The graph represents a network of 1,803 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 12/28/2022 5:00:34 PM. The network was obtained from Twitter on Thursday, 29 December 2022 at 06:29 UTC.
The tweets in the network were tweeted over the 2244-day, 1-hour, 0-minute period from Saturday, 05 November 2016 at 21:53 UTC to Wednesday, 28 December 2022 at 22:54 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 : 1803
Unique Edges : 2394
Edges With Duplicates : 13545
Total Edges : 15939
Number of Edge Types : 9
Tweet : 620
Retweet : 3404
MentionsInRetweet : 5935
Mentions : 3036
Replies to : 240
MentionsInReplyTo : 2518
MentionsInQuote : 139
Quote : 46
MentionsInQuoteReply : 1
Self-Loops : 2395
Reciprocated Vertex Pair Ratio : 0.0715778474399164
Reciprocated Edge Ratio : 0.13359336908825
Connected Components : 154
Single-Vertex Connected Components : 91
Maximum Vertices in a Connected Component : 927
Maximum Edges in a Connected Component : 14552
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.359158
Graph Density : 0.00126253998915361
Modularity : 0.203102
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,803 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 12/28/2022 5:00:34 PM. The network was obtained from Twitter on Thursday, 29 December 2022 at 06:29 UTC.
The tweets in the network were tweeted over the 2244-day, 1-hour, 0-minute period from Saturday, 05 November 2016 at 21:53 UTC to Wednesday, 28 December 2022 at 22:54 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:
[1459] #csuite,#digitalhealth [1452] #datascientist,#csuite [1452] #digitalhealth,#web3 [1450] #ehealth,#finserv [1425] #cx,#ehealth [1423] #web3,#cx [1080] #finserv,#cloud [968] #ai,#machinelearning [961] #machinelearning,#iot [910] #iot,#5g Top Word Pairs in Tweet in G1:
[159] #csuite,#digitalhealth [158] #datascientist,#csuite [157] #digitalhealth,#web3 [155] #ehealth,#finserv [155] #cx,#ehealth [154] #web3,#cx [149] chidambara09,#healthtech [96] #finserv,#cloud [63] #ai,#machinelearning [62] #machinelearning,#iot Top Word Pairs in Tweet in G2:
[867] #ai,#machinelearning [862] #machinelearning,#iot [816] #iot,#5g [553] #metaverse,#cx [492] #autonomousvehicles,#metaverse [476] #5g,#deeplearning [474] #deeplearning,#autonomousvehicles [437] #cx,#selfdrivingcars [285] #5g,#cx [277] #cx,#vr Top Word Pairs in Tweet in G3:
[2] retired_coder,woketaylorswift [2] viralrichseo,cevedolungo [2] kikomints,0xbalrog [2] liwenxi10,enzus93 [2] the_reserve1,chubbycatoc [2] forrestbe,victor_lebrvn [2] jjackclown,wafflepuff7950 [2] masakawa,the_reserve1 [2] wow,amazing [2] fat_fashiontech,dynasty992 Top Word Pairs in Tweet in G4:
[1293] #csuite,#digitalhealth [1289] #ehealth,#finserv [1288] #datascientist,#csuite [1288] #digitalhealth,#web3 [1263] #cx,#ehealth [1262] #web3,#cx [981] #finserv,#cloud [760] #cloud,#insurtech [663] chidambara09,#healthtech [616] #traveltech,#frenchtech Top Word Pairs in Tweet in G5:
[84] apple,watch [63] fashion,tech [62] watch,充電器 [54] 自動,泡 [52] ハンドソープ,ディスペンサー [40] finder,#fashiontech [40] #fashiontech,finder [37] ワイヤレス充電器,スタンド [37] 充電器,ワイヤレス充電器 [37] ワイヤレス充電器,apple Top Word Pairs in Tweet in G6:
[27] styles,#fashiontech [26] august12th_,world [26] rely,styles [26] world,rely [5] merry,christmas [4] don,forget [4] willing,talktailor [4] place,anything [4] please,learn [4] world,relies Top Word Pairs in Tweet in G7:
[34] customer,experience [31] find,#cappasity [25] trends,2023 [24] create,cappasity [23] #cappasity,3d [23] read,article [22] #cappasity,#3dimaging [21] technology,trends [20] 3d,view [19] watch,video Top Word Pairs in Tweet in G9:
[6] #nftcommunity,#digitalfashion [5] look,fantástic [5] brand,vision [5] vision,look [5] fantástic,designs [5] #digitalfashion,#metaverse [5] wonderful,brand [5] designs,#nftcommunity [4] see,level [4] #metaverse,#fa Top Word Pairs in Tweet in G10:
[36] latest,style [36] style,exec [36] exec,daily [36] #fashion,#fashiontech [21] daily,#fashion [15] daily,thanks 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 G6:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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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: