The graph represents a network of 7,084 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 March 2021 at 01:40 UTC.
The requested start date was Saturday, 27 March 2021 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, 25-minute period from Wednesday, 24 March 2021 at 18:34 UTC to Saturday, 27 March 2021 at 00:00 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 : 7084
Unique Edges : 5178
Edges With Duplicates : 8497
Total Edges : 13675
Number of Edge Types : 5
Retweet : 2948
MentionsInRetweet : 3884
Tweet : 3008
Replies to : 1492
Mentions : 2343
Self-Loops : 3072
Reciprocated Vertex Pair Ratio : 0.021998450813323
Reciprocated Edge Ratio : 0.0430498711535546
Connected Components : 2266
Single-Vertex Connected Components : 1246
Maximum Vertices in a Connected Component : 2732
Maximum Edges in a Connected Component : 7907
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.209578
Graph Density : 0.000131477273624116
Modularity : 0.49459
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 7,084 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 March 2021 at 01:40 UTC.
The requested start date was Saturday, 27 March 2021 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, 25-minute period from Wednesday, 24 March 2021 at 18:34 UTC to Saturday, 27 March 2021 at 00:00 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:
[837] nvidia,geforce [748] geforce,rtx [450] nvidia,rtx [443] rtx,3070 [330] core,i7 [305] gaming,pc [304] rtx,3080 [293] intel,core [284] nintendo,switch [250] 3070,gaming Top Word Pairs in Tweet in G1:
[292] nvidia,geforce [284] geforce,rtx [151] utc,#ad [142] #ad,#rtx [140] #rtx,#nvidia [139] #nvidia,#stock [139] #stock,#amd [139] #amd,#amazon [123] rtx,3080 [79] intel,core Top Word Pairs in Tweet in G2:
[51] april,12 [46] ceo,jensen [46] jensen,huang [45] learn,more [39] #gtc21,keynote [37] 12,16 [34] deep,learning [30] using,nvidia [26] register,#gtc21 [26] nvidia,rtx Top Word Pairs in Tweet in G3:
[244] giving,750 [244] 750,nvidia [244] nvidia,rtx [244] rtx,3070 [244] 3070,gaming [244] gaming,pc [244] pc,one [244] one,lucky [244] lucky,winner [244] winner,retweets Top Word Pairs in Tweet in G4:
[62] nvidia,dlss [31] thefabledwoods,nvidia [30] 4k,#rtxon [28] available,thefabledwoods [28] dlss,delivers [28] delivers,6x [28] 6x,performance [28] performance,boosts [28] boosts,4k [27] nvidiageforce,available Top Word Pairs in Tweet in G5:
[43] amd,nvidia [36] nvidia,intel [31] intel,erichgarciacruz [29] #cubaesunpais,#nomas403 [29] #nomas403,amd [27] josealb11032487,#cubaesunpais [11] nvidia,amd [10] nvidia,geforce [8] reaches,version [8] intel,amd Top Word Pairs in Tweet in G6:
[96] deep,learning [87] sample,image [87] image,generated [87] generated,random [87] random,point [87] point,latent [87] latent,space [87] space,#machinelearning [87] #machinelearning,#urban [87] #urban,#dreamscape Top Word Pairs in Tweet in G7:
[81] nintendo,switch [37] bloomberg報道,次期 [37] 次期,nintendo [37] switch,4k出力対応か [37] 4k出力対応か,任天堂が年末商戦に向けて新型の [37] 任天堂が年末商戦に向けて新型の,nintendo [37] switch,を準備していると報じた [36] excitejapan,bloomberg報道 [36] を準備していると報じた,米nvidia製のチッ [20] nvidia,geforce Top Word Pairs in Tweet in G8:
[31] nintendo,switch [25] nvidia,dlss [25] dlss,make [25] make,nintendo [25] switch,better [20] wait,gamestop [20] gamestop,sells [20] sells,gpus [20] verge,nvidia [19] verge,wait Top Word Pairs in Tweet in G9:
[111] nvidia,ansel [109] lidia,sobieska [108] super,resolution [104] sobieska,round [102] nickval33181359,lidia [53] #tekken,#tekken7 [53] #tekken7,#vgpunite [52] round,one [52] one,nvidia [52] ansel,11520x6480 Top Word Pairs in Tweet in G10:
[21] path,tracing [21] tracing,nanovdb [21] nanovdb,dynamic [21] dynamic,volumes [21] volumes,time [21] time,yes [21] yes,see [21] see,nihofm's [21] nihofm's,i3d [21] i3d,2021 Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: