The graph represents a network of 11,216 Twitter users whose recent tweets contained "#CES2023", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 08 January 2023 at 16:25 UTC.
The tweets in the network were tweeted over the 16-hour, 20-minute period from Saturday, 07 January 2023 at 22:40 UTC to Sunday, 08 January 2023 at 15:01 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 : 11216
Unique Edges : 23420
Edges With Duplicates : 51909
Total Edges : 75329
Number of Edge Types : 5
Retweet : 15094
MentionsInRetweet : 45209
Mentions : 12303
Tweet : 2288
Replies to : 435
Self-Loops : 2845
Reciprocated Vertex Pair Ratio : 0.0372106943335994
Reciprocated Edge Ratio : 0.0717514667692604
Connected Components : 529
Single-Vertex Connected Components : 276
Maximum Vertices in a Connected Component : 10104
Maximum Edges in a Connected Component : 73879
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.897265
Graph Density : 0.000247965933641705
Modularity : 0.317753
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 11,216 Twitter users whose recent tweets contained "#CES2023", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 08 January 2023 at 16:25 UTC.
The tweets in the network were tweeted over the 16-hour, 20-minute period from Saturday, 07 January 2023 at 22:40 UTC to Sunday, 08 January 2023 at 15:01 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 : TwitterSearch
Graph Term : #CES2023
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2464] #ces2023,innovation [2455] innovation,award [2396] award,受賞記念 [2392] 受賞を記念してモバイルノートパソコン,#swift3 [2391] します,acerjapan [2391] acerグローバルプレスカンファレンス発表内容はリンクから,担当m [2391] 担当m,#nextatacer [2391] 受賞記念,受賞を記念してモバイルノートパソコン [2391] を抽選で1名様に,します [2391] 受賞製品も登場,acerグローバルプレスカンファレンス発表内容はリンクから Top Word Pairs in Tweet in G1:
[2436] #ces2023,innovation [2435] innovation,award [2394] award,受賞記念 [2391] 受賞を記念してモバイルノートパソコン,#swift3 [2390] 受賞記念,受賞を記念してモバイルノートパソコン [2390] します,acerjapan [2390] 受賞製品も登場,acerグローバルプレスカンファレンス発表内容はリンクから [2390] 日,終日 [2390] をフォロー,〆切 [2390] acerグローバルプレスカンファレンス発表内容はリンクから,担当m Top Word Pairs in Tweet in G2:
[464] #bigdata,#ai [461] #frenchtech,chidambara09 [461] #traveltech,#frenchtech [461] #ehealth,#finserv [461] #selfdrivingcars,#socialmedia [461] #socialmedia,#ces2023 [461] #datascientist,#csuite [461] betamoroney,enilev [461] #healthtech,#smartcity [461] #smartcity,#datascientist Top Word Pairs in Tweet in G3:
[980] kalydeoo,ym78200 [794] ym78200,nicochan33 [771] pawlowskimario,mvollmer1 [741] laurentalaus,shi4tech [739] shi4tech,fisher85m [721] ipfconline1,laurentalaus [718] mvollmer1,gvalan [712] nicochan33,chboursin [711] gvalan,ipfconline1 [656] fisher85m,kalydeoo Top Word Pairs in Tweet in G4:
[679] #ces,#ces2023 [253] とても有用,やパッケージ裏のインストラクションなど [253] elf,薬の期限切れ通知 [253] やパッケージ裏のインストラクションなど,様々な用途に使えるとのこと [253] 薬の期限切れ通知,とても有用 [253] 様々な用途に使えるとのこと,未来のラベルはこうなるかも [253] 未来のラベルはこうなるかも,#ces [253] こちらは独inuru社のラベルに埋め込める発光フィルム,elf [181] 比較的低価格で,サイズの制限もないとのことで [181] 特殊な透明フィルムに映像をプロジェクションすることで,高精細かつ透過度の高い表現を実現 Top Word Pairs in Tweet in G5:
[123] learn,more [96] #asus,#ces2023 [91] #ces2023,#rogces2023 [76] #lenovoces,#ces2023 [73] more,#lenovoces [53] #lgultragear,#ces2023 [52] #ces2023,#240hzoled [52] oled,display [51] versatility,finest [51] ghz,rf Top Word Pairs in Tweet in G6:
[145] motherboard,#ces2023 [94] virtual,reality [94] gloves,touch [94] reality,use [94] use,#ces2023 [94] testing,gloves [94] touch,virtual [17] y60,systems [17] hyte,y60 [17] systems,#ces2023 Top Word Pairs in Tweet in G7:
[29] ces,2023 [26] #ces,#ces2023 [11] home,energy [11] #ces2023,#ces [10] innovation,talk [7] vegas,#ces2023 [7] #ces2023,#tech [7] vision,dee [6] learn,more [5] solution,ev Top Word Pairs in Tweet in G8:
[96] model,car [96] #uber,driver [96] yr,#ces2023 [96] payments,completely [96] #transportation,#climate [96] #ces2023,#tech [96] #innovation,#transportation [96] wk,50k [96] #tech,#innovation [96] covered,gas Top Word Pairs in Tweet in G9:
[185] y'a,lourd [185] inventions,high [185] allez,c'est [185] pu,voir [185] meilleures,pires [185] parti,thread [185] thread,meilleures [185] pires,inventions [185] accrochez,y'a [185] c'est,parti Top Word Pairs in Tweet in G10:
[64] togg2022,istkaorgtr [63] #canlıyayın,togg2022 [63] trt,haber [63] haber,#ces2023 [63] özel,yayını [63] #ces2023,özel [63] yayını,vegas [63] vegas,#canlıyayın [59] bir,yolculuk [59] #redefinemobility,#togg Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: