The graph represents a network of 5,180 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, 10 September 2022 at 02:38 UTC.
The requested start date was Saturday, 10 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, 06 September 2022 at 21:51 UTC to Friday, 09 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 : 5180
Unique Edges : 2828
Edges With Duplicates : 9140
Total Edges : 11968
Number of Edge Types : 5
Tweet : 4237
Retweet : 2758
MentionsInRetweet : 3292
Replies to : 629
Mentions : 1052
Self-Loops : 4299
Reciprocated Vertex Pair Ratio : 0.01
Reciprocated Edge Ratio : 0.0198019801980198
Connected Components : 1538
Single-Vertex Connected Components : 951
Maximum Vertices in a Connected Component : 1945
Maximum Edges in a Connected Component : 5716
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 6.680252
Graph Density : 0.000165652646826619
Modularity : 0.40859
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 5,180 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, 10 September 2022 at 02:38 UTC.
The requested start date was Saturday, 10 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, 06 September 2022 at 21:51 UTC to Friday, 09 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:
[2463] geforce,rtx [1806] nvidia,geforce [863] rtx,3060 [808] sold,amazon [693] utc,sold [596] oc,edition [552] amazon,fr [495] rtx,3070 [489] #ad,#gpu [476] #gpu,#gaming Top Word Pairs in Tweet in G1:
[1133] geforce,rtx [1091] nvidia,geforce [456] rtx,3060 [447] oc,edition [446] pm,edt [443] edt,#ad [341] v2,oc [335] earn,qualifying [335] qualifying,purchases [333] amazon,associate Top Word Pairs in Tweet in G2:
[326] pc_watch,nvidia [325] nvidia,次世代geforceを9月21日に発表か [13] 西川善司のグラフィックスmaniac,nvidia [13] nvidia,reflex [13] reflex,analyzerをアケコンに対応させてみる [12] analyzerをアケコンに対応させてみる,#ps5 [12] #ps5,#nvidiareflex [11] pc_watch,西川善司のグラフィックスmaniac [3] nvidia,ジェンスン [3] ジェンスン,フアンのサイン入りrtx Top Word Pairs in Tweet in G3:
[26] geforce,rtx [22] tweaktown,nvidia [16] nvidia,geforce [14] rtx,3090 [13] nvidia,giving [13] giving,away [10] 40,series [9] nvidia,rtx [9] amd,nvidia [9] jensen,huang Top Word Pairs in Tweet in G4:
[249] kurze,zeit [249] zeit,exklusive [249] exklusive,rabatte [249] rabatte,comp_universe [249] comp_universe,ausgewählte [249] ausgewählte,nvidia [249] nvidia,grafikkarten [249] grafikkarten,sichern [248] nvidiageforcede,kurze Top Word Pairs in Tweet in G5:
[196] core,i7 [177] windows,11 [177] nvidia,geforce [177] geforce,rtx [175] asustek,rog [175] rog,zephyrus [175] ram,1tb [175] 1tb,ssd [175] inches,6gb [175] 6gb,nvidia Top Word Pairs in Tweet in G6:
[46] geforce,rtx [44] spider,man [42] man,remastered [25] marvel's,spider [24] remastered,#rtxon [24] nvidia,dlaa [22] dlaa,nvidia [21] rtx,30 [20] defeat,iconic [20] iconic,villains Top Word Pairs in Tweet in G7:
[265] elev,angle [265] automated,photo [265] photo,crop [265] crop,#roboflow [265] #roboflow,#ai [210] #ai,confidence [210] confidence,score [210] #objectdetection,#machinelearning [210] #machinelearning,#nvidia [210] #nvidia,#jetson Top Word Pairs in Tweet in G8:
[148] geforce,rtx [142] 電ファミ,numanの夏休み超特大プレゼント祭り [142] numanの夏休み超特大プレゼント祭り,nvidiaさまより [142] nvidiaさまより,geforce [142] rtx,3080 [142] 3080,グラフィックスカードを1名様に [142] グラフィックスカードを1名様に,steamギフトカード [142] steamギフトカード,000円分を20名様にプレゼント [141] denfaminicogame,電ファミ [141] 000円分を20名様にプレゼント,denfaminico Top Word Pairs in Tweet in G9:
[142] delito,flagrante [142] flagrante,pelosi [142] pelosi,vendió [142] vendió,todas [142] todas,acciones [142] acciones,nvidia [142] nvidia,justo [142] justo,antes [142] antes,cayeran [142] cayeran,30 Top Word Pairs in Tweet in G10:
[102] tensor,cores [101] v100,nvidia [101] nvidia,cramming [101] cramming,more [101] more,more [101] more,tensor [101] cores,each [101] each,gpu [101] gpu,generation [101] generation,tensor Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G7:
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: