The graph represents a network of 5,681 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, 09 May 2020 at 01:44 UTC.
The requested start date was Saturday, 09 May 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 2-day, 9-hour, 45-minute period from Wednesday, 06 May 2020 at 09:29 UTC to Friday, 08 May 2020 at 19:14 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 : 5681
Unique Edges : 4297
Edges With Duplicates : 5026
Total Edges : 9323
Number of Edge Types : 5
Retweet : 1849
MentionsInRetweet : 2651
Replies to : 1145
Tweet : 1930
Mentions : 1748
Self-Loops : 1955
Reciprocated Vertex Pair Ratio : 0.0240542763157895
Reciprocated Edge Ratio : 0.0469785183698053
Connected Components : 2011
Single-Vertex Connected Components : 1131
Maximum Vertices in a Connected Component : 1736
Maximum Edges in a Connected Component : 4534
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.609189
Graph Density : 0.000154363073352985
Modularity : 0.567362
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 5,681 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, 09 May 2020 at 01:44 UTC.
The requested start date was Saturday, 09 May 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 2-day, 9-hour, 45-minute period from Wednesday, 06 May 2020 at 09:29 UTC to Friday, 08 May 2020 at 19:14 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:
[447] ãƒ,ム[376] surface,book [354] nvidia,geforce [309] ø,ø [218] intel,core [201] core,i7 [197] gt,gt [193] rog,strix [176] nvidia,quadro [162] ˆà,ˆà Top Word Pairs in Tweet in G1:
[278] ãƒ,ム[171] nvidia,geforce [114] surface,book [110] intel,core [64] core,i7 [58] nvidia,shield [55] nvidia,gpu [55] ø,ø [53] geforce,gtx [52] nvidia,rtx Top Word Pairs in Tweet in G2:
[152] gt,gt [57] deep,learning [50] #deeplearning,#lidar [50] #lidar,perception [47] perception,#autonomousvehicles [43] instructor,led [41] #ai,#makeyourownlane [39] nvidia,mikequindazzi [38] learning,institute [37] nvidia,deep Top Word Pairs in Tweet in G3:
[24] call,duty [24] duty,warzone [22] uma,empresa [21] oficialmente,agora [21] agora,eu [21] eu,sou [21] sou,embaixador [21] embaixador,nvidiageforcebr [21] nvidiageforcebr,nunca [21] nunca,estive Top Word Pairs in Tweet in G4:
[188] rog,strix [157] #minecraftrtx,concours [157] concours,folie [157] folie,rog [91] #giveawayðÿ,ž [81] #giveaway,nvidiageforcefr [81] nvidiageforcefr,célèbre [81] célèbre,arrivée [81] arrivée,#minecraftrtx [80] asus_rog_fr,#giveaway Top Word Pairs in Tweet in G5:
[19] surface,book [14] quadro,rtx [14] rtx,3000 [14] nvidia,quadro [12] 6gb,graphics [12] graphics,memory [12] memory,240 [12] 240,tensor [9] microsoft,surface [8] 13,15 Top Word Pairs in Tweet in G6:
[109] surface,book [61] 10th,gen [35] gen,intel [32] nvidia,gpu [30] 32gb,ram [27] microsoft,launches [27] launches,surface [27] book,nvidia [27] gpu,options [27] options,32gb Top Word Pairs in Tweet in G7:
[162] ˆà,ˆà [87] surface,book [83] ƒà,ˆà [82] quadro,rtx3000 [82] rtx3000,ƒà [82] ˆà,15â [81] š,microsoft [81] microsoft,surface [81] book,ˆà [81] ˆà,gpu Top Word Pairs in Tweet in G8:
[30] nvidia,ansel [23] šðÿ,š [21] #nvidia,#gaming [16] re,upload [16] #photomode,game [16] game,edits [16] edits,nvidia [15] #modernwarfare,#modernwarfareseason3 [15] #modernwarfareseason3,#nvidia [15] #gaming,#twentyvisions Top Word Pairs in Tweet in G9:
[53] nvidia,super [53] super,ﾃﾞﾃﾞｰﾝ [53] ﾃﾞﾃﾞｰﾝ,クロックとかをわずかに上げたものを新たに発売 [53] クロックとかをわずかに上げたものを新たに発売,amd [53] amd,biosアプデするね [53] biosアプデするね,お手元の5600xtの性能がsuperに [52] refeia,nvidia [10] やっぱりゲームショウのブースでやってた試遊こそクラウドゲーミングでやればいいんじゃないのって思うけど,開発中のアプリバイナリをユーザーに渡す必要がない [10] 開発中のアプリバイナリをユーザーに渡す必要がない,ms [10] ms,nvidia Top Word Pairs in Tweet in G10:
[14] nvidia,hopes [14] hopes,industrialize [14] industrialize,ai [11] techrepublic,nvidia [8] icymi,amidst [8] amidst,#insidexbox [8] #insidexbox,hype [8] hype,project [8] project,xcloud [8] xcloud,won Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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