The graph represents a network of 752 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, 31 March 2022 at 05:40 UTC.
The requested start date was Thursday, 31 March 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 13-day, 17-hour, 30-minute period from Thursday, 17 March 2022 at 00:28 UTC to Wednesday, 30 March 2022 at 17:59 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 : 752
Unique Edges : 1137
Edges With Duplicates : 6651
Total Edges : 7788
Number of Edge Types : 5
Retweet : 2468
MentionsInRetweet : 3150
Mentions : 1840
Tweet : 296
Replies to : 34
Self-Loops : 862
Reciprocated Vertex Pair Ratio : 0.0743944636678201
Reciprocated Edge Ratio : 0.138486312399356
Connected Components : 86
Single-Vertex Connected Components : 42
Maximum Vertices in a Connected Component : 507
Maximum Edges in a Connected Component : 7278
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.857454
Graph Density : 0.00329879309856362
Modularity : 0.174499
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 752 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, 31 March 2022 at 05:40 UTC.
The requested start date was Thursday, 31 March 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 13-day, 17-hour, 30-minute period from Thursday, 17 March 2022 at 00:28 UTC to Wednesday, 30 March 2022 at 17:59 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:
[1827] #women,#ehealth [1803] #ces2023,#finserv [1795] #cx,#women [1774] #ehealth,#ces2023 [1654] #datascientist,#cloud [1582] #finserv,#fashiontech [1167] chidambara09,#datascientist [719] #quantum,#des2022 [715] #ai,#cx [706] #des2022,#ai Top Word Pairs in Tweet in G1:
[1732] #women,#ehealth [1712] #ces2023,#finserv [1700] #cx,#women [1689] #ehealth,#ces2023 [1566] #datascientist,#cloud [1483] #finserv,#fashiontech [1090] chidambara09,#datascientist [707] #quantum,#des2022 [699] #ai,#cx [692] #des2022,#ai Top Word Pairs in Tweet in G2:
[51] #finserv,#fashiontech [45] #datascientist,#cloud [45] #cx,#women [45] #women,#ehealth [45] #ehealth,#ces2023 [44] #ces2023,#finserv [38] chidambara09,#datascientist [25] fashion,week [25] #metaverse,#fashiontech [25] #mwc22,#cx Top Word Pairs in Tweet in G3:
[30] future,color [30] color,changing [30] changing,cars [30] cars,mytypolife [30] mytypolife,#ar [30] #ar,#fashiontech [30] #fashiontech,frronconi [30] frronconi,terenceleungsf [30] terenceleungsf,labordeolivier [28] anand_narang,future Top Word Pairs in Tweet in G4:
[25] fashion,tech [17] apple,watch [15] 前回,圏外 [14] #sibocolor,#sibostyle [14] #sibostyle,#stylingtool [14] #stylingtool,#fashionapp [13] sibo,app [13] app,#sibocolor [13] #fashionapp,#personalbranding [12] #personalbranding,#fashiontech Top Word Pairs in Tweet in G5:
[13] maghanmcd,#mvfw [12] #digitalfashion,#fashiontech [10] #fashiontech,#vr [9] fashion,week [9] week,#digital [9] #mvfw,#digitalfashion [9] #vr,#3d [8] #luxury,#fashion [8] #fashion,brand [8] brand,guerlain Top Word Pairs in Tweet in G6:
[33] ポイント10倍,28 [33] 28,01 [33] 01,59 [33] 59,送料無料 [33] 送料無料,あったら便利 [33] あったら便利,type [33] type,color [33] color,売切れもあり [33] 売切れもあり,ハンドソープディスペンサー [33] ハンドソープディスペンサー,450ml Top Word Pairs in Tweet in G7:
[39] fashion,industry [34] #digitalfashion,#fashiontech [23] fashion,week [20] need,#fashiontech [20] #fashiontech,#digitaltransformation [20] #digitaltransformation,happening [20] happening,fashion [19] metaverse,fashion [19] #nfts,#nft [14] inequalities,fashion Top Word Pairs in Tweet in G8:
[6] awesome,#3d [6] #3d,#animation [6] #animation,manupuchau [6] manupuchau,irene [6] irene,gaume [6] gaume,daniel [6] daniel,márquez [6] márquez,díaz [6] díaz,more [6] more,artstationhq Top Word Pairs in Tweet in G9:
[9] one,issues [9] issues,talktailor [9] talktailor,looking [9] looking,resolving [9] resolving,retweet [9] retweet,see [9] see,#fashiontech [9] #fashiontech,#sneakonnative [8] august12th_,one [8] #sneakonnative,htt Top Word Pairs in Tweet in G10:
[9] #fashiontech,#fashiontechnology [8] supply,chain [5] chain,transparency [5] transparency,opportunity [5] opportunity,threat [5] threat,#fashiontech [5] #wfx,#wfxplm [5] #wfxplm,#fashiontech [4] university,manchester [4] theinterline,supply 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 G5:
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:
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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: