The graph represents a network of 696 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, 13 October 2022 at 05:42 UTC.
The requested start date was Thursday, 13 October 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, 22-hour, 14-minute period from Thursday, 29 September 2022 at 00:34 UTC to Wednesday, 12 October 2022 at 22:49 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 : 696
Unique Edges : 660
Edges With Duplicates : 9063
Total Edges : 9723
Number of Edge Types : 5
Tweet : 351
Mentions : 3490
Retweet : 3504
MentionsInRetweet : 2347
Replies to : 31
Self-Loops : 1997
Reciprocated Vertex Pair Ratio : 0.075503355704698
Reciprocated Edge Ratio : 0.140405616224649
Connected Components : 104
Single-Vertex Connected Components : 62
Maximum Vertices in a Connected Component : 490
Maximum Edges in a Connected Component : 9365
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.228756
Graph Density : 0.00265029355825684
Modularity : 0.105954
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 696 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, 13 October 2022 at 05:42 UTC.
The requested start date was Thursday, 13 October 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, 22-hour, 14-minute period from Thursday, 29 September 2022 at 00:34 UTC to Wednesday, 12 October 2022 at 22:49 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:
[3832] #datascientist,#csuite [3829] #csuite,#digitalhealth [3829] #cx,#ehealth [3827] #ehealth,#finserv [3825] #healthtech,#datascientist [3768] #finserv,#cloud [2959] #digitalhealth,#web3 [2959] #web3,#cx [2509] #cloud,#insurtech [1776] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[3451] #datascientist,#csuite [3450] #ehealth,#finserv [3448] #csuite,#digitalhealth [3448] #cx,#ehealth [3444] #healthtech,#datascientist [3393] #finserv,#cloud [2702] #web3,#cx [2702] #digitalhealth,#web3 [2380] #cloud,#insurtech [1523] chidambara09,#healthtech Top Word Pairs in Tweet in G2:
[319] #healthtech,#datascientist [319] #cx,#ehealth [319] #csuite,#digitalhealth [319] #datascientist,#csuite [318] #ehealth,#finserv [316] #finserv,#cloud [211] #digitalhealth,#web3 [211] #web3,#cx [208] chidambara09,#healthtech [121] #cloud,#insurtechâ Top Word Pairs in Tweet in G3:
[61] #women,#usa [60] #healthtech,#datascientist [60] #csuite,#digitalhealth [60] #cx,#ehealth [60] #datascientist,#csuite [57] #finserv,#cloud [57] #ehealth,#finserv [46] #web3,#cx [46] #digitalhealth,#web3 [45] chidambara09,#healthtech Top Word Pairs in Tweet in G4:
[96] ãƒ,ム[24] fashion,tech [16] apple,watch [15] ãƒ,ペム[15] ペãƒ,µãƒ [11] ハンドソープ,ディスペンサー [10] ªå,æ [10] 自動,泡 [10] šã,ƒã [7] æ,ç Top Word Pairs in Tweet in G5:
[19] business,strategist [19] stoked,lakoz_ [19] chief,strategy [19] officer,business [19] joining,team [19] strategist,lakoz [19] lakoz_,joining [19] strategy,officer [19] lakoz,take [19] team,chief Top Word Pairs in Tweet in G6:
[6] fashion,world [5] world,classy [5] remember,right [5] classy,class [5] right,side [5] side,fashion [4] class,wa [4] styles,#fashiontech [4] vincentscooter,remember [3] community,fashion Top Word Pairs in Tweet in G7:
[6] release,yourself [6] share,digital [6] sharing,caring [6] inventiveness,release [6] explore,endless [6] picks,threadâ [6] yourself,manifest [6] caring,share [6] whipped,check [6] fashion,projects Top Word Pairs in Tweet in G8:
[5] unveiled,paris [5] unitedtalent,thefabricant [5] #ces,unveiled [5] luxury,#fashiontech [5] paris,heard [5] latest,luxury [5] heard,latest [5] #fashiontech,leaders [5] leaders,unitedtalent [4] thefabricant,condenas Top Word Pairs in Tweet in G9:
[3] categories,funding [3] round,vc [3] funding,community [3] novel,tech [3] product,categories [3] vc,led [3] community,round [3] led,priced [3] place,novel [3] startup,product Top Word Pairs in Tweet in G10:
[3] lcflondon,named [3] 2022,london [3] drinkmatt,head [3] trailblazer,drapers [3] speakers,drinkmatt [3] agency,lcflondon [3] london,speakers [3] named,#fashiontech [3] innovation,agency [3] head,innovation Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G6:
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: