The graph represents a network of 5,003 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, 04 June 2022 at 02:32 UTC.
The requested start date was Saturday, 04 June 2022 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, 22-minute period from Tuesday, 31 May 2022 at 21:18 UTC to Friday, 03 June 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 : 5003
Unique Edges : 3585
Edges With Duplicates : 9012
Total Edges : 12597
Number of Edge Types : 5
Tweet : 4285
Replies to : 821
Mentions : 1545
Retweet : 2583
MentionsInRetweet : 3363
Self-Loops : 4384
Reciprocated Vertex Pair Ratio : 0.0174626551651588
Reciprocated Edge Ratio : 0.0343258891645988
Connected Components : 1507
Single-Vertex Connected Components : 896
Maximum Vertices in a Connected Component : 1610
Maximum Edges in a Connected Component : 4827
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.224421
Graph Density : 0.000193246706913876
Modularity : 0.401878
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,003 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, 04 June 2022 at 02:32 UTC.
The requested start date was Saturday, 04 June 2022 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, 22-minute period from Tuesday, 31 May 2022 at 21:18 UTC to Friday, 03 June 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:
[2197] geforce,rtx [1853] nvidia,geforce [787] rtx,3060 [577] rtx,3080 [555] asus,rog [547] v2,oc [546] link,atc [525] rtx,3070 [519] amazon,associate [519] associate,earn Top Word Pairs in Tweet in G1:
[1528] geforce,rtx [1222] nvidia,geforce [645] rtx,3060 [546] link,atc [519] amazon,associate [519] associate,earn [519] earn,qualifying [519] qualifying,purchases [471] atc,amazon [450] v2,oc Top Word Pairs in Tweet in G2:
[16] nvidia,work [16] high,performance [13] powered,nvidia [11] learn,more [10] built,company [10] company,fundamentally [10] fundamentally,based [10] based,amdahl's [10] amdahl's,law [10] law,look Top Word Pairs in Tweet in G3:
[303] maingear,vybe [300] worldwide,giveaway [300] giveaway,we've [300] we've,teamed [300] teamed,friend [300] friend,zedd [300] zedd,bring [300] bring,one [300] one,lucky [300] lucky,winner Top Word Pairs in Tweet in G4:
[58] using,nvidia [49] learn,more [38] kingscollegelon,using [38] cambridge,supercomputer [37] researchers,kingscollegelon [33] nvidia,jetson [32] nvidia,cambridge [32] supercomputer,projectmonai [32] projectmonai,create [32] create,synthetic Top Word Pairs in Tweet in G5:
[98] nvidia,reflex [73] nvidiageforce,nvidia [63] system,latency [61] reducing,system [58] summer,rtx [58] reflex,available [58] making,gameplay [58] gameplay,smoother [51] nvidia,dlss [48] learn,more Top Word Pairs in Tweet in G6:
[45] nvidia,leak [16] wasn,nvidia [8] spider,man [7] nvidia,promoting [7] state,play [6] oh,spider [6] man,pc [6] pc,wasn [6] leak,huge [6] playstation,game Top Word Pairs in Tweet in G7:
[76] nvidia,promoting [76] state,play [75] tomwarren,nvidia [75] promoting,sony [75] sony,playstation [75] playstation,state [75] play,event [75] event,sounds [75] sounds,playstation [75] playstation,pc Top Word Pairs in Tweet in G8:
[90] core,i7 [86] asus,rog [73] thread,available [73] available,brand [73] brand,gaming [73] gaming,laptops [73] laptops,asus [73] rog,zephyrus [73] zephyrus,s17 [73] s17,intel Top Word Pairs in Tweet in G9:
[58] valorant,最強設定 [58] 最強設定,このnvidia設定できてないとpcの能力出てないらしいです [58] このnvidia設定できてないとpcの能力出てないらしいです,ご参考に [58] ご参考に,#valorant [57] namawahhuru,valorant Top Word Pairs in Tweet in G10:
[18] geforce,rtx [13] next,gen [13] rtx,4090 [13] 4090,august [13] august,rtx [13] rtx,4080 [13] 4080,september [13] september,rtx [13] rtx,4070 [12] wccftech,nvidia Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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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:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G5:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: