The graph represents a network of 820 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, 17 March 2022 at 06:02 UTC.
The requested start date was Thursday, 17 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 10-day, 2-hour, 54-minute period from Sunday, 06 March 2022 at 15:17 UTC to Wednesday, 16 March 2022 at 18:12 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 : 820
Unique Edges : 1066
Edges With Duplicates : 14001
Total Edges : 15067
Number of Edge Types : 5
Retweet : 5749
MentionsInRetweet : 5190
Mentions : 3901
Tweet : 201
Replies to : 26
Self-Loops : 1736
Reciprocated Vertex Pair Ratio : 0.0536207849640685
Reciprocated Edge Ratio : 0.101783840503673
Connected Components : 72
Single-Vertex Connected Components : 34
Maximum Vertices in a Connected Component : 596
Maximum Edges in a Connected Component : 14619
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.184373
Graph Density : 0.0028380833258882
Modularity : 0.100508
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 820 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, 17 March 2022 at 06:02 UTC.
The requested start date was Thursday, 17 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 10-day, 2-hour, 54-minute period from Sunday, 06 March 2022 at 15:17 UTC to Wednesday, 16 March 2022 at 18:12 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:
[6121] #ces2023,#finserv [5900] #women,#ehealth [5721] #cx,#women [5701] #ehealth,#ces2023 [5669] #datascientist,#cloud [4386] chidambara09,#datascientist [3671] #finserv,#fashiontech [3442] #des2022,#linux [3366] #linux,#cx [2568] #cloud,#digital Top Word Pairs in Tweet in G1:
[1006] #ces2023,#finserv [991] chidambara09,#datascientist [951] #datascientist,#cloud [945] #women,#ehealth [927] #ehealth,#ces2023 [924] #cx,#women [537] #finserv,#fashiontech [481] #des2022,#linux [474] #linux,#cx [452] #cloud,#digital Top Word Pairs in Tweet in G2:
[3812] #ces2023,#finserv [3691] #women,#ehealth [3571] #cx,#women [3552] #datascientist,#cloud [3550] #ehealth,#ces2023 [2673] #finserv,#fashiontech [2132] chidambara09,#datascientist [2042] #des2022,#linux [1997] #linux,#cx [1710] #fashiontech,#insurtech Top Word Pairs in Tweet in G3:
[1294] #ces2023,#finserv [1254] #women,#ehealth [1252] chidambara09,#datascientist [1220] #ehealth,#ces2023 [1218] #cx,#women [1162] #datascientist,#cloud [919] #des2022,#linux [895] #linux,#cx [594] #finserv,#fashiontec [536] #cloud,#digital Top Word Pairs in Tweet in G4:
[19] really,need [19] need,#metaverse [19] #metaverse,#fashionweek [19] #fashionweek,karl [19] karl,thomas [19] thomas,smith [19] smith,highsnobiety [19] #vr,#fashiontech [18] #fashion,#retail [18] #retail,#metaverse Top Word Pairs in Tweet in G5:
[8] fashion,tech [8] sibo,app [8] app,#sibocolor [8] #sibocolor,#sibostyle [8] #sibostyle,#stylingtool [8] #stylingtool,#fashionapp [8] #fashionapp,#personalbranding [8] #personalbranding,#fashiontech [7] #fashiontech,#stylistinyourpocket [7] #stylistinyourpocket,#lifestylist Top Word Pairs in Tweet in G6:
[19] #digitalfashion,#fashiontech [14] #digital,#digitalfashion [13] #fashion,#digital [9] fashion,#fashion [9] digital,fashion [7] #meta,#nfts [7] #fashion,#fashiontech [7] #fashiontech,#digital [7] #digital,#blockchain [6] metaverse,#fashion Top Word Pairs in Tweet in G7:
[17] #applewatch,#アップルウォッチ充電器 [17] #アップルウォッチ充電器,#充電器 [17] #充電器,送料無料 [17] 送料無料,180円 [16] roomshirosaba,#applewatch Top Word Pairs in Tweet in G8:
[2] cecilegauffriau,nad_alves [2] nad_alves,pierrecappelli [2] pierrecappelli,hebiflux [2] hebiflux,nincoroby [2] nincoroby,tewoz [2] tewoz,echangeur [2] echangeur,jblefevre60 [2] jblefevre60,guillaume_rio [2] guillaume_rio,akaeserge Top Word Pairs in Tweet in G9:
[17] altava,worlds [10] male,avatars [10] avatars,available [10] available,play [10] play,altava [9] worlds,altava_official [9] altava_official,play [5] altavagroup,male [5] play,# [4] worlds,play Top Word Pairs in Tweet in G10:
[8] african,fashion [8] fashion,going [8] going,places [8] places,tell [8] tell,nah [8] nah,scratch [8] scratch,don [8] don,tell [7] august12th_,african [4] august12th_,#fashiontech Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G8:
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: