The graph represents a network of 7,188 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, 23 January 2021 at 02:38 UTC.
The requested start date was Saturday, 23 January 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, 8-hour, 51-minute period from Tuesday, 19 January 2021 at 21:23 UTC to Friday, 22 January 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 : 7188
Unique Edges : 4212
Edges With Duplicates : 10214
Total Edges : 14426
Number of Edge Types : 5
Mentions : 1971
Tweet : 2195
Replies to : 1194
Retweet : 4124
MentionsInRetweet : 4942
Self-Loops : 2244
Reciprocated Vertex Pair Ratio : 0.0123264380844432
Reciprocated Edge Ratio : 0.0243526941917425
Connected Components : 1892
Single-Vertex Connected Components : 1076
Maximum Vertices in a Connected Component : 3378
Maximum Edges in a Connected Component : 9201
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 5.165739
Graph Density : 0.000138307751141905
Modularity : 0.49022
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 7,188 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, 23 January 2021 at 02:38 UTC.
The requested start date was Saturday, 23 January 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, 8-hour, 51-minute period from Tuesday, 19 January 2021 at 21:23 UTC to Friday, 22 January 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:
[1572] nvidia,geforce [1396] geforce,rtx [1251] rtx,3080 [1207] gaming,pc [1177] one,lucky [1158] 3080,gaming [1156] 000,nvidia [1151] 10,000 [1149] pc,one [1147] 000,parties Top Word Pairs in Tweet in G1:
[1174] one,lucky [1154] gaming,pc [1152] 000,nvidia [1152] rtx,3080 [1152] 3080,gaming [1147] 10,000 [1147] 000,parties [1147] parties,created [1147] created,v1 [1147] v1,relaunch Top Word Pairs in Tweet in G2:
[301] nvidia,geforce [187] geforce,rtx [84] geforce,gtx [75] nvidia,shield [68] intel,core [64] shield,tv [61] core,i7 [59] rog,strix [54] gaming,laptop [53] windows,10 Top Word Pairs in Tweet in G3:
[100] machine,learning [85] data,science [78] deep,learning [75] best,laptops [75] laptops,machine [75] learning,data [75] science,deep [71] nvidia,nvidiagfn [70] learning,#nvidia [56] #nvidia,#geforce Top Word Pairs in Tweet in G4:
[84] nvidiageforce,nvidia [53] teamevga,nvidiageforce [49] ed_techsource,teamevga [37] learn,more [36] ray,tracing [35] geforce,rtx [35] watch,minecraft [35] minecraft,4k [35] 4k,stunning [35] stunning,path Top Word Pairs in Tweet in G5:
[15] techinterceptor,news [15] shield,tv [14] nvidia,rtx [14] iotcybersec24,#nvidia [13] nvidia,gamers [13] gamers,face [13] face,data [13] data,loss [13] loss,shield [13] tv,bugs Top Word Pairs in Tweet in G6:
[108] rtx,nvidiaが期待のfps [108] nvidiaが期待のfps,atomic [108] atomic,heart [108] heart,のレイトレーシング技術を紹介する動画公開 [108] のレイトレーシング技術を紹介する動画公開,未来のソ連を舞台にしたfpsがレイトレーシング技術でさらに美しく [107] denfaminicogame,rtx [107] 未来のソ連を舞台にしたfpsがレイトレーシング技術でさらに美しく,魔法を使 Top Word Pairs in Tweet in G7:
[24] intel,nvidia [24] gaming,pc [23] raise,hand [23] hand,gaming [23] pc,currently [23] currently,heating [23] heating,home [18] verge,raise [14] nvidia,shield [14] ps5,xbox Top Word Pairs in Tweet in G8:
[24] #virtualphotography,#vgpunite [23] #vgpunite,#nvidia [19] #cyberpunk2077,#cdprojektred [17] frans,bouma [17] nvidia,dsr [15] hattiwatti,tools [15] tools,timestop [15] timestop,ct [15] ct,frans [15] bouma,nvidia Top Word Pairs in Tweet in G9:
[6] tensor,cores [6] server,class [6] class,cpu [5] series,server [5] cpu,means [5] means,work [5] work,nvidia [5] nvidia,ai [5] ai,azure [5] azure,exist Top Word Pairs in Tweet in G10:
[11] ray,tracing [10] discover,ray [10] tracing,features [10] features,unity [10] unity,2020 [10] 2020,webinar [10] webinar,pydon [10] pydon,auzaiffe [10] auzaiffe,january [10] january,27 Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: