The graph represents a network of 4,860 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, 17 September 2022 at 02:26 UTC.
The requested start date was Saturday, 17 September 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, 5-hour, 50-minute period from Tuesday, 13 September 2022 at 21:51 UTC to Friday, 16 September 2022 at 03:42 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 : 4860
Unique Edges : 3283
Edges With Duplicates : 8631
Total Edges : 11914
Number of Edge Types : 5
Tweet : 4475
Replies to : 777
Mentions : 1408
Retweet : 2312
MentionsInRetweet : 2942
Self-Loops : 4522
Reciprocated Vertex Pair Ratio : 0.0203327171903882
Reciprocated Edge Ratio : 0.0398550724637681
Connected Components : 1548
Single-Vertex Connected Components : 945
Maximum Vertices in a Connected Component : 1231
Maximum Edges in a Connected Component : 4435
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.85819
Graph Density : 0.000187001847151398
Modularity : 0.39423
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 4,860 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, 17 September 2022 at 02:26 UTC.
The requested start date was Saturday, 17 September 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, 5-hour, 50-minute period from Tuesday, 13 September 2022 at 21:51 UTC to Friday, 16 September 2022 at 03:42 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:
[1884] geforce,rtx [1570] nvidia,geforce [991] rtx,3060 [647] elev,angle [647] automated,photo [647] photo,crop [647] crop,#roboflow [647] #roboflow,#ai [488] earn,qualifying [488] qualifying,purchases Top Word Pairs in Tweet in G1:
[1295] geforce,rtx [1124] nvidia,geforce [488] earn,qualifying [488] qualifying,purchases [486] amazon,associate [486] associate,earn [455] rtx,3060 [431] oc,edition [414] link,atc [414] atc,amazon Top Word Pairs in Tweet in G2:
[645] elev,angle [645] automated,photo [645] photo,crop [645] crop,#roboflow [645] #roboflow,#ai [462] #ai,confidence [459] confidence,score [459] #objectdetection,#machinelearning [459] #machinelearning,#nvidia [459] #nvidia,#jetson Top Word Pairs in Tweet in G3:
[319] 16gb,ram [304] 6gb,nvidia [297] anslemsolomon,brand [296] brand,dell [296] dell,alienware [296] alienware,x14 [296] x14,r1 [296] r1,core [296] core,17 [296] 17,12700h Top Word Pairs in Tweet in G4:
[88] geforce,rtx [86] nvidia,geforce [72] bestbuy,nvidia [72] 99,link [72] link,atc [72] atc,#bestbuy [72] #bestbuy,#nvidia [72] #ad,ts [27] rtx,3070 [25] rtx,4090 Top Word Pairs in Tweet in G5:
[75] kurze,zeit [75] zeit,exklusive [75] exklusive,rabatte [75] rabatte,comp_universe [75] comp_universe,ausgewählte [75] ausgewählte,nvidia [75] nvidia,grafikkarten [75] grafikkarten,sichern [74] nvidiageforcede,kurze [4] stunde,beginnt Top Word Pairs in Tweet in G6:
[75] 電ファミ,numanの夏休み超特大プレゼント祭り [75] numanの夏休み超特大プレゼント祭り,nvidiaさまより [75] nvidiaさまより,geforce [75] geforce,rtx [75] rtx,3080 [75] 3080,グラフィックスカードを1名様に [75] グラフィックスカードを1名様に,steamギフトカード [75] steamギフトカード,000円分を20名様にプレゼント [74] denfaminicogame,電ファミ [74] 000円分を20名様にプレゼント,denfaminico Top Word Pairs in Tweet in G7:
[69] 15,wqhd [69] wqhd,165hz [69] 165hz,amd [69] amd,ryzen [69] ryzen,6800h [69] 6800h,nvidia [67] #concours,#giveaways [67] #giveaways,#pc [67] #pc,pc [67] pc,plus Top Word Pairs in Tweet in G8:
[27] nvidia,reflex [13] rueducommerce,#geforcesquads2 [13] rueducommerce,nvidia [12] #geforcesquads2,nvidia [11] reflex,#geforcesquads2 [8] behind,scenes [7] nvidiastudio,nvidia [7] nvidia,headquarters [7] headquarters,objective [7] objective,#projectbeyond Top Word Pairs in Tweet in G9:
[25] chips,trouble [25] trouble,qualcomm [25] qualcomm,lost [25] lost,billion [24] billion,dollars [24] dollars,micron [24] micron,lost [24] lost,2billion [24] 2billion,nvidia [23] nvidia,lost Top Word Pairs in Tweet in G10:
[8] season,#podcast [8] #podcast,kicks [8] kicks,return [8] return,neilt3d [8] neilt3d,nvidia [8] nvidia,thekhronosgroup [8] thekhronosgroup,episode [8] episode,recaps [7] cesiumjs,season [7] recaps,bui Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G8:
Top Replied-To in G9:
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:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: