The graph represents a network of 2,471 Twitter users whose recent tweets contained "fashiontech", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/15/2023 5:00:35 PM. The network was obtained from Twitter on Thursday, 16 February 2023 at 06:29 UTC.
The tweets in the network were tweeted over the 2293-day, 2-hour, 52-minute period from Saturday, 05 November 2016 at 21:53 UTC to Thursday, 16 February 2023 at 00:45 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 2471
Unique Edges : 3489
Edges With Duplicates : 14414
Total Edges : 17903
Number of Edge Types : 9
Retweet : 3050
MentionsInRetweet : 7075
Tweet : 1199
Replies to : 384
MentionsInReplyTo : 3226
Mentions : 2750
MentionsInQuote : 153
Quote : 46
MentionsInQuoteReply : 20
Self-Loops : 2067
Reciprocated Vertex Pair Ratio : 0.0742656567522631
Reciprocated Edge Ratio : 0.138263112639725
Connected Components : 353
Single-Vertex Connected Components : 252
Maximum Vertices in a Connected Component : 1817
Maximum Edges in a Connected Component : 16189
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.853021
Graph Density : 0.000952752331908437
Modularity : 0.226885
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,471 Twitter users whose recent tweets contained "fashiontech", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/15/2023 5:00:35 PM. The network was obtained from Twitter on Thursday, 16 February 2023 at 06:29 UTC.
The tweets in the network were tweeted over the 2293-day, 2-hour, 52-minute period from Saturday, 05 November 2016 at 21:53 UTC to Thursday, 16 February 2023 at 00:45 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[562] ハンドソープ,ディスペンサー [520] 自動,泡 [340] #machinelearning,#iot [339] #ai,#machinelearning [317] fashion,meets [316] project,shaking [316] next,days [316] technology,over [316] meets,technology [316] over,next Top Word Pairs in Tweet in G1:
[261] #machinelearning,#iot [260] #ai,#machinelearning [238] #iot,#5g [194] #5g,#cx [193] #cx,#vr [168] #vr,#selfdrivingcars [150] #selfdrivingcars,#datascience [148] #datascience,#fashiontech [118] #bigdata,#analytics [115] #fashiontech,#bigdata Top Word Pairs in Tweet in G2:
[316] project,shaking [316] technology,over [316] over,next [316] meets,technology [316] days,giving [316] fashion,meets [316] peek,project [316] next,days [316] sneak,peek [316] giving,sneak Top Word Pairs in Tweet in G3:
[279] 自動,泡 [259] ハンドソープ,ディスペンサー [140] ディスペンサー,自動 [137] 泡,充電式 [131] 泡,液体 [130] 自動,ソープ [129] ソープ,ディスペンサー [124] usb,おしゃれ泡 [124] 充電式,usb [124] 電池大容量,お洒落 Top Word Pairs in Tweet in G4:
[28] #fashion,#fashiontech [23] mvollmer1,nicochan33 [23] glengilmore,mvollmer1 [22] #retailtech,#fashiontech [19] betamoroney,glengilmore [18] many,thanks [17] #nrf2023,#nrf [17] #nft,#3d [17] #fashiontech,jamesvgingerich [17] #web3,#metaverse Top Word Pairs in Tweet in G5:
[51] #retailtech,#fashiontech [32] thanks,photochromic [32] properties,dye [32] used,garment [32] photochromic,properties [32] goes,beige [32] dye,used [32] dress,goes [32] beige,pink [32] garment,#physics Top Word Pairs in Tweet in G6:
[151] #digitalfashion,#fashiontech [143] become,#dressxaicreator [143] distributed,monetized [143] #dressxaicreator,exclusive [143] produced,distributed [143] chance,produced [143] exclusive,chance [143] submission,become [140] monetized,inside [138] mobile,application Top Word Pairs in Tweet in G7:
[26] #nfts,#nftcommunity [25] #nft,#nfts [14] antonitudisco,philipp_plein [14] #nftcommunity,bimedotcom [14] #fashiontech,#nft [14] fashion,antonitudisco [14] amazing,digital [14] digital,fashion [14] philipp_plein,#fashiontech [13] jeanyvesgonin,amazing Top Word Pairs in Tweet in G8:
[63] #fashion,#fashiontech [60] exec,daily [60] latest,style [60] style,exec [37] daily,#fashion [23] daily,thanks [3] confa,#fashion [3] latest,confa [3] #fashion,news [3] news,thanks Top Word Pairs in Tweet in G9:
[11] #technologyinnovations,#fashiontech [10] #brandstrategy,#retailer [6] #newlaunch,#fashiontech [5] #retailbrand,#newlaunch [5] #fashiontechnology,#technologyinnovations [5] #funding,#fashiontechnology [4] funding,round [4] series,funding [4] #retailer,#retailbrand [3] men's,fashion Top Word Pairs in Tweet in G10:
[2] seanrahavy,fat_fashiontech Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G9:
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 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:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: