The graph represents a network of 6,663 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, 31 July 2021 at 01:56 UTC.
The requested start date was Saturday, 31 July 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, 10-hour, 31-minute period from Tuesday, 27 July 2021 at 17:11 UTC to Friday, 30 July 2021 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 : 6663
Unique Edges : 4597
Edges With Duplicates : 7830
Total Edges : 12427
Number of Edge Types : 5
Tweet : 3490
Retweet : 2431
MentionsInRetweet : 3053
Replies to : 1437
Mentions : 2016
Self-Loops : 3539
Reciprocated Vertex Pair Ratio : 0.0223867442270404
Reciprocated Edge Ratio : 0.0437931034482759
Connected Components : 2176
Single-Vertex Connected Components : 1146
Maximum Vertices in a Connected Component : 1957
Maximum Edges in a Connected Component : 5441
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.441238
Graph Density : 0.000130663278793129
Modularity : 0.492372
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 6,663 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, 31 July 2021 at 01:56 UTC.
The requested start date was Saturday, 31 July 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, 10-hour, 31-minute period from Tuesday, 27 July 2021 at 17:11 UTC to Friday, 30 July 2021 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:
[1373] nvidia,geforce [1180] geforce,rtx [357] intel,core [353] rtx,3070 [343] rtx,3080 [303] nvidia,dlss [289] graphics,card [266] core,i7 [255] rtx,3060 [222] geforce,gtx Top Word Pairs in Tweet in G1:
[617] nvidia,geforce [533] geforce,rtx [179] rtx,3070 [159] rtx,3080 [136] geforce,gtx [123] graphics,card [120] 玄人志向,nvidia [118] intel,core [115] 3080,ti [111] rtx,3090 Top Word Pairs in Tweet in G2:
[39] learn,more [28] connecting,metaverse [28] metaverse,making [28] deep,learning [24] over,week [24] week,global [24] global,documentary [24] documentary,premiere [24] premiere,connecting [23] discover,next Top Word Pairs in Tweet in G3:
[177] nvidia,dlss [95] #rtxon,nvidia [86] faster,4k [74] ray,traced [62] traced,reflections [61] red,dead [59] dead,redemption [52] #rtxon,shot [52] escape,naraka [51] naraka,#rtxon Top Word Pairs in Tweet in G4:
[35] jetson,nano [18] nvidia,jetson [14] nvidiaembedded,jetson [13] jetmax,robotic [13] robotic,arm [13] arm,kit [13] kit,powered [13] powered,nvidiaembedded [13] nano,offers [13] offers,entry Top Word Pairs in Tweet in G5:
[66] geforce,rtx [60] nvidia,geforce [56] core,i7 [54] hp,pavilion [54] pavilion,gaming [54] gaming,15 [53] 28,水 [53] 水,新発売 [53] 新発売,hp [53] 15,パフォーマンスモデル Top Word Pairs in Tweet in G6:
[15] #giveaway,#win [15] #win,custom [15] custom,built [15] built,gaming [15] gaming,pc [15] pc,worth [15] worth,over [15] over,5k [15] 5k,brand [15] brand,nvidia Top Word Pairs in Tweet in G7:
[19] rtx,3050 [19] 3050,ti [18] ti,laptop [18] laptop,nvidia's [18] nvidia's,mainstream [18] mainstream,mobile [18] mobile,gpu [18] gpu,made [18] made,mistake [18] mistake,offering Top Word Pairs in Tweet in G8:
[11] bullsh1t_buster,videocardz [9] ragu,nvidia [9] nvidia,second [9] second,baths [9] biased,towards [9] towards,nvidia [8] videocardz,trying [8] trying,make [8] make,6600xt [8] 6600xt,look Top Word Pairs in Tweet in G9:
[60] core,i5 [57] foreign,used [55] 8gb,ram [53] gaming,15 [53] 15,8gb [46] 10th,gen [42] i5,10th [42] 16gb,ram [40] keyboard,light [38] gen,4gb Top Word Pairs in Tweet in G10:
[77] nvidia,geforce [40] notebook,15 [40] 15,ram [40] ram,8gb [40] 8gb,pc3l [40] pc3l,base [40] base,clock [40] clock,speed [40] speed,4ghz [40] 4ghz,logical Top Replied-To in Entire Graph:
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Top Replied-To in G10:
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: