The graph represents a network of 946 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, 02 June 2022 at 05:40 UTC.
The requested start date was Thursday, 02 June 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, 5-hour, 14-minute period from Thursday, 19 May 2022 at 13:45 UTC to Wednesday, 01 June 2022 at 19:00 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 : 946
Unique Edges : 1179
Edges With Duplicates : 13417
Total Edges : 14596
Number of Edge Types : 5
Retweet : 5674
MentionsInRetweet : 5323
Mentions : 3186
Tweet : 383
Replies to : 30
Self-Loops : 1896
Reciprocated Vertex Pair Ratio : 0.03998096144693
Reciprocated Edge Ratio : 0.0768878718535469
Connected Components : 84
Single-Vertex Connected Components : 48
Maximum Vertices in a Connected Component : 719
Maximum Edges in a Connected Component : 14043
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.194271
Graph Density : 0.0024441536069443
Modularity : 0.119516
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 946 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, 02 June 2022 at 05:40 UTC.
The requested start date was Thursday, 02 June 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, 5-hour, 14-minute period from Thursday, 19 May 2022 at 13:45 UTC to Wednesday, 01 June 2022 at 19:00 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:
[4437] #datascientist,#mwc22 [4429] #cx,#women [4381] #women,#ehealth [4366] #mwc22,#ai [4298] #ehealth,#ces2023 [3168] #digitalhealth,#datascientist [3103] #ai,#healthtech [2801] #iiot,#cx [2800] #healthtech,#ml [2777] #ml,#iiot Top Word Pairs in Tweet in G1:
[4088] #datascientist,#mwc22 [4080] #cx,#women [4034] #women,#ehealth [4021] #mwc22,#ai [3954] #ehealth,#ces2023 [2905] #digitalhealth,#datascientist [2844] #ai,#healthtech [2557] #iiot,#cx [2555] #healthtech,#ml [2533] #ml,#iiot Top Word Pairs in Tweet in G2:
[320] #datascientist,#mwc22 [320] #cx,#women [318] #women,#ehealth [317] #mwc22,#ai [317] #ehealth,#ces2023 [242] #digitalhealth,#datascientist [238] #ai,#healthtech [237] #ces2023,#fin [224] #healthtech,#ml [223] chidambara09,#digitalhealth Top Word Pairs in Tweet in G3:
[28] #datascientist,#mwc22 [28] #cx,#women [28] #women,#ehealth [27] #ehealth,#ces2023 [27] #mwc22,#ai [22] #ces2023,#fin [21] chidambara09,#digitalhealth [21] #digitalhealth,#datascientist [21] #ai,#healthtech [21] #healthtech,#ml Top Word Pairs in Tweet in G4:
[59] ventures,#fashiontech [58] future,fashion [56] moon,rabbit [56] rabbit,ventures [55] fashion,moon [55] #fashiontech,full [55] full,speed [55] speed,stellar [55] stellar,duo [55] duo,glitchedninja2 Top Word Pairs in Tweet in G5:
[31] apple,watch [23] watch,充電器 [22] fashion,tech [17] 前回,圏外 [16] 充電器,apple [15] アップルウォッチ,充電器 [13] 充電器,applewatch [12] #sibocolor,#sibostyle [12] #sibostyle,#stylingtool [12] #stylingtool,#fashionapp Top Word Pairs in Tweet in G6:
[18] styles,#fashiontech [11] world,rely [8] world,relies [5] thinking,one [5] one,digitizes [5] digitizes,fashion [5] fashion,mean [5] mean,wear [5] wear,clothes [5] clothes,same Top Word Pairs in Tweet in G7:
[18] fashion,industry [17] need,#fashiontech [17] #fashiontech,#digitaltransformation [17] #digitaltransformation,happening [17] happening,fashion [13] industry,answer [13] answer,#digitalfashion [13] #digitalfashion,#web3 [13] #web3,#fashionnft [13] #fashionnft,#smartgarments Top Word Pairs in Tweet in G8:
[7] future,retail [6] woes,finding [6] finding,size [6] size,solved [6] solved,demand [6] demand,model [6] model,full [6] full,story [5] boldmetrics,woes [5] story,excellent Top Word Pairs in Tweet in G9:
[7] whub_io,'s [6] 25,eth [5] 's,sis22 [5] #mint,live [5] live,eve [5] eve,glasses [5] glasses,collection [5] collection,#dropped [5] #dropped,0nly [5] 0nly,10 Top Word Pairs in Tweet in G10:
[20] cappasity,nfts [10] year,cappasity [10] cappasity,platform [10] platform,allow [10] allow,brands [10] brands,create [10] create,cappasity [10] nfts,see [10] see,cappasity [10] nfts,truly Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G3:
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Top Replied-To in G6:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: