The graph represents a network of 6,117 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, 11 September 2021 at 02:05 UTC.
The requested start date was Saturday, 11 September 2021 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, 12-hour, 38-minute period from Sunday, 05 September 2021 at 15:03 UTC to Wednesday, 08 September 2021 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 : 6117
Unique Edges : 4199
Edges With Duplicates : 8483
Total Edges : 12682
Number of Edge Types : 5
Retweet : 2563
MentionsInRetweet : 3164
Tweet : 3582
Replies to : 1234
Mentions : 2139
Self-Loops : 3667
Reciprocated Vertex Pair Ratio : 0.020175602465907
Reciprocated Edge Ratio : 0.0395531953854605
Connected Components : 2095
Single-Vertex Connected Components : 1208
Maximum Vertices in a Connected Component : 1733
Maximum Edges in a Connected Component : 6006
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.352449
Graph Density : 0.000145970877673892
Modularity : 0.456616
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 6,117 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, 11 September 2021 at 02:05 UTC.
The requested start date was Saturday, 11 September 2021 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, 12-hour, 38-minute period from Sunday, 05 September 2021 at 15:03 UTC to Wednesday, 08 September 2021 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:
[4327] ãƒ,ム[1502] nvidia,geforce [1388] geforce,rtx [776] ø,ø [683] rtx,3080 [546] ø,ù [474] ù,ø [413] rog,strix [405] asus,rog [379] 3080,ti Top Word Pairs in Tweet in G1:
[1878] ãƒ,ム[681] nvidia,geforce [553] geforce,rtx [244] rtx,3080 [210] ãƒ,ッã [206] rtx,3060 [169] 3080,ti [157] gaming,laptop [155] ボãƒ,ム[144] ッã,ボムTop Word Pairs in Tweet in G2:
[83] #bigdata,#analytics [83] #ai,#machinelearning [64] nvidia,shows [64] shows,build [64] models,scale [57] #machinelearning,#bigdata [48] #analytics,#datascience [48] #datascience,#ai [47] #machinelearning,#iot [47] #iot,#iiot Top Word Pairs in Tweet in G3:
[146] âœ,ray [146] ray,traced [50] traced,reflections [50] nvidia,nvidiageforce [48] bright,memory [48] memory,infinite [48] infinite,mesmerizing [48] mesmerizing,#rtxon [48] #rtxon,✠[48] reflections,✠Top Word Pairs in Tweet in G4:
[25] bitcoin,btc [25] btc,572 [25] 572,917 [25] 917,tesla [25] tesla,tsla [25] tsla,15 [25] 15,158 [22] nvidia,dlss [22] 158,nvidia [22] nvidia,nvda Top Word Pairs in Tweet in G5:
[161] ãƒ,ム[121] ãƒ,šã [117] ˆ,#ム[117] #ãƒ,ム[117] ãƒ,æ [116] dmmç,ˆ [116] ãƒ,ç [116] ç,æ [116] æ,nvidiaè [116] nvidiaè,šã Top Word Pairs in Tweet in G6:
[15] amd,nvidia [9] september,2020 [9] 2020,ƒ [9] ƒ,nvidia [9] nvidia,rtx [9] rtx,30 [9] 30,ƒ [9] ƒ,amd [9] amd,rx [9] rx,6000 Top Word Pairs in Tweet in G7:
[92] nvidia,gtx [65] dell,inspiron [65] inspiron,gaming [65] gaming,series [65] series,core [65] core,i7 [65] i7,6ghz [65] 6ghz,base [65] base,5ghz [65] 5ghz,max Top Word Pairs in Tweet in G8:
[94] lt,9ì [94] ê,ëž [94] ëž,í [94] í,ì [94] ì,ë [94] ë,œ [94] œ,ê [94] ê,ê [94] ê,gt [94] gt,nvidia Top Word Pairs in Tweet in G9:
[22] apex,legends [22] legends,stars [22] stars,tournament [19] legends,registrations [19] registrations,full [19] full,apex [19] tournament,we've [19] we've,added [19] added,another [19] another,12 Top Word Pairs in Tweet in G10:
[52] keyboard,light [46] nvidia,dedicated [46] razer,blade [44] 8gb,ram [42] brand,razer [42] blade,pro [42] pro,4k [42] 4k,gaming [42] gaming,laptop [42] laptop,17 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:
Top Mentioned in G2:
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Top Mentioned in G6:
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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: