The graph represents a network of 1,241 Twitter users whose recent tweets contained "USA Fashion", 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, 02 April 2023 at 21:08 UTC.
The tweets in the network were tweeted over the 9-day, 2-hour, 1-minute period from Friday, 24 March 2023 at 18:52 UTC to Sunday, 02 April 2023 at 20:53 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.
Vertices : 1241
Unique Edges : 1095
Edges With Duplicates : 2930
Total Edges : 4025
Self-Loops : 2858
Reciprocated Vertex Pair Ratio : 0.005720823798627
Reciprocated Edge Ratio : 0.0113765642775882
Connected Components : 555
Single-Vertex Connected Components : 340
Maximum Vertices in a Connected Component : 40
Maximum Edges in a Connected Component : 1080
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 1.784236
Graph Density : 0.000571209482467313
Modularity : 0.277364
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,241 Twitter users whose recent tweets contained "USA Fashion", 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, 02 April 2023 at 21:08 UTC.
The tweets in the network were tweeted over the 9-day, 2-hour, 1-minute period from Friday, 24 March 2023 at 18:52 UTC to Sunday, 02 April 2023 at 20:53 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 : USA Fashion
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Vertex Radius : Betweenness Centrality
Vertex Alpha : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[676] usa,store [406] #fashion,#style [402] #birthday,#mothersday [402] #mothersday,#fathersday [402] #christmas,#birthday [387] printed,awesome [387] art,printed [386] redbubble,#rbandme [384] awesome,products [379] products,redbubble Top Word Pairs in Tweet in G1:
[60] calvin,klein [23] brand,ambassador [23] global,brand [22] global,ambassador [20] fashion,brand [15] k,pop [14] fashion,label [13] u,s [12] jungkook,named [12] brand,s Top Word Pairs in Tweet in G2:
[59] summer,2023 [59] vanillinss23,#bossnoeul [59] please,refer [59] timezone,please [59] refer,nong [59] show,29 [59] 2023,fashion [59] #,vanillinss23 [59] vanilin,spring [59] usa,timezone Top Word Pairs in Tweet in G3:
[64] bag,2018 [64] lost,bag [32] designer,based [32] made,outfitswhich [32] foxnews,sambrinton [32] houston,texas [32] tanzanian,fashion [32] recently,heard [32] outfitswhich,lost [32] news,foxnews Top Word Pairs in Tweet in G4:
[29] bella,poarch [29] bretman,rock [29] hung,out [29] more,#lizasoberano [29] out,bretman [29] poarch,more [29] rock,bella Top Word Pairs in Tweet in G5:
[6] ストリングスホテル,名古屋で [6] 名古屋で,ピカチュウ [6] ピカチュウモチーフのスイーツ,ドリンク [6] ピカチュウ,アフタヌーンティー [6] アフタヌーンティー,ピカチュウモチーフのスイーツ [5] ミッフィー,人気キッチンウェアが [5] ミニチュアサイズ,に [5] に,フェイス入りケトル [5] フェイス入りケトル,ミルクパンなど [5] 人気キッチンウェアが,ミニチュアサイズ Top Word Pairs in Tweet in G6:
[22] schedule,elle [22] tamburins,visit [22] fashion,week [22] take,time [22] jennie,picture [22] trying,erase [22] paris,fashion [22] cover,take [22] up,appearance [22] visit,porsche Top Word Pairs in Tweet in G7:
[5] #telehealth,#tech [5] #5g,#digitalhealth [5] #tech,#ai [5] #twitter,#telehealth [4] #bigdata,#twitter [4] #digitalhealth,#ehealth [4] #himss23,#5g [4] #ai,#himss23 [4] #ehealth,#medtwitter [3] #usa,#uk Top Word Pairs in Tweet in G8:
[17] records,fashion [17] holiday,season [17] 8,years [17] srimanthudu,became [17] social,content [17] srimanthudu,shatter [17] theatrical,entertainer [17] best,urstrulymahesh [17] became,watch [17] urstrulymahesh,career Top Word Pairs in Tweet in G9:
[14] showcase,new [14] whether,visit [14] #fashion,fans [14] fans,cool [14] ny,#usa [14] yorkers,#fashion [14] collection,new [14] favorite,#tajik [14] new,collection [14] cool,person Top Word Pairs in Tweet in G10:
[8] k,pop [6] #karolg,#rosalia [5] #lvmh,#vogue [5] #selenagomez,#arianagrande [5] #fashion,#lvmh [4] pop,rapper's [4] #tiktok,#fashion [4] lisa,blackpink [4] #music,#hiphop [4] fashion,icon Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G7:
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 G7:
Top Mentioned in G8:
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: