The graph represents a network of 818 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, 18 August 2022 at 05:34 UTC.
The requested start date was Thursday, 18 August 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, 20-hour, 52-minute period from Thursday, 04 August 2022 at 01:56 UTC to Wednesday, 17 August 2022 at 22:48 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 : 818
Unique Edges : 757
Edges With Duplicates : 10424
Total Edges : 11181
Number of Edge Types : 5
MentionsInRetweet : 3919
Mentions : 2357
Retweet : 4401
Tweet : 483
Replies to : 21
Self-Loops : 1659
Reciprocated Vertex Pair Ratio : 0.0413030831878999
Reciprocated Edge Ratio : 0.0793296089385475
Connected Components : 82
Single-Vertex Connected Components : 44
Maximum Vertices in a Connected Component : 618
Maximum Edges in a Connected Component : 10806
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.278118
Graph Density : 0.00267841378051372
Modularity : 0.126067
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 818 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, 18 August 2022 at 05:34 UTC.
The requested start date was Thursday, 18 August 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, 20-hour, 52-minute period from Thursday, 04 August 2022 at 01:56 UTC to Wednesday, 17 August 2022 at 22:48 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:
[3079] #healthtech,#datascientist [3068] #ehealth,#finserv [3021] #datascientist,#csuite [3021] #csuite,#digitalhealth [3018] #finserv,#cloud [3016] #cx,#ehealth [3014] #digitalhealth,#web3 [3012] #web3,#cx [2603] #cloud,#insurtech [1948] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[1149] #ai,#ml [1139] #datascience,#bigdata [1117] #ml,#iot [1108] #iot,#datascience [1072] #bigdata,#analytics [1016] #analytics,#serverless [947] #serverless,#linux [668] #linux,#rstats [375] #rstats,#programming [305] #programming,#coding Top Word Pairs in Tweet in G2:
[368] #healthtech,#datascientist [368] #datascientist,#csuite [368] #csuite,#digitalhealth [368] #digitalhealth,#web3 [368] #web3,#cx [368] #cx,#ehealth [368] #ehealth,#finserv [363] #finserv,#cloud [361] chidambara09,#healthtech [291] #cloud,#insurtech Top Word Pairs in Tweet in G3:
[2619] #healthtech,#datascientist [2609] #ehealth,#finserv [2567] #finserv,#cloud [2565] #datascientist,#csuite [2565] #csuite,#digitalhealth [2560] #cx,#ehealth [2558] #digitalhealth,#web3 [2556] #web3,#cx [2235] #cloud,#insurtech [1496] chidambara09,#healthtech Top Word Pairs in Tweet in G4:
[15] chidambara09,#healthtech [15] #healthtech,#datascientist [15] #datascientist,#csuite [15] #csuite,#digitalhealth [15] #digitalhealth,#web3 [15] #web3,#cx [15] #cx,#ehealth [15] #ehealth,#finserv [15] #finserv,#cloud [15] #cloud,#insurtech Top Word Pairs in Tweet in G5:
[24] apple,watch [22] ハンドソープ,ディスペンサー [21] 自動,泡 [19] fashion,tech [17] watch,充電器 [14] 楽天,#rakuafl [12] 前回,圏外 [11] ディスペンサー,自動 [11] おしゃれ泡,ハンドソープ [11] ディスペンサー,おしゃれ Top Word Pairs in Tweet in G6:
[14] #fashion,#web3fashion [13] roaring,tiger [11] #web3fashion,#fashiontech [11] 1st,mint [10] countdown,ticking [10] ticking,still [10] still,until [10] until,sept [10] sept,1st [10] mint,clubhouse Top Word Pairs in Tweet in G7:
[15] talktailor,believe [15] believe,design [15] design,know [15] know,note [15] note,looking [14] talktailor,talktailor [14] looking,corroborating [8] styles,#fashiontech [7] world,rely [7] rely,khalidahalu Top Word Pairs in Tweet in G8:
[14] #hermès,metabirkins [14] metabirkins,lawsuit [14] lawsuit,high [14] high,stakes [14] stakes,#brands [14] #brands,#creators [14] #creators,bof [14] bof,#ai [13] bimedotcom,#hermès [4] chidambara09,#healthtech Top Word Pairs in Tweet in G9:
[26] #ai,#ml [26] #ml,#iot [26] #iot,#datascience [26] #datascience,#bigdata [23] #bigdata,#analytics [23] #analytics,#serverless [20] #serverless,#linux [12] #linux,#rstats [7] #women,#usa [6] founder,aedge0420 Top Word Pairs in Tweet in G10:
[14] #nfts,#nftfashion [12] #digitalfashion,#fashiontech [10] #metaverse,#metaversefashion [9] #nftfashion,#digitalfashion [9] #fashion,#metaverse [8] metaverse,fashion [7] digital,fashion [7] #fashion,#digitalfashion [6] benefits,nfts [6] nfts,bring Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G7:
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: