The graph represents a network of 5,444 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, 18 July 2020 at 02:02 UTC.
The requested start date was Saturday, 18 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 7-hour, 0-minute period from Thursday, 16 July 2020 at 11:59 UTC to Friday, 17 July 2020 at 19:00 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 : 5444
Unique Edges : 4206
Edges With Duplicates : 6252
Total Edges : 10458
Number of Edge Types : 5
Retweet : 2606
MentionsInRetweet : 3937
Mentions : 1564
Tweet : 1405
Replies to : 946
Self-Loops : 1437
Reciprocated Vertex Pair Ratio : 0.0163081193615545
Reciprocated Edge Ratio : 0.0320928644588597
Connected Components : 1500
Single-Vertex Connected Components : 806
Maximum Vertices in a Connected Component : 2250
Maximum Edges in a Connected Component : 6355
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.747723
Graph Density : 0.00019769373952726
Modularity : 0.567995
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 5,444 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, 18 July 2020 at 02:02 UTC.
The requested start date was Saturday, 18 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 7-hour, 0-minute period from Thursday, 16 July 2020 at 11:59 UTC to Friday, 17 July 2020 at 19:00 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:
[660] nvidia,geforce [584] death,stranding [580] rtx,2080 [485] stranding,pc [476] nvidia,ai [475] ai,res [474] pc,photomode [474] photomode,nvidia [472] berduu,death [433] 2080,ti Top Word Pairs in Tweet in G1:
[236] nvidia,geforce [80] geforce,rtx [74] intel,core [58] geforce,gtx [57] 水冷ゲーミングpcをいただきました,nvidia [57] geforce,jp [57] jp,sycom [55] rtx,2080 [52] sycom,youtubeより [51] gaming,desktop Top Word Pairs in Tweet in G2:
[470] death,stranding [470] ai,res [469] stranding,pc [469] pc,photomode [469] photomode,nvidia [469] nvidia,ai [467] berduu,death [3] ray,tracing [2] nvidia,rtx [2] hodlshark,roborob93 Top Word Pairs in Tweet in G3:
[145] deep,learning [40] nvidia,deep [40] learning,institute [39] partner,year [30] july,17 [30] named,partner [30] researchers,nvidia [30] nvidia,developed [29] developed,#deeplearning [29] #deeplearning,model Top Word Pairs in Tweet in G4:
[119] 2080,ti [117] rtx,2080 [114] #aorus,#aorusgaming [114] #aorusgaming,#gigabyte [114] #gigabyte,#nvidia [111] ohhh,aorus [111] aorus,nvidiageforce [111] nvidiageforce,rtx [111] ti,xtreme [111] xtreme,wb Top Word Pairs in Tweet in G5:
[226] geforce,rtx [223] rtx,2080 [223] 2080,ti [222] zusammen,nvidiageforcede [222] nvidiageforcede,verlosen [222] verlosen,traum [222] traum,paket [222] paket,jeden [222] jeden,gamer [222] gamer,nvidia Top Word Pairs in Tweet in G6:
[110] nvidia,rtx [107] rtx,2080 [105] 2080,super [104] enter,chance [104] chance,win [102] win,2k [102] 2k,nzxt [102] nzxt,robeytech [102] robeytech,pc [102] pc,specs Top Word Pairs in Tweet in G7:
[47] linear,compute [47] compute,shader [47] shader,thread [47] thread,indexing [47] indexing,leads [47] leads,bad [47] bad,cache [47] cache,coherence [47] coherence,indices [47] indices,used Top Word Pairs in Tweet in G8:
[117] stay,calm [117] calm,patch [117] patch,'em [117] 'em,microsoft [117] microsoft,cisco [117] cisco,juniper [117] juniper,oracle [117] oracle,zoom [117] zoom,citrix [117] citrix,sap Top Word Pairs in Tweet in G9:
[94] core,i7 [62] 8th,gen [56] 32gb,ram [52] 1tb,hdd [52] ram,8th [44] 6gb,nvidia [34] 512gb,ssd [33] open,box [28] pls,retweet [28] retweet,see Top Word Pairs in Tweet in G10:
[73] setup,t3ddy [73] 2020,rtx [73] rtx,2080ti [73] 2080ti,nvidia [73] nvidia,gamer [71] novo,setup [71] t3ddy,games [71] games,2020 [70] t3ddyyyyy,novo [2] nuevo,setup 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: