The graph represents a network of 4,743 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, 11 June 2022 at 02:29 UTC.
The requested start date was Saturday, 11 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, 45-minute period from Tuesday, 07 June 2022 at 20:55 UTC to Friday, 10 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 : 4743
Unique Edges : 3266
Edges With Duplicates : 8621
Total Edges : 11887
Number of Edge Types : 5
Retweet : 2317
MentionsInRetweet : 2948
Mentions : 1354
Replies to : 911
Tweet : 4357
Self-Loops : 4446
Reciprocated Vertex Pair Ratio : 0.0200181983621474
Reciprocated Edge Ratio : 0.0392506690454951
Connected Components : 1377
Single-Vertex Connected Components : 770
Maximum Vertices in a Connected Component : 1793
Maximum Edges in a Connected Component : 5426
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 5.484997
Graph Density : 0.000199365923881877
Modularity : 0.391853
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 4,743 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, 11 June 2022 at 02:29 UTC.
The requested start date was Saturday, 11 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, 45-minute period from Tuesday, 07 June 2022 at 20:55 UTC to Friday, 10 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:
[2637] geforce,rtx [2278] nvidia,geforce [890] rtx,3060 [706] rtx,3080 [659] oc,edition [573] rog,strix [553] asus,rog [546] link,atc [543] v2,oc [542] rtx,3070 Top Word Pairs in Tweet in G1:
[1830] geforce,rtx [1630] nvidia,geforce [641] rtx,3060 [583] rtx,3080 [546] link,atc [496] rog,strix [495] earn,qualifying [495] qualifying,purchases [494] amazon,associate [494] associate,earn Top Word Pairs in Tweet in G2:
[26] training,developing [26] developing,intelligent [26] intelligent,#robots [26] #robots,simulation [26] simulation,successfully [26] successfully,deployed [26] deployed,world [26] world,nvidia [24] nvidia,#ai [22] frronconi,training Top Word Pairs in Tweet in G3:
[306] nvidia,shield [303] win,nvidia [302] one,person [302] person,tweet [302] tweet,win [302] shield,pro [302] pro,4k [302] 4k,comment [302] comment,following [302] following,ends Top Word Pairs in Tweet in G4:
[149] summer,rtx [149] rtx,back [149] back,celebrating [149] celebrating,giving [149] giving,unlimited [149] unlimited,chances [149] chances,win [149] win,giant [149] giant,prize [149] prize,pool Top Word Pairs in Tweet in G5:
[37] learn,more [26] isaac,sim [24] #nvidiatao,toolkit [20] jetson,nano [18] nvidiaembedded,jetson [18] nano,running [18] running,posenet [18] posenet,track [18] track,human [18] human,poses Top Word Pairs in Tweet in G6:
[68] nvidia,dlss [45] geforce,rtx [36] takes,two [33] legendary,edition [31] masseffect,legendary [31] nvidia,reflex [30] edition,takes [28] game,ready [28] nvidia,max [26] ready,drivers Top Word Pairs in Tweet in G7:
[131] worldwide,giveaway [131] giveaway,we've [131] we've,teamed [131] teamed,friend [131] friend,zedd [131] zedd,bring [131] bring,one [131] one,lucky [131] lucky,winner [131] winner,maingear Top Word Pairs in Tweet in G8:
[62] síguenos,comenta [62] comenta,#pccomponentesloquiero [62] #pccomponentesloquiero,diciendo [62] diciendo,quieres [62] quieres,pepinazo [61] pccomponentes,síguenos [2] nvidiageforce,summer [2] summer,rtx [2] rtx,back [2] back,celebrating Top Word Pairs in Tweet in G9:
[404] geforce,rtx [366] utc,sold [352] sold,amazon [351] #gpu,#gaming [350] #ad,#gpu [239] amazon,fr [227] rtx,3070 [222] nvidia,geforce [221] amazon,#ad [143] amazon,asus Top Word Pairs in Tweet in G10:
[54] 000,features [54] features,processor [52] storage,512gb [52] 512gb,ssd [51] processor,corei7 [51] corei7,11th [50] bèttá,brand [50] brand,hp [50] hp,omen [50] omen,box Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G4:
Top Replied-To in G5:
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Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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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:
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Top Tweeters in G5:
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Top Tweeters in G10: