The graph represents a network of 1,234 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, 06 August 2020 at 05:25 UTC.
The requested start date was Thursday, 06 August 2020 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 13-day, 22-hour, 6-minute period from Thursday, 23 July 2020 at 01:00 UTC to Wednesday, 05 August 2020 at 23:06 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 : 1234
Unique Edges : 1642
Edges With Duplicates : 3058
Total Edges : 4700
Number of Edge Types : 5
Retweet : 1192
MentionsInRetweet : 2582
Mentions : 589
Tweet : 319
Replies to : 18
Self-Loops : 349
Reciprocated Vertex Pair Ratio : 0.0334513970877607
Reciprocated Edge Ratio : 0.0647372429550647
Connected Components : 102
Single-Vertex Connected Components : 59
Maximum Vertices in a Connected Component : 996
Maximum Edges in a Connected Component : 4225
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.051509
Graph Density : 0.00172590340461722
Modularity : 0.35086
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 1,234 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, 06 August 2020 at 05:25 UTC.
The requested start date was Thursday, 06 August 2020 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 13-day, 22-hour, 6-minute period from Thursday, 23 July 2020 at 01:00 UTC to Wednesday, 05 August 2020 at 23:06 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:
[565] #vr,#ar [527] techamazing,enricomolinari [484] #ar,#marketing [471] #marketing,#retailtech [460] enricomolinari,#vr [443] changing,dress [443] dress,future [430] love,changing [351] #retailtech,#fashiontech [294] future,techamazing Top Word Pairs in Tweet in G1:
[189] #vr,#ar [172] techamazing,enricomolinari [160] ty,techamazing [133] enricomolinari,#vr [133] #ar,#marketing [122] #marketing,#retailtech [98] future,ty [97] love,changing [97] changing,dress [97] dress,future Top Word Pairs in Tweet in G2:
[297] #vr,#ar [293] changing,dress [293] dress,future [292] #ar,#marketing [292] #marketing,#retailtech [288] love,changing [279] #retailtech,#fashiontech [278] techamazing,enricomolinari [270] enricomolinari,#vr [262] future,techamazing Top Word Pairs in Tweet in G3:
[69] techamazing,enricomolinari [66] #vr,#ar [54] future,ty [53] #ar,#marketing [52] enricomolinari,#vr [51] #marketing,#retailtech [48] ty,mashable [48] changing,dress [48] dress,future [43] bodysuit,future Top Word Pairs in Tweet in G4:
[39] 注目記事ピックアップ,#fashiontechnews [35] #ファッションテック,#fashiontech [35] #fashiontech,#zozotech [35] #zozotech,#ファッションビジネス [14] #fashiontechnews,#ファッションテック [10] #fashiontechnews,特集 [7] computer,vision [7] vision,big [7] big,impact [7] impact,fashion Top Word Pairs in Tweet in G5:
[22] device,help [22] help,track [22] track,location [22] location,wearer [22] wearer,case [22] case,emergency [17] emergency,sos [15] sos,inbuilt [15] #wearabletech,#fashiontech [13] inbuilt,button Top Word Pairs in Tweet in G6:
[49] #fashiontech,#retailtech [35] #retailtech,#wearables [35] #wearables,#360fashion [35] #360fashion,read [29] read,aninanet [27] #ledribbon,#dyi [27] #dyi,#tutorial [27] #tutorial,#steam [27] #steam,#stem [27] #stem,rosesoma88 Top Word Pairs in Tweet in G7:
[29] fabric,reality [26] reality,finally [26] finally,immersive [26] immersive,xr [26] xr,brand [26] brand,experience [26] experience,worth [26] worth,hype [26] hype,forbes [25] katiebarontweet,fabric Top Word Pairs in Tweet in G8:
[12] enricomolinari,great [12] influencer,ty [12] nodexl,nodexl_mktng [11] nodexl,enricomolinari [11] great,global [11] global,#traveltech [11] #traveltech,colleagues [11] colleagues,influencer [11] ty,nodexl [11] nodexl_mktng,enricomolinar Top Word Pairs in Tweet in G9:
[11] don,miss [11] miss,fashiontech [11] fashiontech,beautytech [11] beautytech,seen [11] seen,california [11] california,seoul [11] seoul,co [11] co,fkmtltoo6d [10] beautytechseoul,don [7] exciting,news Top Word Pairs in Tweet in G10:
[7] #fashiontech,landscape [6] first,fibre [6] fibre,digitise [6] digitise,source [6] source,#cotton [6] #cotton,lead [6] lead,way [6] way,model [6] model,digital [6] digital,material Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G5:
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: