The graph represents a network of 571 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 Saturday, 08 May 2021 at 05:34 UTC.
The requested start date was Thursday, 06 May 2021 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, 32-minute period from Thursday, 22 April 2021 at 00:06 UTC to Wednesday, 05 May 2021 at 23:39 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 : 571
Unique Edges : 624
Edges With Duplicates : 1377
Total Edges : 2001
Number of Edge Types : 5
Retweet : 454
MentionsInRetweet : 881
Mentions : 427
Replies to : 7
Tweet : 232
Self-Loops : 255
Reciprocated Vertex Pair Ratio : 0.0348837209302326
Reciprocated Edge Ratio : 0.0674157303370786
Connected Components : 88
Single-Vertex Connected Components : 48
Maximum Vertices in a Connected Component : 390
Maximum Edges in a Connected Component : 1657
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.808321
Graph Density : 0.00300795772267797
Modularity : 0.418341
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 571 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 Saturday, 08 May 2021 at 05:34 UTC.
The requested start date was Thursday, 06 May 2021 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, 32-minute period from Thursday, 22 April 2021 at 00:06 UTC to Wednesday, 05 May 2021 at 23:39 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:
[123] #cloudcomputing,#futureofwork [114] #datascientist,#datascience [111] #futureofwork,#bigdata [108] #datascience,#cloudcomputing [98] #ai,#datascientist [56] #bigdata,#machinelearning [48] #machinelearning,#iiot [44] #iiot,#rstats [36] brain,back [36] back,back Top Word Pairs in Tweet in G1:
[26] enricomolinari,#traveltech [24] statistacharts,enricomolinari [22] enricomolinari,#fashiontech [22] travel,tourism's [22] tourism's,contribution [22] contribution,share [22] share,national [22] national,#gdp [22] #gdp,statistacharts [21] #fashiontech,#traveltech Top Word Pairs in Tweet in G2:
[111] #cloudcomputing,#futureofwork [104] #datascientist,#datascience [100] #futureofwork,#bigdata [98] #datascience,#cloudcomputing [90] #ai,#datascientist [50] #bigdata,#machinelearning [42] #machinelearning,#iiot [40] #iiot,#rstats [34] brain,back [34] back,back Top Word Pairs in Tweet in G3:
[11] fashion,tech [7] graphic,shirt [6] shirt,#hunting [6] #hunting,#huntingtonbeach [6] fashiontech,unternehmen [6] unternehmen,befeni [6] befeni,greift [6] greift,fast [6] fast,fashion [6] fashion,industrie Top Word Pairs in Tweet in G4:
[17] learn,more [9] more,#scopemedia [8] more,#simile [7] check,definenetworkeu [7] definenetworkeu,connecting [7] connecting,#fashiontech [7] #fashiontech,community [7] community,#startup [7] #startup,#accelerator [7] #accelerator,academia Top Word Pairs in Tweet in G5:
[9] ℹ,cas [9] cas,où [9] où,auriez [9] auriez,manquées [9] manquées,news [9] news,semaine [9] semaine,c'est [9] c'est,tous [9] tous,mercredis [9] mercredis,10h00 Top Word Pairs in Tweet in G6:
[14] #fashiontech,join [14] join,aninanet [14] aninanet,amanda_cosco [14] amanda_cosco,littleredfashco [14] littleredfashco,larrynamer1 [14] larrynamer1,cringely [13] cringely,phd_justin [12] need,#fashiontech [8] phd_justin,giusycannone [8] giusycannone,robotlaunch Top Word Pairs in Tweet in G7:
[9] time,100 [9] 100,influential [9] influential,companies [9] companies,2021 [9] 2021,time [9] time,twitter [9] twitter,roblox [9] roblox,nike [9] nike,lego_group [9] lego_group,apple Top Word Pairs in Tweet in G8:
[6] #wearabletech,#fashiontech [6] #fashiontech,#healthtech [6] #healthtech,#femtech [6] #femtech,#iot [6] next,wow [6] wow,members' [6] members',monthly [6] monthly,gathering [6] gathering,taking [6] taking,place Top Word Pairs in Tweet in G9:
[6] #fashion,#fashiontech [6] #lookyloo,#lucyai [5] #lucyai,#empoweringwomen [5] #empoweringwomen,#everyshapesizeshadestyle [3] split,hem [3] hem,pants [3] #everyshapesizeshadestyle,#fashion [3] #fashiontech,#lifestyle [2] found,pieces [2] pieces,inspired Top Word Pairs in Tweet in G10:
[8] enricomolinari,#ff [8] #ff,sinc [8] sinc,weekend [8] weekend,#fashiontech [8] #fashiontech,paula_piccard [8] paula_piccard,fabriziobustama [8] fabriziobustama,mikequindazzi [8] mikequindazzi,haroldsinnott [8] haroldsinnott,glengilmore [2] enricomolinari,#traveltech Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G8:
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 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: