The graph represents a network of 2,016 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 1/11/2023 5:00:34 PM. The network was obtained from Twitter on Thursday, 12 January 2023 at 06:29 UTC.
The tweets in the network were tweeted over the 2258-day, 2-hour, 1-minute period from Saturday, 05 November 2016 at 21:53 UTC to Wednesday, 11 January 2023 at 23:54 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 : 2016
Unique Edges : 2915
Edges With Duplicates : 14033
Total Edges : 16948
Number of Edge Types : 9
Tweet : 777
Retweet : 3354
MentionsInRetweet : 6392
Mentions : 3007
Replies to : 266
MentionsInReplyTo : 2943
MentionsInQuote : 159
Quote : 49
MentionsInQuoteReply : 1
Self-Loops : 2313
Reciprocated Vertex Pair Ratio : 0.0745397395599461
Reciprocated Edge Ratio : 0.138737985791893
Connected Components : 177
Single-Vertex Connected Components : 113
Maximum Vertices in a Connected Component : 1014
Maximum Edges in a Connected Component : 15361
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.445438
Graph Density : 0.00117816771042577
Modularity : 0.216389
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2,016 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 1/11/2023 5:00:34 PM. The network was obtained from Twitter on Thursday, 12 January 2023 at 06:29 UTC.
The tweets in the network were tweeted over the 2258-day, 2-hour, 1-minute period from Saturday, 05 November 2016 at 21:53 UTC to Wednesday, 11 January 2023 at 23:54 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:
[1040] #csuite,#digitalhealth [1037] #ehealth,#finserv [1037] #datascientist,#csuite [1037] #digitalhealth,#web3 [1008] #web3,#cx [1006] #cx,#ehealth [966] #ai,#machinelearning [951] #machinelearning,#iot [893] #iot,#5g [670] #finserv,#cloud Top Word Pairs in Tweet in G1:
[114] #csuite,#digitalhealth [114] #datascientist,#csuite [113] #ehealth,#finserv [113] #digitalhealth,#web3 [110] #cx,#ehealth [110] #web3,#cx [108] chidambara09,#healthtech [72] #web3,#metaverse [60] #cnssummit2022,#datascientist [60] #healthtech,#cnssummit2022 Top Word Pairs in Tweet in G2:
[872] #ai,#machinelearning [859] #machinelearning,#iot [805] #iot,#5g [470] #metaverse,#cx [443] #autonomousvehicles,#metaverse [425] #deeplearning,#autonomousvehicles [394] #5g,#deeplearning [379] #cx,#selfdrivingcars [352] #5g,#cx [350] #cx,#vr Top Word Pairs in Tweet in G3:
[2] feelsgreatt,fat_fashiontech [2] aceahmed4,viralrichseo [2] forrestbe,victor_lebrvn [2] wow,amazing [2] jjackclown,wafflepuff7950 [2] postaymatias,fat_fashiontech [2] retired_coder,woketaylorswift [2] fidenza,v2 [2] liwenxi10,enzus93 [2] spoonfedgorilla,nugmanovartst Top Word Pairs in Tweet in G4:
[920] #csuite,#digitalhealth [918] #digitalhealth,#web3 [918] #ehealth,#finserv [917] #datascientist,#csuite [892] #web3,#cx [890] #cx,#ehealth [612] #finserv,#cloud [548] #cnssummit2022,#datascientist [546] #healthtech,#cnssummit2022 [530] #cloud,#insurtech Top Word Pairs in Tweet in G5:
[88] apple,watch [82] fashion,tech [76] 自動,泡 [75] ハンドソープ,ディスペンサー [66] watch,充電器 [51] #fashiontech,finder [51] finder,#fashiontech [49] 前回,圏外 [48] ワイヤレス充電器,apple [48] ワイヤレス充電器,スタンド Top Word Pairs in Tweet in G6:
[30] clouds,gather [30] global,clouds [30] onto,growth [30] 2023,holding [30] growth,global [30] holding,onto [27] #fashion,2023 [26] gather,co [26] state,#fashion [22] mckinsey,#fashiontech Top Word Pairs in Tweet in G7:
[28] styles,#fashiontech [27] rely,styles [27] world,rely [25] august12th_,world [5] merry,christmas [4] willing,talktailor [4] visit,started [4] number,one [4] don,forget [4] talktailor,number Top Word Pairs in Tweet in G8:
[34] customer,experience [32] fashion,brands [31] find,#cappasity [25] trends,2023 [24] create,cappasity [23] read,article [23] immersive,tech [23] #cappasity,3d [22] #nftcommunity,#nft [22] #nft,capp Top Word Pairs in Tweet in G9:
[47] latest,style [47] style,exec [47] exec,daily [47] #fashion,#fashiontech [29] daily,#fashion [18] daily,thanks Top Word Pairs in Tweet in G10:
[19] coffee,captain [18] founder,jamesacostala [18] nftbark,part [18] jamesacostala,coffee [16] clubhousearcnft,founder [11] december,7th [11] mint,close [11] 7th,less [11] chance,community [11] close,don Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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 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: