The graph represents a network of 256 Twitter users whose recent tweets contained "#FashionTech", 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, 20 November 2022 at 08:19 UTC.
The tweets in the network were tweeted over the 7-day, 8-hour, 42-minute period from Saturday, 12 November 2022 at 16:32 UTC to Sunday, 20 November 2022 at 01:15 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 : 256
Unique Edges : 549
Edges With Duplicates : 421
Total Edges : 970
Number of Edge Types : 5
Retweet : 462
Replies to : 8
MentionsInRetweet : 348
Mentions : 69
Tweet : 83
Self-Loops : 111
Reciprocated Vertex Pair Ratio : 0.0429553264604811
Reciprocated Edge Ratio : 0.0823723228995058
Connected Components : 36
Single-Vertex Connected Components : 15
Maximum Vertices in a Connected Component : 166
Maximum Edges in a Connected Component : 810
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.070893
Graph Density : 0.0092984068627451
Modularity : 0.489725
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 256 Twitter users whose recent tweets contained "#FashionTech", 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, 20 November 2022 at 08:19 UTC.
The tweets in the network were tweeted over the 7-day, 8-hour, 42-minute period from Saturday, 12 November 2022 at 16:32 UTC to Sunday, 20 November 2022 at 01:15 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 : #FashionTech
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:
[375] #python,#reactjs [355] #linux,#rstats [350] #serverless,#linux [347] #metaverse,#cx [347] #ai,#machinelearning [344] #datascience,#bigdata [343] #vr,#serverless [342] #5g,#deeplearning [341] #machinelearning,#iot [341] #programming,#coding Top Word Pairs in Tweet in G1:
[358] #python,#reactjs [336] #linux,#rstats [332] #serverless,#linux [329] #ai,#machinelearning [329] #metaverse,#cx [326] #datascience,#bigdata [325] #vr,#serverless [324] #5g,#deeplearning [323] #blockchain,#100daysofcode [323] #machinelearning,#iot Top Word Pairs in Tweet in G2:
[19] britishvogue,#luxury [19] oaxm2simgc,britishvogue [19] mikeflache,danfiehn [19] shi4tech,enilev [19] #fashion,#fashiontech [19] co,oaxm2simgc [19] cc,nicochan33 [19] mvollmer1,shi4tech [19] #fashiontech,cc [19] suit,co Top Word Pairs in Tweet in G3:
[18] #rstats,#java [18] #coding,#blockchain [18] #programming,#coding [18] #5g,#deeplearning [18] #iot,#5g [18] #vr,#serverless [18] #metaverse,#cx [18] #ai,#machinelearning [18] #datascience,#bigdata [18] #serverless,#linux Top Word Pairs in Tweet in G4:
[8] #wearabletech,#metaverse [8] #fashionnft,#smartgarments [8] #web3,#fashionnft [8] #smartgarments,#wearabletech [8] happening,fashion [8] #digitalfashion,#web3 [8] #fashiontech,#digitaltransformation [8] #digitaltransformation,happening [8] answer,#digitalfashion [8] #metaverse,learn Top Word Pairs in Tweet in G5:
[13] feature,preview [13] blur,background [13] professional,looking [13] make,more [13] allow,blur [13] preview,see [13] see,process [13] views,make [13] background,3d [13] #fashiontech,#ecommerce Top Word Pairs in Tweet in G6:
[4] reasons,grantdkeller [4] design,one [4] interactive,clipstudiopaint [4] one,major [4] #fashiondesign,#coloredpencil [4] using,ai [4] level,control [4] developing,wanted [4] wanted,level [4] control,using Top Word Pairs in Tweet in G7:
[7] info,#fashiontech [7] inspire,fashion [7] relies,styles [7] fashion,styles [7] visit,more [7] styles,create [7] world,relies [7] create,inspire [7] more,info [7] styles,visit Top Word Pairs in Tweet in G8:
[5] #pbr,#yarn [5] #substance3ddesigner,#photoshop [5] #garment,#substance3ddesigner [5] #yarn,#garment [5] #fashiontech,#pbr [5] #procedural,substance3d [5] #breakdown,#full [5] #fabric,#material [5] #madewithsubstance,#fashion [5] traditional,#japanese Top Word Pairs in Tweet in G9:
[4] level,creativity [4] run,fast [4] emotions,voices [4] #nftcommunity,#nfts [4] #vote,#fashiontech [4] many,emotions [4] see,level [4] imagination,many [4] #contest,#vote [4] 27,#digitalfashion Top Word Pairs in Tweet in G10:
[7] #traveltech,#frenchtech [7] chidambara09,#healthtech [7] #frenchtech,#fashiontech [7] #datascientist,#csuite [7] #healthtech,#cnssummit2022 [7] #cx,#ehealth [7] #finserv,#cloud [7] #nodexl,#traveltech [7] #cnssummit2022,#datascientist [7] #web3,#cx Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G7:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G5:
Top Mentioned in G6:
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: