The graph represents a network of 3,627 Twitter users whose recent tweets contained "covid 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 Tuesday, 07 September 2021 at 19:35 UTC.
The tweets in the network were tweeted over the 8-day, 6-hour, 29-minute period from Monday, 30 August 2021 at 12:53 UTC to Tuesday, 07 September 2021 at 19:23 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 : 3627
Unique Edges : 3629
Edges With Duplicates : 450
Total Edges : 4079
Number of Edge Types : 5
Replies to : 372
Retweet : 2317
Mentions : 517
MentionsInRetweet : 225
Tweet : 648
Self-Loops : 665
Reciprocated Vertex Pair Ratio : 0.0177424288773325
Reciprocated Edge Ratio : 0.0348662458671476
Connected Components : 632
Single-Vertex Connected Components : 280
Maximum Vertices in a Connected Component : 1417
Maximum Edges in a Connected Component : 1418
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 2.755112
Graph Density : 0.000252974907352788
Modularity : 0.767722
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 3,627 Twitter users whose recent tweets contained "covid 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 Tuesday, 07 September 2021 at 19:35 UTC.
The tweets in the network were tweeted over the 8-day, 6-hour, 29-minute period from Monday, 30 August 2021 at 12:53 UTC to Tuesday, 07 September 2021 at 19:23 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 : covid fashion
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:
[1069] fast,fashion [1059] many,cc [1059] cc,apologized [1059] apologized,expensive [1059] expensive,merch [1059] merch,good [1059] good,thing [1059] thing,means [1059] means,fast [1059] fashion,workers Top Word Pairs in Tweet in G1:
[1058] many,cc [1058] cc,apologized [1058] apologized,expensive [1058] expensive,merch [1058] merch,good [1058] good,thing [1058] thing,means [1058] means,fast [1058] fast,fashion [1058] fashion,workers Top Word Pairs in Tweet in G2:
[359] girlfriend,thinks [359] thinks,masks [359] masks,remain [359] remain,style [359] style,covid [359] covid,mostly [359] mostly,over [359] over,future [359] future,people [359] people,comfortable Top Word Pairs in Tweet in G3:
[96] covid,19 [28] #instagram,#love [27] fashion,week [27] #news,#covid [26] #covid,#india [26] #follow,#like [26] #like,#media [22] #trending,#politics [17] #india,#coronavirus [17] #love,#follow Top Word Pairs in Tweet in G4:
[128] hi,ma [128] ma,student [128] student,lcf [128] lcf,incredibly [128] incredibly,helpful [128] helpful,anyone [128] anyone,uk [128] uk,experienced [128] experienced,fashion [128] fashion,rental Top Word Pairs in Tweet in G5:
[117] chinos,joggers [117] joggers,bare [117] bare,shoulders [117] shoulders,extra [117] extra,large [117] large,handbags [117] handbags,singing [117] singing,clapping [117] clapping,scrolling [117] scrolling,phones Top Word Pairs in Tweet in G6:
[109] latest,survey [109] survey,independent [109] independent,fashion [109] fashion,retailers [109] found,83 [109] negatively,affected [109] affected,brexit [84] retailers,found [84] 83,negatively [84] brexit,one Top Word Pairs in Tweet in G7:
[90] stir,crazy [90] crazy,australians [90] australians,back [90] back,under [90] under,covid [90] covid,19 [90] 19,lockdowns [90] lockdowns,trying [90] trying,fashion [90] fashion,wildlife Top Word Pairs in Tweet in G8:
[2] mutations,selected Top Word Pairs in Tweet in G9:
[46] covid,19 [42] prince,harry [42] harry,used [42] used,surprise [42] surprise,appearance [42] appearance,gq [42] gq,men [42] men,year [42] year,awards [42] awards,highlight Top Word Pairs in Tweet in G10:
[40] hey,travelgov [40] travelgov,writing [40] writing,memos [40] memos,self [40] self,excusing [40] excusing,mismanagement [40] mismanagement,terrible [40] terrible,covid [40] covid,response [40] response,going Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G3:
Top Mentioned in G4:
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: