The graph represents a network of 5,812 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, 26 February 2022 at 02:57 UTC.
The requested start date was Saturday, 26 February 2022 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, 7-hour, 28-minute period from Tuesday, 22 February 2022 at 20:12 UTC to Friday, 25 February 2022 at 03:41 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 : 5812
Unique Edges : 3607
Edges With Duplicates : 9205
Total Edges : 12812
Number of Edge Types : 5
Retweet : 2761
MentionsInRetweet : 3340
Tweet : 3701
Replies to : 1088
Mentions : 1922
Self-Loops : 3827
Reciprocated Vertex Pair Ratio : 0.0208006279434851
Reciprocated Edge Ratio : 0.0407535563244906
Connected Components : 1776
Single-Vertex Connected Components : 1013
Maximum Vertices in a Connected Component : 2444
Maximum Edges in a Connected Component : 6950
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.560415
Graph Density : 0.000154025939602645
Modularity : 0.430405
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,812 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, 26 February 2022 at 02:57 UTC.
The requested start date was Saturday, 26 February 2022 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, 7-hour, 28-minute period from Tuesday, 22 February 2022 at 20:12 UTC to Friday, 25 February 2022 at 03:41 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:
[1533] geforce,rtx [1225] nvidia,geforce [487] rtx,3080 [460] nvidia,rtx [410] rtx,3060 [383] rtx,3070 [331] 02,2022 [288] grafikkarte,stock [288] stock,retailer [288] eur,link Top Word Pairs in Tweet in G1:
[786] geforce,rtx [546] nvidia,geforce [317] 02,2022 [288] grafikkarte,stock [288] stock,retailer [288] eur,link [288] link,time [285] nvidia,grafikkarte [226] rtx,3080 [223] rtx,3060 Top Word Pairs in Tweet in G2:
[89] elev,angle [89] automated,photo [89] photo,crop [89] crop,#roboflow [89] #roboflow,#ai [74] #nvidia,#jetson [73] #ai,confidence [73] confidence,score [73] #objectdetection,#machinelearning [73] #machinelearning,#nvidia Top Word Pairs in Tweet in G3:
[264] know,part [264] part,#marthaisdead [264] #marthaisdead,launch [264] launch,celebrations [264] celebrations,we've [264] we've,wicked [264] wicked,wired [264] wired,#competitions [264] #competitions,go [263] wiredp,know Top Word Pairs in Tweet in G4:
[186] nvidiaが最近出した論文がすごいかも,複数枚の写真から3dモデルを生成するのですが [186] 複数枚の写真から3dモデルを生成するのですが,今までとは全く違うレベルの精度 [186] 今までとは全く違うレベルの精度,ついにここまできたんですね [186] ついにここまできたんですね,co [186] co,kovskaiq1c [185] luckystar___,nvidiaが最近出した論文がすごいかも [3] nvidia,falcor [2] falcor,を使ってみる Top Word Pairs in Tweet in G5:
[38] learn,more [37] march,21 [23] join,nvidia [22] nvidia,#gdc22 [22] #gdc22,march [22] 21,25 [22] 25,see [22] see,#nvidiartx [22] #nvidiartx,technologies [22] technologies,transforming Top Word Pairs in Tweet in G6:
[49] nvidia,reflex [42] nvidia,sync [29] nvidiageforce,nvidia [27] reflex,provides [27] provides,lowest [27] lowest,system [27] system,latency [27] latency,competitive [27] competitive,games [27] games,see Top Word Pairs in Tweet in G7:
[111] anyone,having [111] having,frame [111] frame,rate [111] rate,instability [111] instability,please [111] please,read [111] read,confirm [111] confirm,rolling [111] rolling,back [111] back,nvidia Top Word Pairs in Tweet in G8:
[70] ico,ieo [70] ieo,private [70] private,sales [70] sales,vcs [70] vcs,sales [70] sales,flux [70] flux,#flux [70] #flux,#web3 [69] #web3,#web30 [69] #web30,#defi Top Word Pairs in Tweet in G9:
[83] blockworks_,nvidia [79] nvidia,ceo [79] ceo,high [79] high,hopes [79] hopes,metaverse [79] metaverse,open [79] open,everyone [7] blockworks_,iex_ec [7] iex_ec,nvidia [5] fryderyk3388,blockworks_ Top Word Pairs in Tweet in G10:
[81] utility,promising [81] promising,restore [81] restore,mining [81] mining,performance [81] performance,nvidia [81] nvidia,gpus [81] gpus,actually [81] actually,malware [81] malware,february [81] february,23 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: