The graph represents a network of 7,169 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, 30 January 2021 at 02:36 UTC.
The requested start date was Saturday, 30 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 6-day, 10-hour, 19-minute period from Friday, 22 January 2021 at 19:54 UTC to Friday, 29 January 2021 at 06:14 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 : 7169
Unique Edges : 3380
Edges With Duplicates : 12286
Total Edges : 15666
Number of Edge Types : 5
Retweet : 5723
MentionsInRetweet : 7238
Tweet : 1221
Replies to : 633
Mentions : 851
Self-Loops : 1245
Reciprocated Vertex Pair Ratio : 0.00462557819727466
Reciprocated Edge Ratio : 0.00920856147336984
Connected Components : 1081
Single-Vertex Connected Components : 537
Maximum Vertices in a Connected Component : 4875
Maximum Edges in a Connected Component : 12637
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.778126
Graph Density : 0.000156380771376761
Modularity : 0.472553
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 7,169 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, 30 January 2021 at 02:36 UTC.
The requested start date was Saturday, 30 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 6-day, 10-hour, 19-minute period from Friday, 22 January 2021 at 19:54 UTC to Friday, 29 January 2021 at 06:14 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:
[4093] geforce,rtx [2489] rtx,30 [2396] nvidia,geforce [2165] nvidiageforcefr,#giveaway [2002] 30,series [1828] laptop,spotlight [1704] key,features [1704] features,nvidia [1702] nvidiageforce,today [1397] pc,portables Top Word Pairs in Tweet in G1:
[2104] nvidiageforcefr,#giveaway [1378] geforce,rtx [1376] rtx,30 [1366] #giveaway,série [1366] série,geforce [1366] 30,disponible [1366] disponible,nouveaux [1366] nouveaux,pc [1366] pc,portables [1366] portables,commentez Top Word Pairs in Tweet in G2:
[1711] geforce,rtx [1693] 30,series [1624] nvidia,geforce [1615] laptop,spotlight [1615] key,features [1615] features,nvidia [1613] nvidiageforce,today [909] rtx,3070 [907] series,laptop [906] today,30 Top Word Pairs in Tweet in G3:
[221] nvidia,geforce [162] geforce,rtx [69] asus,nvidia [64] stock,changed [64] 01,00 [64] #rtxon,#nvidiageforce [58] rtx,3080 [54] rog,strix [42] amazon,uk [42] uk,stock Top Word Pairs in Tweet in G4:
[22] deep,learning [20] artificial,intelligence [19] data,science [17] nvidia,rapids [17] end,end [15] ai,data [15] end,#machinelearning [14] accelerated,performance [14] nvidia,a100 [13] rapids,oraclecloud Top Word Pairs in Tweet in G5:
[274] one,lucky [259] gaming,pc [258] 000,nvidia [258] rtx,3080 [258] 3080,gaming [258] pc,one [232] retweets,tags [229] lucky,winner [223] winner,retweets [221] giving,000 Top Word Pairs in Tweet in G6:
[338] geforce,rtx [276] rtx,30 [255] 30,series [198] nvidia,geforce [189] laptop,spotlight [140] #ultimateplay,laptop [140] #alienware,m17 [140] m17,r4 [137] spotlight,#alienware [137] series,gpu Top Word Pairs in Tweet in G7:
[237] geforce,rtx [226] rtx,serie [226] serie,30 [170] portátiles,geforce [168] 30,están [168] están,celebrarlo [168] celebrarlo,vamos [168] vamos,sortear [168] sortear,día [168] día,ojo Top Word Pairs in Tweet in G8:
[104] 調べると180fpsで固定らしいのでgpuが焼き尽くして壊れる前にnvidiaコントロールパネルでアプリ毎の制限をする,これで負荷的にはpso2よりはちょっと高いぐらいに落ち着いわ [103] atelier_sakura,調べると180fpsで固定らしいのでgpuが焼き尽くして壊れる前にnvidiaコントロールパネルでアプリ毎の制限をする [103] これで負荷的にはpso2よりはちょっと高いぐらいに落ち着いわ,早いところクライアント側でfps制限オプション付けな [8] mihoyo,giving [8] giving,away [8] away,ps5 [8] ps5,nvidia [8] nvidia,rtx [8] rtx,3070 [8] 3070,graphic Top Word Pairs in Tweet in G9:
[17] #virtualphotography,#vgpunite [17] #vgpunite,#nvidia [12] #nvidia,#gaming [7] warmth,rockstargames [7] rockstargames,#reddeadredemption2 [7] #reddeadredemption2,#reddeadredemption2pc [7] #reddeadredemption2pc,#virtualphotography [6] zvworlds,warmth [6] #gaming,#videogamephot [4] #cyberpunk2077,#virtualphotography Top Word Pairs in Tweet in G10:
[19] 詳細はこちら,英語 [17] geforce,rtx [11] nvidia,reflex [9] alienware,m15 [9] m15,m17 [9] m17,r4 [9] r4,第10世代インテル [9] 第10世代インテル,core [9] core,i9kプロセッサーおよび [9] i9kプロセッサーおよび,nvidia 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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