The graph represents a network of 763 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, 27 August 2020 at 05:27 UTC.
The requested start date was Thursday, 27 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 9-day, 11-hour, 0-minute period from Thursday, 13 August 2020 at 00:05 UTC to Saturday, 22 August 2020 at 11:05 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 : 763
Unique Edges : 1095
Edges With Duplicates : 2102
Total Edges : 3197
Number of Edge Types : 5
Tweet : 214
Retweet : 794
MentionsInRetweet : 1772
Mentions : 409
Replies to : 8
Self-Loops : 228
Reciprocated Vertex Pair Ratio : 0.0324594257178527
Reciprocated Edge Ratio : 0.0628778718258767
Connected Components : 85
Single-Vertex Connected Components : 41
Maximum Vertices in a Connected Component : 560
Maximum Edges in a Connected Component : 2834
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.74975
Graph Density : 0.00284482788275319
Modularity : 0.331273
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 763 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, 27 August 2020 at 05:27 UTC.
The requested start date was Thursday, 27 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 9-day, 11-hour, 0-minute period from Thursday, 13 August 2020 at 00:05 UTC to Saturday, 22 August 2020 at 11:05 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:
[152] ty,intengineering [140] intengineering,enricomolinari [100] enricomolinari,cc [98] #ai,#iot [75] #fashiontech,#retailtech [64] #marketing,#ai [57] ty,mashable [57] mashable,enricomolinari [54] #retailtech,#marketing [50] ty,cheddar Top Word Pairs in Tweet in G1:
[53] ty,intengineering [49] intengineering,enricomolinari [42] #ai,#iot [30] #marketing,#ai [22] ty,mashable [22] mashable,enricomolinari [21] #ar,#vr [20] ty,cheddar [20] cheddar,enricomolinari [20] elegant,cover Top Word Pairs in Tweet in G2:
[76] ty,intengineering [69] intengineering,enricomolinari [38] ty,seeker [38] seeker,enricomolinari [37] enricomolinari,#tourism [37] #tourism,meets [37] meets,luxury [37] luxury,#solar [37] #solar,catamaran [37] catamaran,mt Top Word Pairs in Tweet in G3:
[40] #fashiontech,#retailtech [40] #retailtech,#wearables [40] #wearables,#360fashion [40] #360fashion,read [35] read,aninanet [29] 注目記事ピックアップ,#fashiontechnews [25] #ファッションテック,#fashiontech [25] #fashiontech,#zozotech [24] #zozotech,#ファッションビジネス [23] #fashiontechnews,#ファッションテック Top Word Pairs in Tweet in G4:
[37] enricomolinari,cc [21] ty,supercarblondie [21] supercarblondie,enricomolinari [21] enricomolinari,#5g [21] #5g,#marketing [20] ty,intengineering [19] intengineering,enricomolinari [17] #ai,#iot [17] remote,control [16] jblefevre60,kalydeoo Top Word Pairs in Tweet in G5:
[26] #marketing,#brand [25] add,storage [25] storage,home [25] home,ceiling [25] ceiling,storage [25] storage,units [25] units,#eshop [25] #eshop,#retailtech [25] #retailtech,#marketing [25] #brand,#fintech Top Word Pairs in Tweet in G6:
[45] days,left [45] left,protect [45] protect,privacy [45] privacy,join [45] join,npc [45] npc,#webinar [45] #webinar,information [45] information,security [45] security,management [45] management,system Top Word Pairs in Tweet in G7:
[14] 古着アップサイクルの,5次流通 [14] 5次流通,が衣服ロス問題を変える [14] が衣服ロス問題を変える,fashiontech [14] fashiontech,projectレポート [5] #fashiontech,#retailtech [4] cnet,japan [4] top,reasons [4] reasons,#sissijohnson [4] #sissijohnson,face [4] face,#fashiontech Top Word Pairs in Tweet in G8:
[15] bacteria,sizing [15] sizing,algorithms [15] algorithms,used [15] used,clothes [15] clothes,co2 [15] co2,calculations [15] calculations,common [15] common,combination [15] combination,represents [11] unconvenvc,bacteria Top Word Pairs in Tweet in G9:
[6] great,piece [6] piece,voguemagazine [6] voguemagazine,virtual [6] virtual,showrooms [6] showrooms,team [6] team,fialondon [6] fialondon,lcflondon [6] lcflondon,brought [5] drinkmatt,great [5] brought,jw_anderson Top Word Pairs in Tweet in G10:
[9] ai,fashion [9] fashion,design [9] design,creativity [9] creativity,wtvox [9] wtvox,#artificialintelligence [9] #artificialintelligence,#fashiontech [8] fashinnovation,ai [2] hollywood,costume [2] costume,designers [2] designers,getting Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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: