The graph represents a network of 5,346 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 July 2020 at 01:56 UTC.
The requested start date was Saturday, 11 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 8-hour, 40-minute period from Wednesday, 08 July 2020 at 10:19 UTC to Thursday, 09 July 2020 at 19:00 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 : 5346
Unique Edges : 5841
Edges With Duplicates : 6196
Total Edges : 12037
Number of Edge Types : 5
Tweet : 1604
Retweet : 2719
MentionsInRetweet : 5822
Replies to : 651
Mentions : 1241
Self-Loops : 1629
Reciprocated Vertex Pair Ratio : 0.00834359184790042
Reciprocated Edge Ratio : 0.0165491047205643
Connected Components : 1539
Single-Vertex Connected Components : 950
Maximum Vertices in a Connected Component : 2263
Maximum Edges in a Connected Component : 7890
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.14722
Graph Density : 0.000257993439575396
Modularity : 0.560507
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 5,346 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 July 2020 at 01:56 UTC.
The requested start date was Saturday, 11 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 8-hour, 40-minute period from Wednesday, 08 July 2020 at 10:19 UTC to Thursday, 09 July 2020 at 19:00 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:
[941] nvidia,rtx [842] rtx,2080 [776] 2080,super [732] chance,win [731] enter,chance [691] nzxt,robeytech [691] teamevga,nvidia [690] win,2k [690] 2k,nzxt [690] robeytech,pc Top Word Pairs in Tweet in G1:
[158] nvidia,geforce [125] geforce,rtx [110] rtx,2080 [86] nvidia,rtx [83] death,stranding [76] gaming,desktop [68] 2080,super [62] video,card [61] running,win [61] win,asetek Top Word Pairs in Tweet in G2:
[694] enter,chance [694] chance,win [692] rtx,2080 [691] nzxt,robeytech [691] nvidia,rtx [690] win,2k [690] 2k,nzxt [690] robeytech,pc [690] pc,specs [690] specs,teamevga Top Word Pairs in Tweet in G3:
[24] geforce,rtx [20] market,cap [20] nvidia,geforce [20] ekwaterblocks,ekfluidgaming [20] ekfluidgaming,asusrog [19] rtx,3070 [18] nvidia,nvda [18] google,cloud [13] nvidia,nvidiageforce [12] build,lamborghini Top Word Pairs in Tweet in G4:
[176] geforce,rtx [168] rtx,gpus [164] hideo,kojima [142] gpus,desktops [133] death,stranding [131] kojima,#deathstrandingpc [131] #deathstrandingpc,participating [131] participating,geforce [118] game,ready [115] embark,journey Top Word Pairs in Tweet in G5:
[123] death,stranding [117] nvidia,rtx [117] rtx,gpus [116] stranding,bundled [116] bundled,free [116] free,nvidia [116] gpus,starting [116] starting,today [115] pcgamer,death [26] nvidia,worth Top Word Pairs in Tweet in G6:
[114] ゲーミングpcプレゼント企画,応募方法 [114] 応募方法,フォロー [114] フォロー,リツイート [114] スペック,cpu [114] cpu,amd [114] amd,ryzen [114] gpu,nvidia [112] ge0vdl0vmqjrxcc,在庫処分 [110] 在庫処分,第2弾 [110] 第2弾,ゲーミングpcプレゼント企画 Top Word Pairs in Tweet in G7:
[17] #cuda,11 [17] 11,#nsight [17] #nsight,developer [17] developer,tools [17] tools,available [17] available,download [17] download,support [17] support,nvidia [17] nvidia,#ampere [17] #ampere,architecture Top Word Pairs in Tweet in G8:
[70] nvidia,時価総額でintel抜く [70] 時価総額でintel抜く,コンピューターグラフィックス用半導体を製造する米エヌビディアの時価総額が競合インテルを初めて上回った [69] yahoonewstopics,nvidia [69] コンピューターグラフィックス用半導体を製造する米エヌビディアの時価総額が競合インテルを初めて上回った,時価総額ベースで世界第3位の半導体メーカ [7] 12コア24スレッドのデスクトップ用cpuを搭載した,ryzen [7] ryzen,3900x [7] 3900x,ノートpcを販売します [7] ノートpcを販売します,サイズ15 [7] サイズ15,6型 [7] 6型,重さ2 Top Word Pairs in Tweet in G9:
[59] nvidia,market [40] market,value [36] value,tops [36] tops,intel [36] intel,71 [36] 71,rally [36] rally,year [35] zerohedge,nvidia [28] first,time [24] business,nvidia Top Word Pairs in Tweet in G10:
[71] market,cap [53] little,moment [53] moment,corporate [53] corporate,history [53] history,intel [53] intel,longer [53] longer,biggest [53] biggest,chip [53] chip,maker [53] maker,market Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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