The graph represents a network of 6,027 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, 14 May 2022 at 02:33 UTC.
The requested start date was Saturday, 14 May 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, 43-minute period from Tuesday, 10 May 2022 at 20:57 UTC to Friday, 13 May 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 : 6027
Unique Edges : 3306
Edges With Duplicates : 9428
Total Edges : 12734
Number of Edge Types : 5
Retweet : 3476
MentionsInRetweet : 3980
Tweet : 3450
Replies to : 763
Mentions : 1065
Self-Loops : 3535
Reciprocated Vertex Pair Ratio : 0.010962010962011
Reciprocated Edge Ratio : 0.0216862965040194
Connected Components : 1721
Single-Vertex Connected Components : 1069
Maximum Vertices in a Connected Component : 2700
Maximum Edges in a Connected Component : 6795
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.426735
Graph Density : 0.000147279492532525
Modularity : 0.446723
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 6,027 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, 14 May 2022 at 02:33 UTC.
The requested start date was Saturday, 14 May 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, 43-minute period from Tuesday, 10 May 2022 at 20:57 UTC to Friday, 13 May 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:
[1364] geforce,rtx [1229] open,source [1171] nvidia,geforce [686] gpu,kernel [575] kernel,modules [401] rtx,3060 [380] linux,gpu [357] kernel,driver [316] rtx,3070 [299] rtx,3080 Top Word Pairs in Tweet in G1:
[620] geforce,rtx [431] nvidia,geforce [192] rtx,3080 [178] rtx,3060 [157] open,source [144] amazon,#ad [125] stock,retail [125] retail,amazon [125] #ad,#nvidia [124] rtx,3070 Top Word Pairs in Tweet in G2:
[115] open,source [96] gpu,kernel [91] kernel,drivers [88] kernel,driver [86] open,sourcing [84] nvidia,finally [80] sourcing,kernel [79] congratulations,nvidia [79] finally,open [79] drivers,long Top Word Pairs in Tweet in G3:
[156] kernel,driver [145] open,source [87] driver,open [86] marcan42,nvidia [86] nvidia,released [86] released,kernel [86] source,mean [86] mean,moved [86] moved,firmware [86] firmware,made Top Word Pairs in Tweet in G4:
[31] ai,team [30] bet,nvidia [30] nvidia,low [30] low,key [30] key,best [30] best,ai [30] team,planet [30] planet,right [28] suhail,bet [19] using,nvidia Top Word Pairs in Tweet in G5:
[146] gpu,kernel [137] kernel,modules [124] open,source [110] linux,gpu [102] dual,gpl [102] gpl,license [95] license,starting [95] starting,r515 [94] publishing,linux [94] modules,open Top Word Pairs in Tweet in G6:
[121] open,source [115] gpu,kernel [111] kernel,modules [62] omgubuntu,nvidia [62] announces,open [61] source,gpu [60] nvidia,unexpectedly [60] unexpectedly,announces [52] linux,gpu [50] source,linux Top Word Pairs in Tweet in G7:
[92] 50,stocks [92] stocks,lost [92] lost,combined [92] combined,trillion [92] trillion,value [92] value,year [92] year,amazon [92] amazon,619 [92] 619,billion [92] billion,microsoft Top Word Pairs in Tweet in G8:
[75] nvidiaが同社のgpuをlinuxで使う為のカーネルドライバのコードをオープンソース化した話,nvidiaは2019年末にlinux用のドライバのoss化に向けた動きがある事を発表していた [74] fadis_,nvidiaが同社のgpuをlinuxで使う為のカーネルドライバのコードをオープンソース化した話 [74] nvidiaは2019年末にlinux用のドライバのoss化に向けた動きがある事を発表していた,今回oss化されたのはカーネルモジュールの部分でユーザ空間ラ [25] open,source [22] nvidiaがオープンにしたものは実質何もなく,単に34mbものファームウェアにコードの実態を移しただけだという [22] ついに,ついに [21] ezoeryou,nvidiaがオープンにしたものは実質何もなく [21] kernel,modules [19] gpu,kernel [18] nvidia,releases Top Word Pairs in Tweet in G9:
[141] open,source [137] source,nvidia [137] nvidia,kernel [133] jeremy_soller,take [133] take,moment [133] moment,appreciate [133] appreciate,fact [133] fact,first [133] first,community [133] community,contributor Top Word Pairs in Tweet in G10:
[79] 米nvidiaなど,眼鏡サイズのvrヘッドセット開発 [79] 眼鏡サイズのvrヘッドセット開発,フルカラー3d画像を表示 [75] フルカラー3d画像を表示,重量60g [75] 重量60g,対角視野22 [75] 対角視野22,8度 [75] 8度,厚さ2 [75] 厚さ2,5mmで2d [75] 5mmで2d,3dカラー画像を出力できるニアアイディスプレイ [75] 3dカラー画像を出力できるニアアイディスプレイ,gpレンズ [75] gpレンズ,slm 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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