The graph represents a network of 662 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, 18 November 2021 at 06:37 UTC.
The requested start date was Thursday, 18 November 2021 at 01:01 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, 13-hour, 18-minute period from Thursday, 04 November 2021 at 05:24 UTC to Wednesday, 17 November 2021 at 18:42 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 : 662
Unique Edges : 1092
Edges With Duplicates : 3970
Total Edges : 5062
Number of Edge Types : 5
Retweet : 1492
MentionsInRetweet : 2666
Mentions : 658
Tweet : 218
Replies to : 28
Self-Loops : 365
Reciprocated Vertex Pair Ratio : 0.0411042944785276
Reciprocated Edge Ratio : 0.0789628756629346
Connected Components : 89
Single-Vertex Connected Components : 48
Maximum Vertices in a Connected Component : 462
Maximum Edges in a Connected Component : 4677
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.058596
Graph Density : 0.00387813027044074
Modularity : 0.247987
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 662 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, 18 November 2021 at 06:37 UTC.
The requested start date was Thursday, 18 November 2021 at 01:01 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, 13-hour, 18-minute period from Thursday, 04 November 2021 at 05:24 UTC to Wednesday, 17 November 2021 at 18:42 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:
[671] #usa,#tech [480] #datascience,#finserv [438] #digital,#usa [434] #ehealth,#datascience [363] #cloud,#ehealth [346] #tech,#cloud [343] #women,#usa [342] #fashion,enilev [322] #digital,#women [315] #fashiontech,#ehealth Top Word Pairs in Tweet in G1:
[638] #usa,#tech [451] #datascience,#finserv [409] #digital,#usa [408] #ehealth,#datascience [337] #cloud,#ehealth [336] #women,#usa [335] #fashion,enilev [321] #tech,#cloud [313] #digital,#women [308] #fashiontech,#ehealth Top Word Pairs in Tweet in G2:
[33] #usa,#tech [29] #digital,#usa [29] #datascience,#finserv [26] #cloud,#ehealth [26] #ehealth,#datascience [25] #tech,#cloud [22] #finserv,#bigdata [19] #fintech,#finserv [19] live,stream [17] pinterest,announces Top Word Pairs in Tweet in G3:
[39] frronconi,dahl_consult [38] dahl_consult,smaksked [26] keep,warm [26] warm,self [26] self,heating [26] heating,jacket [26] jacket,#electric [26] #electric,#fashiontech [26] #fashiontech,#retail [26] #retail,#retailtech Top Word Pairs in Tweet in G4:
[34] fashion,tech [27] apple,watch [24] 前回,圏外 [16] #sibocolor,#sibostyle [16] #sibostyle,#stylingtool [16] #stylingtool,#fashionapp [16] #fashionapp,#sustainablefashion [16] #sustainablefashion,#personalbranding [15] #personalbranding,#leadershipstyle [15] #leadershipstyle,#fashiontech Top Word Pairs in Tweet in G5:
[18] #fashion,brands [18] brands,enter [18] enter,#web3 [18] #web3,#metaverse [18] #metaverse,worlds [18] worlds,raolokesh_tn [18] raolokesh_tn,nasdaq [18] nasdaq,#fashiontech [17] bimedotcom,#fashion [5] future,fashion Top Word Pairs in Tweet in G6:
[13] need,#fashiontech [13] #fashiontech,#digitaltransformation [13] #digitaltransformation,happening [13] happening,fashion [13] fashion,indistry [13] indistry,#futireproof [13] #futireproof,brand [13] brand,answers [13] answers,#digitalfashion [13] #digitalfashion,more Top Word Pairs in Tweet in G7:
[8] december,13th [8] 13th,#digitalfashion [8] #digitalfashion,day [8] day,realtime_conf [8] realtime_conf,stellar [8] stellar,lineup [8] lineup,speakers [8] speakers,including [8] including,voguebusiness [8] voguebusiness,dematerialised Top Word Pairs in Tweet in G8:
[7] fashion,industry [7] projects,soon [5] soon,spin [5] spin,campus [5] campus,companies [4] data,address [4] address,fashion [4] industry,tech [4] tech,problems [4] problems,featuring Top Word Pairs in Tweet in G9:
[8] jdsportsfashion,thesolesupplier [8] thesolesupplier,bignarstie [8] bignarstie,step [8] step,jdsports [8] jdsports,store [8] store,#vr [8] #vr,jdsportsie [7] locationviewing,jdsportsfashion [7] jdsportsie,# Top Word Pairs in Tweet in G10:
[7] eugénie,benhamou [7] benhamou,factonics [5] boudoirnum,eugénie [4] factonics,augmented [4] augmented,reality [4] reality,artistic [4] artistic,canvas [4] canvas,luxury [4] luxury,brands [3] factonics,réalité Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G6:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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: