The graph represents a network of 655 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 September 2020 at 05:35 UTC.
The requested start date was Thursday, 17 September 2020 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, 23-hour, 53-minute period from Thursday, 03 September 2020 at 00:07 UTC to Thursday, 17 September 2020 at 00:00 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 : 655
Unique Edges : 852
Edges With Duplicates : 1684
Total Edges : 2536
Number of Edge Types : 5
Mentions : 382
Tweet : 247
Retweet : 623
MentionsInRetweet : 1279
Replies to : 5
Self-Loops : 268
Reciprocated Vertex Pair Ratio : 0.0292207792207792
Reciprocated Edge Ratio : 0.056782334384858
Connected Components : 88
Single-Vertex Connected Components : 37
Maximum Vertices in a Connected Component : 437
Maximum Edges in a Connected Component : 2177
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.914131
Graph Density : 0.00296005789387679
Modularity : 0.354977
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 655 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 September 2020 at 05:35 UTC.
The requested start date was Thursday, 17 September 2020 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, 23-hour, 53-minute period from Thursday, 03 September 2020 at 00:07 UTC to Thursday, 17 September 2020 at 00:00 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:
[107] #ai,#iot [99] #fashiontech,#retailtech [85] nanochip,generates [85] generates,body [85] body,cells [85] cells,heal [85] heal,body [85] body,parts [85] enricomolinari,#nanotechnology [80] parts,adamdanyal Top Word Pairs in Tweet in G1:
[65] nanochip,generates [65] generates,body [65] body,cells [65] cells,heal [65] heal,body [65] body,parts [65] enricomolinari,#nanotechnology [61] parts,adamdanyal [61] adamdanyal,enricomolinari [60] enricomolinari,nanochip Top Word Pairs in Tweet in G2:
[58] #ai,#iot [31] mashable,cc [29] enricomolinari,google [29] google,inventing [29] inventing,thousands [29] thousands,sounds [29] sounds,mashable [29] cc,spirosmargaris [29] spirosmargaris,haroldsinnott [29] haroldsinnott,labordeolivier Top Word Pairs in Tweet in G3:
[75] #fashiontech,#retailtech [53] #retailtech,#wearables [53] #wearables,#360fashion [53] #360fashion,read [45] read,aninanet [29] #wearables,#iot [27] #ledribbon,#dyi [27] #dyi,#tutorial [27] #tutorial,#steam [27] #steam,#stem Top Word Pairs in Tweet in G4:
[20] enricomolinari,#drones [20] #drones,plant [20] plant,100 [20] 100,000 [20] 000,trees [20] trees,day [20] ty,wef [19] day,ty [19] wef,cc [19] cc,shicooks Top Word Pairs in Tweet in G5:
[14] live,cutecircuit [13] virtual,fashion [10] fashion,shows [9] week,episode [9] episode,21 [9] 21,live [9] cutecircuit,talk [9] talk,artificial [9] artificial,intelligence [9] intelligence,applied Top Word Pairs in Tweet in G6:
[5] top,reasons [5] reasons,#sissijohnson [5] #sissijohnson,face [5] face,#fashiontech [5] #fashiontech,#pr [5] #pr,#socialmedia [5] #socialmedia,#advertising [5] #advertising,#branding [3] pangolin,scales [3] scales,bci Top Word Pairs in Tweet in G7:
[39] #bigdata,#analytics [38] #analytics,#datascience [23] #ai,industry [23] industry,glance [23] glance,#selfdrivingcars [23] #selfdrivingcars,#fashiontech [23] #fashiontech,#machinelearning [23] #machinelearning,#dataanalytics [23] #dataanalytics,#bigdata [22] pinakilaskar,#ai Top Word Pairs in Tweet in G8:
[2] angelalorna,kenyanmusik [2] kenyanmusik,kenfashionaward [2] kenfashionaward,coutureafrica [2] coutureafrica,papafavour [2] papafavour,stellamarismega [2] stellamarismega,zenmagafrica [2] zenmagafrica,fashionweek Top Word Pairs in Tweet in G9:
[10] #fashiontech,#wearables [10] #wearables,#iot [10] #iot,#ai [10] #ai,#fintech [10] #fintech,#machinelearning [10] #machinelearning,#retail [10] #retail,#tech [9] future,#fashion [9] #fashion,robe [9] robe,#style Top Word Pairs in Tweet in G10:
[7] #lookyloo,#lucyai [6] #lucyai,#fashion [6] #fashion,#fashiontech [5] #fashiontech,#lifestyle [2] skinny,jeans [2] link,below [2] #fashiontech,#fashioninspo [2] love,pair [2] feel,beautiful [2] beautiful,skin Top Replied-To in Entire Graph:
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 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: