The graph represents a network of 7,630 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, 26 September 2020 at 01:40 UTC.
The requested start date was Saturday, 26 September 2020 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, 4-hour, 39-minute period from Wednesday, 23 September 2020 at 06:36 UTC to Friday, 25 September 2020 at 11:15 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 : 7630
Unique Edges : 5736
Edges With Duplicates : 9098
Total Edges : 14834
Number of Edge Types : 5
Tweet : 2495
Mentions : 2744
Replies to : 1611
Retweet : 3445
MentionsInRetweet : 4539
Self-Loops : 2548
Reciprocated Vertex Pair Ratio : 0.0146788990825688
Reciprocated Edge Ratio : 0.0289330922242315
Connected Components : 2176
Single-Vertex Connected Components : 1323
Maximum Vertices in a Connected Component : 3390
Maximum Edges in a Connected Component : 9227
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.452405
Graph Density : 0.00013300287050499
Modularity : 0.523198
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 7,630 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, 26 September 2020 at 01:40 UTC.
The requested start date was Saturday, 26 September 2020 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, 4-hour, 39-minute period from Wednesday, 23 September 2020 at 06:36 UTC to Friday, 25 September 2020 at 11:15 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:
[1010] geforce,rtx [963] nvidia,geforce [810] rtx,3090 [647] rtx,3080 [424] nvidia,rtx [237] nvidiaの配信アプリ,背景が人類滅亡レベルで超散らかってるのに普通のwebカメラでかなりガッツリ切り抜いててすげぇ [237] 背景が人類滅亡レベルで超散らかってるのに普通のwebカメラでかなりガッツリ切り抜いててすげぇ,しかもrtx [237] しかもrtx,voiceのノイズキャンセルまでついてくる [237] voiceのノイズキャンセルまでついてくる,撮ってるのはマシンの音がうるさい環境 [236] ntheweird,nvidiaの配信アプリ Top Word Pairs in Tweet in G1:
[292] geforce,rtx [284] nvidia,geforce [245] rtx,3090 [231] rtx,3080 [162] gaming,desktop [147] intel,core [130] nvidia,rtx [86] core,i9 [83] processor,nvidia [81] crysis,remastered Top Word Pairs in Tweet in G2:
[198] corsair,nvidiageforceuk [186] geforce,rtx [158] 30,series [156] rtx,30 [145] nvidia,geforce [140] launch,nvidia [138] celebrate,launch [138] series,we've [138] we've,teamed [138] teamed,corsair Top Word Pairs in Tweet in G3:
[47] rtx,3080 [46] rtx,3090 [34] geforce,rtx [32] nvidia,rtx [31] nvidia,geforce [27] graphics,card [24] saw,amazon [22] nvidia,amd [14] amd,nvidia [14] amazon,asus Top Word Pairs in Tweet in G4:
[52] e2e,networks [43] networks,national [43] national,trendsetter [43] trendsetter,amongst [43] amongst,cloud [43] cloud,service [43] service,providers [43] providers,first [43] first,local [43] local,nvidia Top Word Pairs in Tweet in G5:
[65] rtx,3090 [61] geforce,rtx [49] nvidia,geforce [42] rtx,3080 [21] launching,today [21] today,nvidia [21] 3080,piggy [21] piggy,bank [21] bank,edition [21] edition,free Top Word Pairs in Tweet in G6:
[236] nvidiaの配信アプリ,背景が人類滅亡レベルで超散らかってるのに普通のwebカメラでかなりガッツリ切り抜いててすげぇ [236] 背景が人類滅亡レベルで超散らかってるのに普通のwebカメラでかなりガッツリ切り抜いててすげぇ,しかもrtx [236] しかもrtx,voiceのノイズキャンセルまでついてくる [236] voiceのノイズキャンセルまでついてくる,撮ってるのはマシンの音がうるさい環境 [235] ntheweird,nvidiaの配信アプリ [235] 撮ってるのはマシンの音がうるさい環境,配信だけじゃなくてzoomにも [24] nvidia,broadcast [12] rtx,voice [12] voice,あらため [12] あらため,nvidia Top Word Pairs in Tweet in G7:
[206] nvidia,geforce [176] geforce,rtx [142] rtx,3090 [55] geforce,rtx3090 [44] tsukumo_netshop,nvidia [39] 3090,rtx3080抽選販売 [38] 話題の最新グラフィックカード,nvidia [38] 3090,抽選販売のご案内 [38] 抽選販売のご案内,ツクモネットショップでは [38] ツクモネットショップでは,ご応募いただいたお客様から抽選での販売を行います Top Word Pairs in Tweet in G8:
[88] luna,game [88] game,streaming [88] streaming,service [88] service,powered [88] powered,windows [67] amazon,confirmed [67] confirmed,luna [67] windows,software [67] software,nvidia [67] nvidia,hardware Top Word Pairs in Tweet in G9:
[75] core,i7 [56] i7,9th [56] 9th,generation [56] 4k,display [56] rtx,5000 [56] open,box [54] nvidia,rtx [45] 16gb,ram [44] dell,precision [44] precision,7740 Top Word Pairs in Tweet in G10:
[101] 10,year [101] year,stock [101] stock,returns [101] returns,tesla [101] tesla,10 [101] 10,120 [101] 120,nvidia [101] nvidia,360 [101] 360,netflix [101] netflix,230 Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G5:
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Top Replied-To in G7:
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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 G3:
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Top Tweeters in G10: