The graph represents a network of 12,277 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 Friday, 06 January 2023 at 03:49 UTC.
The tweets in the network were tweeted over the 10-hour, 45-minute period from Thursday, 05 January 2023 at 08:15 UTC to Thursday, 05 January 2023 at 19:01 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 : 12277
Unique Edges : 22779
Edges With Duplicates : 35080
Total Edges : 57859
Number of Edge Types : 5
Tweet : 3918
Mentions : 10966
Retweet : 12595
MentionsInRetweet : 29881
Replies to : 499
Self-Loops : 4385
Reciprocated Vertex Pair Ratio : 0.0379330943847073
Reciprocated Edge Ratio : 0.0730935251798561
Connected Components : 1331
Single-Vertex Connected Components : 949
Maximum Vertices in a Connected Component : 10190
Maximum Edges in a Connected Component : 55314
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.394327
Graph Density : 0.000184457220561975
Modularity : 0.38222
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 12,277 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 Friday, 06 January 2023 at 03:49 UTC.
The tweets in the network were tweeted over the 10-hour, 45-minute period from Thursday, 05 January 2023 at 08:15 UTC to Thursday, 05 January 2023 at 19:01 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:
[1818] innovation,award [1805] #ces2023,innovation [1770] award,受賞記念 [1769] します,acerjapan [1769] 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 [1769] 担当m,#nextatacer [1769] 受賞記念,受賞を記念してモバイルノートパソコン [1769] を抽選で1名様に,します [1769] 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 [1769] #swift3,を抽選で1名様に Top Word Pairs in Tweet in G1:
[1783] #ces2023,innovation [1782] innovation,award [1769] award,受賞記念 [1768] 担当m,#nextatacer [1768] acerjapan,をフォロー [1768] 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 [1768] を抽選で1名様に,します [1768] 受賞を記念してモバイルノートパソコン,#swift3 [1768] 終日,受賞製品も登場 [1768] します,acerjapan Top Word Pairs in Tweet in G2:
[487] kalydeoo,ym78200 [480] shi4tech,fisher85m [444] mvollmer1,gvalan [443] ym78200,nicochan33 [431] nicochan33,chboursin [430] fisher85m,kalydeoo [428] pawlowskimario,mvollmer1 [422] gvalan,ipfconline1 [417] ipfconline1,laurentalaus [416] laurentalaus,shi4tech Top Word Pairs in Tweet in G3:
[127] let's,keep [127] ces,contest [127] galeon,tribe [127] tribe,maybe [127] one,galeon [127] keep,fingers [127] #healthtech,#blockchain [127] fingers,crossed [127] prizes,let's [127] #blockchain,#defi Top Word Pairs in Tweet in G4:
[1420] เปล,ยนส [1420] ว,bmw [784] bmw,vision [784] vision,dee [781] งภายนอกได,32 [781] 32,ส [781] ดต,ว [781] วถ,งภายนอกได [781] ต,วถ [781] รถคอนเซ,ปต Top Word Pairs in Tweet in G5:
[306] #bigdata,#ai [305] #frenchtech,chidambara09 [305] #traveltech,#frenchtech [305] #ehealth,#finserv [305] #selfdrivingcars,#socialmedia [305] #datascientist,#csuite [305] betamoroney,enilev [305] #healthtech,#smartcity [305] #smartcity,#datascientist [305] #cx,#ehealth Top Word Pairs in Tweet in G6:
[147] #ces,#ces2023 [128] ces,2023 [72] free,instalments [70] pay,12 [70] interest,free [70] 12,interest [59] coincidentally,available [59] available,acquisition [42] #ces2023,#ces [42] acquisition,smartwebvideo Top Word Pairs in Tweet in G7:
[362] の映画化発表,8月11日公開へ [362] グランツーリスモ,の映画化発表 [362] 8月11日公開へ,#ソニー [362] #ソニー,#gt7 [362] #gt7,#ces2023 [362] ソニー,グランツーリスモ [161] #ソニー,#ホンダ [159] #新型ev,#ces2023 [135] #ホンダ,#新型ev [103] アフィーラ,発表 Top Word Pairs in Tweet in G8:
[189] #lenovoces,#ces2023 [137] learn,more [76] more,#lenovoces [72] #asus,#ces2023 [59] #connsummit23,#ces2023 [55] #ces2023,#rogces2023 [50] ces,2023 [47] specs,#ces2023 [45] dual,screen [45] book,9i Top Word Pairs in Tweet in G9:
[122] #sonyces,#sony [122] #ces,#ces2023 [120] #sony,#ces [79] #ces2023,#playstation [64] jim,ryan [59] #playstation,#playstation5 [58] ces,2023 [53] playstation,vr [50] virtual,reality [46] #playstation5,#ps5 Top Word Pairs in Tweet in G10:
[69] press,conference [61] #sustainability,#ces2023 [60] panasonic,green [59] details,panasonic [59] ces,gt [59] watch,panasonic [59] bar,environmental [59] panasonic,raises [59] #panasonicgreenimpact,#sustainability [59] impact,plan Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
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Top Replied-To in G6:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
Top Mentioned in G7:
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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:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: