The graph represents a network of 1,668 Twitter users whose tweets in the requested range contained "fashiontech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 23 June 2022 at 05:34 UTC.
The requested start date was Thursday, 23 June 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 7-day, 9-hour, 6-minute period from Wednesday, 15 June 2022 at 09:46 UTC to Wednesday, 22 June 2022 at 18:52 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 : 1668
Unique Edges : 1057
Edges With Duplicates : 13934
Total Edges : 14991
Number of Edge Types : 5
Retweet : 6066
MentionsInRetweet : 6443
Tweet : 656
Mentions : 1791
Replies to : 35
Self-Loops : 1785
Reciprocated Vertex Pair Ratio : 0.0404607206142942
Reciprocated Edge Ratio : 0.0777746239000852
Connected Components : 74
Single-Vertex Connected Components : 40
Maximum Vertices in a Connected Component : 918
Maximum Edges in a Connected Component : 10987
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.175463
Graph Density : 0.00126701278449346
Modularity : 0.20594
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,668 Twitter users whose tweets in the requested range contained "fashiontech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 23 June 2022 at 05:34 UTC.
The requested start date was Thursday, 23 June 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 7-day, 9-hour, 6-minute period from Wednesday, 15 June 2022 at 09:46 UTC to Wednesday, 22 June 2022 at 18:52 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 : GraphServerTwitterSearch
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:
[3042] #cx,#women [3037] #women,#ehealth [3035] #digitalhealth,#cx [3031] #des2022,#digitalhealth [3024] #datascientist,#mwc22 [3018] #mwc22,#ai [3011] #healthtech,#datascientist [3007] #ai,#des2022 [2907] #ehealth,#ces2023 [2031] #iot,#iiot Top Word Pairs in Tweet in G1:
[1982] #iot,#iiot [1969] #ai,#iot [1956] #iiot,#cx [1877] #cx,#machinelearning [1770] #machinelearning,#selfdrivingcars [1608] #selfdrivingcars,#fashiontech [1445] #fashiontech,#smartcity [551] #smartcity,#autonomousvehicle [379] #cx,#women [379] #women,#ehealth Top Word Pairs in Tweet in G2:
[254] style,trending [226] waiting,list [195] connect,favorite [184] fashion,designers [169] seamstress,designer [164] heard,talktailor [164] join,waiting [142] favorite,tailor [134] comfort,home [127] sometimes,wonder Top Word Pairs in Tweet in G3:
[2663] #cx,#women [2658] #women,#ehealth [2657] #digitalhealth,#cx [2654] #des2022,#digitalhealth [2648] #datascientist,#mwc22 [2643] #mwc22,#ai [2636] #healthtech,#datascientist [2634] #ai,#des2022 [2533] #ehealth,#ces2023 [1643] chidambara09,#healthtech Top Word Pairs in Tweet in G4:
[51] depend,styles [32] naaaaah,liquoroseafije_ [32] liquoroseafije_,need [32] need,depend [32] styles,don [32] don,make [32] make,sense [32] sense,more [32] more,#fashiontech [31] august12th_,naaaaah Top Word Pairs in Tweet in G5:
[29] apple,watch [17] ハンドソープ,ディスペンサー [17] watch,充電器 [17] fashion,tech [15] 自動,泡 [14] ワイヤレス充電器,3in1 [14] 充電スタンド,apple [14] 前回,圏外 [11] 充電器,apple [11] アップルウォッチ,充電器 Top Word Pairs in Tweet in G6:
[31] designed,full [31] full,jewelry [31] jewelry,collection [31] collection,thediarrablu [31] thediarrablu,math [31] math,equations [31] equations,using [31] using,desmos [31] desmos,share [30] dbdiarrabousso,designed Top Word Pairs in Tweet in G7:
[7] #fashiontech,leader [7] leader,anoukwipprecht [7] anoukwipprecht,designs [7] designs,3d [7] 3d,printing [7] printing,materials [7] materials,emulating [7] emulating,human [7] human,body [7] body,showcasing Top Word Pairs in Tweet in G8:
[2] meet,tretorn [2] tretorn,inventing [2] inventing,future [2] future,green [2] green,footwear [2] footwear,#sustainability [2] #sustainability,#sdg13 [2] #sdg13,#fashiontech [2] #fashiontech,unbiodiversity Top Word Pairs in Tweet in G9:
[3] latest,fashion [3] fashion,magazine [3] magazine,english [3] english,thanks [3] #fashion,#fashiontech Top Word Pairs in Tweet in G10:
[3] thank,amazing [3] amazing,live [3] live,linkedin [3] linkedin,journalduluxefr [3] journalduluxefr,darkplanneur [3] darkplanneur,youcamapps [3] youcamapps,vivatech [3] vivatech,karenjouve [3] karenjouve,#ar [3] #ar,#ai Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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: