The graph represents a network of 7,299 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, 27 February 2021 at 02:43 UTC.
The requested start date was Saturday, 27 February 2021 at 01:01 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, 7-hour, 48-minute period from Tuesday, 23 February 2021 at 22:26 UTC to Friday, 26 February 2021 at 06:15 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 : 7299
Unique Edges : 4287
Edges With Duplicates : 9347
Total Edges : 13634
Number of Edge Types : 5
Replies to : 984
Mentions : 1728
Retweet : 3711
MentionsInRetweet : 4359
Tweet : 2852
Self-Loops : 2891
Reciprocated Vertex Pair Ratio : 0.0102373196835738
Reciprocated Edge Ratio : 0.0202671579917089
Connected Components : 2132
Single-Vertex Connected Components : 1342
Maximum Vertices in a Connected Component : 3298
Maximum Edges in a Connected Component : 7994
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 7.291991
Graph Density : 0.000122268294823044
Modularity : 0.510392
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 7,299 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, 27 February 2021 at 02:43 UTC.
The requested start date was Saturday, 27 February 2021 at 01:01 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, 7-hour, 48-minute period from Tuesday, 23 February 2021 at 22:26 UTC to Friday, 26 February 2021 at 06:15 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:
[830] geforce,rtx [824] nvidia,geforce [788] nvidia,rtx [733] rtx,3070 [660] gaming,pc [652] pc,one [651] one,lucky [651] lucky,winner [651] winner,retweets [651] retweets,tags Top Word Pairs in Tweet in G1:
[378] nvidia,geforce [307] geforce,rtx [170] rog,strix [149] 搭載,トリプルファンモデル [149] lt,amazon [149] amazon,gt [136] rtx,3060 [133] asus,nvidia [117] rtx,3070 [99] 3070,搭載 Top Word Pairs in Tweet in G2:
[650] nvidia,rtx [650] gaming,pc [650] pc,one [650] one,lucky [650] lucky,winner [650] winner,retweets [650] retweets,tags [506] giving,750 [506] 750,nvidia [506] rtx,3070 Top Word Pairs in Tweet in G3:
[33] geforce,rtx [31] nvidia,geforce [23] nvidia,amd [19] rtx,3060 [18] rtx,3090 [18] data,center [13] asus,tuf [13] tuf,gaming [13] gaming,nvidia [13] 3090,oc Top Word Pairs in Tweet in G4:
[47] deep,learning [44] clara,parabricks [37] neural,network [36] network,training [36] training,progress [36] progress,image [36] unknown,algorithm [36] algorithm,slowly [36] slowly,learns [36] learns,imagine Top Word Pairs in Tweet in G5:
[246] super,mario [246] mario,galaxy [245] mario,fact [245] fact,day [245] day,opening [245] opening,cutscene [245] cutscene,super [245] galaxy,kamek [245] kamek,long [245] long,enjoy Top Word Pairs in Tweet in G6:
[56] nvidiageforce,nvidia [37] geforce,rtx [36] nvidia,dlss [35] nvidia,reflex [33] rtx,3060 [31] test,server [30] technical,test [28] reflex,support [28] support,added [28] added,technical Top Word Pairs in Tweet in G7:
[171] rtx,3060の性能はrtx [171] 3060の性能はrtx,2060 [171] 2060,superより [171] superより,少し良い程度 [171] 少し良い程度,しかし国内価格は5万円後半とのこと [171] しかし国内価格は5万円後半とのこと,せめてrtx [171] せめてrtx,2060と同じ価格なら許せるけど [171] 2060と同じ価格なら許せるけど,値上げしてこの程度じゃ [171] 値上げしてこの程度じゃ,退化 [171] 退化,tom's Top Word Pairs in Tweet in G8:
[120] 増,q3 [50] nvidia,nvda [50] nvda,決算 [40] 決算,予想を上回る [40] 予想を上回る,ゲームとデータセンターが牽引 [40] ゲームとデータセンターが牽引,前年比61 [40] 前年比61,増 [40] q3,57 [40] 57,通年売上53 [40] 通年売上53,増 Top Word Pairs in Tweet in G9:
[88] geforce,rtx [73] nvidia,geforce [56] 日本,グローバル [56] グローバル,の発売日情報 [55] zotac_japan,日本 [41] hermita_akiba,nvidia [41] rtx,30シリーズの [41] 30シリーズの,resizable [41] resizable,bar [41] bar,対応を正式発表 Top Word Pairs in Tweet in G10:
[41] rtx,3060 [36] sales,surge [34] reuters,nvidia [30] verge,nvidia [29] nvidia,made [29] made,billion [29] billion,during [29] during,gpu [29] gpu,shortage [29] shortage,expects Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
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:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: