The graph represents a network of 1,004 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 Friday, 28 February 2020 at 08:17 UTC.
The requested start date was Friday, 28 February 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 20-hour, 17-minute period from Friday, 14 February 2020 at 03:04 UTC to Thursday, 27 February 2020 at 23:21 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 : 1004
Unique Edges : 1503
Edges With Duplicates : 913
Total Edges : 2416
Number of Edge Types : 4
MentionsInRetweet : 1678
Tweet : 357
Mentions : 369
Replies to : 12
Self-Loops : 357
Reciprocated Vertex Pair Ratio : 0.0395408163265306
Reciprocated Edge Ratio : 0.0760736196319018
Connected Components : 115
Single-Vertex Connected Components : 50
Maximum Vertices in a Connected Component : 697
Maximum Edges in a Connected Component : 1925
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.358129
Graph Density : 0.00161865002601756
Modularity : 0.53435
NodeXL Version : 1.0.1.425
Data Import : The graph represents a network of 1,004 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 Friday, 28 February 2020 at 08:17 UTC.
The requested start date was Friday, 28 February 2020 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 20-hour, 17-minute period from Friday, 14 February 2020 at 03:04 UTC to Thursday, 27 February 2020 at 23:21 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:
[172] #smartcities,#safety [156] geniusclub,enricomolinari [156] enricomolinari,#smartcities [156] #safety,#esport [153] hovding,created [153] created,airbag [153] airbag,urban [153] urban,cyclists [153] cyclists,ty [153] ty,geniusclub Top Word Pairs in Tweet in G1:
[150] geniusclub,enricomolinari [150] enricomolinari,#smartcities [150] #smartcities,#safety [150] #safety,#esport [147] hovding,created [147] created,airbag [147] airbag,urban [147] urban,cyclists [147] cyclists,ty [147] ty,geniusclub Top Word Pairs in Tweet in G2:
[46] icolgroup,#elsecorp [41] #elsecorp,#virtualretail [29] #virtualretail,#fashiontech [28] fashion,supply [28] supply,chain [24] fashnerd,suuchi [24] #fashiontech,#startup [20] chain,fashnerdeditor [20] #startup,#innovation [19] simac,icolgroup Top Word Pairs in Tweet in G3:
[28] #ledribbon,#dyi [28] #dyi,#tutorial [28] #tutorial,#steam [28] #steam,#stem [28] #stem,rosesoma88 [28] rosesoma88,#fashiontech [16] #fashiontech,queenofraw [16] #fashiontech,#futureoffashion [16] #wearables,#iot [14] love,#fashiontech Top Word Pairs in Tweet in G4:
[7] newest,#fashiontech [7] #fashiontech,product [5] #fashion,#lifestyle [5] #lifestyle,#pocketsylist [5] #pocketsylist,#style [5] #style,#blogger [5] #blogger,#fashioninfluencer [5] #fashioninfluencer,#shopping [5] #shopping,#officewear [5] #officewear,#casualwear Top Word Pairs in Tweet in G5:
[13] #healthtech,#femtech [13] #iot,#vr [13] #vr,#ar [12] #fashion,#blockchain [12] #blockchain,critical [12] critical,future [12] future,fashion [12] fashion,#fashiontech [12] #fashiontech,lefashiontech [12] lefashiontech,wtvox Top Word Pairs in Tweet in G6:
[14] dbdiarrabousso,released [12] released,thediarrablu [12] thediarrablu,spring [12] spring,summer [12] summer,2020 [12] 2020,collection [12] collection,exploring [12] exploring,ecosystem [12] ecosystem,seashells [12] seashells,joal Top Word Pairs in Tweet in G7:
[8] excited,tla_retailtech [8] tla_retailtech,ibm [8] ibm,event [8] event,tonight [8] tonight,hear [8] hear,evolution [8] evolution,store [8] store,technology [8] technology,come [7] saveyrwardrobe,excited Top Word Pairs in Tweet in G8:
[18] #smartcities,#safety [16] hovding,creado [16] creado,bolsa [16] bolsa,aire [16] aire,ciclistas [16] ciclistas,#smartcities [16] #safety,#innovation [16] #innovation,#fashiontech [15] allizesalgado,hovding [2] enricomolinari,hovding Top Word Pairs in Tweet in G9:
[10] ready,miami [10] miami,fashion [10] fashion,tech [10] tech,companies [10] companies,stage [10] stage,inspiring [10] inspiring,conversation [10] conversation,#miami [10] #miami,#startups [9] third,#fab Top Word Pairs in Tweet in G10:
[6] #fashion,#technology [5] go,until [5] until,launch [5] launch,event [5] #theinterline,#fashion [5] body,measurements [5] #customize,#bespoke [5] #bespoke,#artificialintelligence [5] #artificialintelligence,#madetomeasure [5] #madetomeasure,#sizeinclusivity Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: