied-To in G7:
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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:
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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 G10: