The graph represents a network of 6,818 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, 29 January 2022 at 03:00 UTC.
The requested start date was Saturday, 29 January 2022 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 6-day, 6-hour, 59-minute period from Friday, 21 January 2022 at 20:42 UTC to Friday, 28 January 2022 at 03:42 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 : 6818
Unique Edges : 4788
Edges With Duplicates : 8469
Total Edges : 13257
Number of Edge Types : 5
Replies to : 1238
Tweet : 3435
Retweet : 2897
MentionsInRetweet : 3737
Mentions : 1950
Self-Loops : 3492
Reciprocated Vertex Pair Ratio : 0.0162431650048247
Reciprocated Edge Ratio : 0.031967083399272
Connected Components : 2069
Single-Vertex Connected Components : 1173
Maximum Vertices in a Connected Component : 2458
Maximum Edges in a Connected Component : 6334
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 5.985301
Graph Density : 0.000135955901663025
Modularity : 0.501633
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 6,818 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, 29 January 2022 at 03:00 UTC.
The requested start date was Saturday, 29 January 2022 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 6-day, 6-hour, 59-minute period from Friday, 21 January 2022 at 20:42 UTC to Friday, 28 January 2022 at 03:42 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:
[1295] geforce,rtx [1162] nvidia,geforce [610] rtx,3050 [303] nvidia,rtx [300] ray,tracing [299] graphics,card [266] rtx,2060 [259] 2022,01 [253] rtx,3070 [250] 01,27 Top Word Pairs in Tweet in G1:
[665] geforce,rtx [496] nvidia,geforce [258] 2022,01 [255] graphics,card [253] ray,tracing [250] 01,27 [231] rtx,2060 [231] gb,gddr6 [223] palit,geforce [220] dual,fan Top Word Pairs in Tweet in G2:
[119] excited,joining [119] joining,nvidia [119] nvidia,head [119] head,developer [119] developer,relations [119] relations,africa [119] africa,years [119] years,nvidia [119] nvidia,focused [119] focused,emerging Top Word Pairs in Tweet in G3:
[77] nvidia,dlss [57] geforce,rtx [52] amd,nvidia [48] god,war [46] rtx,3050 [36] nvidia,geforce [34] imo,amd [34] nvidia,capitalize [34] capitalize,long [34] long,hurt Top Word Pairs in Tweet in G4:
[44] using,nvidia [25] nvidia,jetson [24] #nvidiainception,member [24] member,jensorter [24] jensorter,develops [24] develops,ai [24] ai,based [24] based,fish [24] fish,egg [24] egg,sorter Top Word Pairs in Tweet in G5:
[43] #ad,#pcgaming [43] #pcgaming,#cryptomining [39] utc,sold [39] sold,amazon [36] amazon,fr [35] geforce,rtx [29] flux,runonflux [25] amazon,#ad [21] ico,ieo [21] ieo,private Top Word Pairs in Tweet in G6:
[180] hype,gewinnspiel [180] gewinnspiel,nvidia [180] nvidia,gigabyte [180] gigabyte,corsair [180] corsair,zurück [180] zurück,allein [180] allein,community [180] community,entscheidet [180] entscheidet,preis [179] mifcomgmbh,hype Top Word Pairs in Tweet in G7:
[168] nvidia,geforce [140] #gaming,#mining [140] #mining,#alertgpu [140] #alertgpu,#gpualert [140] #gpualert,#drop [140] #drop,#dropgpu [140] #dropgpu,#gpudrop [138] #gpudrop,#nvidia [134] geforce,rtx [74] apple,aapl Top Word Pairs in Tweet in G8:
[93] nvidia,geforce [81] geforce,rtx [59] rtx,3050 [33] レイトレ環境をより身近にするエントリーグラフィックス,nvidia [33] 3050,検証 [30] エルミタ的速攻撮って出しレビュー,vol [30] vol,1098 [30] 1098,レイトレ環境をより身近にするエントリーグラフィックス [20] geforce,rtxシリーズから新チップセット [20] rtxシリーズから新チップセット,エントリー向けモデル Top Word Pairs in Tweet in G9:
[37] rtx,3050 [26] nvidia,rtx [21] 3050,review [17] review,round [16] iridiumwings,nvidia [13] nvidia,geforce [9] ray,tracing [9] geforce,rtx [8] #nvidia's,3050 [8] 3050,gaming's Top Word Pairs in Tweet in G10:
[86] nvidia,rtx [84] 1tb,ssd [78] 8gb,nvidia [77] core,i9 [77] i9,8gb [77] rtx,2080 [77] 2080,32gb [77] 32gb,ram [77] ram,1tb [77] ssd,144hz Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: