The graph represents a network of 7,545 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, 24 October 2020 at 01:44 UTC.
The requested start date was Saturday, 24 October 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, 5-hour, 23-minute period from Wednesday, 21 October 2020 at 05:54 UTC to Friday, 23 October 2020 at 11:18 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 : 7545
Unique Edges : 5193
Edges With Duplicates : 9041
Total Edges : 14234
Number of Edge Types : 5
Replies to : 1143
Mentions : 1850
Retweet : 3657
MentionsInRetweet : 4900
Tweet : 2684
Self-Loops : 2729
Reciprocated Vertex Pair Ratio : 0.0132338448542869
Reciprocated Edge Ratio : 0.0261219952758094
Connected Components : 2181
Single-Vertex Connected Components : 1379
Maximum Vertices in a Connected Component : 3390
Maximum Edges in a Connected Component : 8762
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.31326
Graph Density : 0.000126441773536933
Modularity : 0.534416
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 7,545 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, 24 October 2020 at 01:44 UTC.
The requested start date was Saturday, 24 October 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, 5-hour, 23-minute period from Wednesday, 21 October 2020 at 05:54 UTC to Friday, 23 October 2020 at 11:18 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:
[1785] geforce,rtx [1242] rtx,3080 [970] nvidia,geforce [728] rog,strix [718] rtx,2060 [697] 2060,super [689] nvidia,rog [689] gagner,rog [689] strix,geforce [689] super,gaming Top Word Pairs in Tweet in G1:
[338] nvidia,geforce [255] geforce,rtx [239] rtx,3080 [131] intel,core [114] rtx,3070 [106] gaming,desktop [86] geforce,gtx [68] windows,10 [63] enter,chance [63] chance,win Top Word Pairs in Tweet in G2:
[701] geforce,rtx [687] nvidia,rog [687] gagner,rog [687] rog,strix [687] strix,geforce [687] rtx,2060 [687] 2060,super [687] super,gaming [686] concours,nvidia [686] rog,fait Top Word Pairs in Tweet in G3:
[49] computer,vision [45] rtx,3080 [44] rtx,3090 [41] #mlperf,inference [39] #iot,#iiot [38] #bigdata,#analytics [38] vision,conversational [38] conversational,ai [37] geforce,rtx [37] nvidiaai,nvidia Top Word Pairs in Tweet in G4:
[525] rtx,3080 [440] 3080,giveaway [380] worldwide,rtx [380] giveaway,partnered [380] partnered,friends [380] friends,nvidiageforce [380] nvidiageforce,officialpcmr [380] officialpcmr,giveaway [378] originpc,worldwide [142] geforce,rtx Top Word Pairs in Tweet in G5:
[168] geforce,rtx [135] rtx,3070 [102] rtx,3080 [85] 3080,20gb [77] nvidia,geforce [73] videocardz,nvidia [59] nvidia,allegedly [52] 20gb,rtx [52] 3070,16gb [51] allegedly,cancels Top Word Pairs in Tweet in G6:
[10] nvidia,sync [9] kernel,cpu [9] cpu,undervolting [9] undervolting,nvidia [9] nvidia,problems [9] problems,embedded [9] embedded,linux [9] linux,conference [9] conference,europe [9] tux,machines Top Word Pairs in Tweet in G7:
[264] nvidia,geforce [264] geforce,rtx [253] giving,nvidia [253] random,person [253] person,retweets [189] retweets,tweet [189] tweet,tags [186] sweepsgg,giving [132] rtx,3090 [131] rtx,3080 Top Word Pairs in Tweet in G8:
[146] technology,companies [146] companies,founded [146] founded,1st [146] 1st,2nd [146] 2nd,generation [146] generation,immigrants [146] immigrants,apple [146] oracle,ibm [146] ibm,uber [144] valaafshar,technology Top Word Pairs in Tweet in G9:
[37] adobe,photoshop [21] 講演資料,pfnリサーチャーの今村 [21] pfnリサーチャーの今村,mamurai1208 [21] mamurai1208,が10 [21] が10,23に講師を務めた名古屋大主催 [21] 23に講師を務めた名古屋大主催,nvidia [21] nvidia,pfn共催の [21] pfn共催の,optuna講習会 [21] optuna講習会,の講習資料が公開されました [20] preferrednetjp,講演資料 Top Word Pairs in Tweet in G10:
[28] photoshopの新機能,ニューラルフィルター [28] ニューラルフィルター,を支えるnvidiaのai技術 [22] huawei,chinese [22] chinese,tech [22] tech,firms [22] firms,raise [22] raise,concerns [22] concerns,nvidia's [22] nvidia's,arm [22] arm,deal Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: