The graph represents a network of 646 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 Wednesday, 22 March 2023 at 07:15 UTC.
The tweets in the network were tweeted over the 9-day, 3-hour, 40-minute period from Monday, 13 March 2023 at 03:18 UTC to Wednesday, 22 March 2023 at 06:58 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 : 646
Unique Edges : 2557
Edges With Duplicates : 5571
Total Edges : 8128
Number of Edge Types : 5
Mentions : 1489
Tweet : 203
Replies to : 72
MentionsInRetweet : 5620
Retweet : 744
Self-Loops : 282
Reciprocated Vertex Pair Ratio : 0.102650874224478
Reciprocated Edge Ratio : 0.18618925831202
Connected Components : 113
Single-Vertex Connected Components : 67
Maximum Vertices in a Connected Component : 417
Maximum Edges in a Connected Component : 7720
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.711882
Graph Density : 0.00938392492860057
Modularity : 0.249975
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 646 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 Wednesday, 22 March 2023 at 07:15 UTC.
The tweets in the network were tweeted over the 9-day, 3-hour, 40-minute period from Monday, 13 March 2023 at 03:18 UTC to Wednesday, 22 March 2023 at 06:58 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:
[278] #govtech,#chatgpt [278] #marketing,#fashiontech [278] #finserv,#govtech [278] #fintech,#finserv [278] #fashiontech,#fintech [240] enricomolinari,#marketing [240] wef,enricomolinari [185] roles,#metaverse [119] #machinelearning,#iot [119] #ai,#machinelearning Top Word Pairs in Tweet in G1:
[109] #govtech,#chatgpt [109] #marketing,#fashiontech [109] #finserv,#govtech [109] #fintech,#finserv [109] #fashiontech,#fintech [85] enricomolinari,#marketing [85] wef,enricomolinari [80] roles,#metaverse [64] spirosmargaris,mvollmer1 [64] psb_dc,spirosmargaris Top Word Pairs in Tweet in G2:
[109] #fashiontech,#bigdata [109] #ai,#machinelearning [109] #datascience,#fashiontech [109] #machinelearning,#iot [109] #bigdata,#analytics [109] #selfdrivingcars,#datascience [106] #analytics,#programming [106] #programming,#coding [104] #serverless,#linux [101] #coding,#blockchain Top Word Pairs in Tweet in G3:
[145] #finserv,#govtech [145] #fashiontech,#fintech [145] #govtech,#chatgpt [145] #fintech,#finserv [145] #marketing,#fashiontech [135] wef,enricomolinari [135] enricomolinari,#marketing [87] roles,#metaverse [52] capabilities,#metaverse [38] #metaverse,growth Top Word Pairs in Tweet in G4:
[17] #fashion,#fashiontech [12] learn,more [11] fashion,industry [10] need,#fashiontech [9] #metaverse,learn [9] answer,#digitalfashion [9] industry,answer [9] #smartgarments,#wearabletech [9] happening,fashion [9] #digitaltransformation,happening Top Word Pairs in Tweet in G5:
[10] #digitalfashion,#fashiontech [8] #ar,#fashion [8] #digitalfashionweek,#aifashion [8] #nft,#ar [8] #fashion,#digitalfashionweek [8] #fashiontech,#nft [8] #aifashion,#virtualfashion [7] digital,fashion [5] #web3,centric [5] #fashiontech,initiatives Top Word Pairs in Tweet in G6:
[3] joannmoretti,treasadovander [3] thierry_pires,alamadi1 [3] rwang0,phillipneely14 [3] treasadovander,lorimoreno [3] psb_dc,sabinevdl [3] alamadi1,rwang0 [3] #fashiontech,#nasa [3] sps123star,helenbevan [3] helenbevan,joannmoretti [3] dreamer3dn,sps123star Top Word Pairs in Tweet in G8:
[7] #metaverse,#fashiontech [5] #digitalfashion,#metaverse [5] amazing,guest [5] reveal,#generativeai [5] awesome,team [5] project,reveal [5] guest,speakers [5] speakers,project [5] #generativeai,#digitalfashion [5] going,awesome Top Word Pairs in Tweet in G9:
[44] #blockchain,#fashiontech [44] #nonfungible,#art [44] #fashiontech,#interior [44] #magicaldraw,#nonfungible [44] #cryptoart,#magicaldraw [44] #nftcollectors,#blockchain [44] #interior,#style [42] #style,#collection [42] #spacematrix,#evolution [42] #evolution,#nftgallery Top Word Pairs in Tweet in G10:
[6] #fashionlovers,#nftmarketplace [6] #nftfashion,#fashiontech [6] happy,week [6] #nftmarketplace,#nftfashion [6] week,#fashionlovers [6] #fashiontech,#furureoffashion [4] #metaverse,#sunday [4] #fashiontech,#clo3d [4] #clo3d,#digitalfashion [4] 3d,artist Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
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 G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: