The graph represents a network of 679 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 January 2022 at 06:52 UTC.
The requested start date was Thursday, 13 January 2022 at 01:01 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 6-day, 8-hour, 43-minute period from Thursday, 06 January 2022 at 09:53 UTC to Wednesday, 12 January 2022 at 18:36 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 : 679
Unique Edges : 1003
Edges With Duplicates : 15597
Total Edges : 16600
Number of Edge Types : 5
Retweet : 6363
MentionsInRetweet : 6789
Tweet : 254
Mentions : 3178
Replies to : 16
Self-Loops : 1156
Reciprocated Vertex Pair Ratio : 0.0465116279069767
Reciprocated Edge Ratio : 0.0888888888888889
Connected Components : 69
Single-Vertex Connected Components : 42
Maximum Vertices in a Connected Component : 555
Maximum Edges in a Connected Component : 16387
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.831643
Graph Density : 0.00410546482985129
Modularity : 0.078708
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 679 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 January 2022 at 06:52 UTC.
The requested start date was Thursday, 13 January 2022 at 01:01 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 6-day, 8-hour, 43-minute period from Thursday, 06 January 2022 at 09:53 UTC to Wednesday, 12 January 2022 at 18:36 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:
[4567] #women,#ehealth [4561] #cx,#women [4544] #digital,#cx [4483] #datascientist,#digital [4430] #finserv,#fashiontech [4224] #fashiontech,#insurtech [3219] chidambara09,#datascientist [3165] #ai,#finserv [3083] #ehealth,#datascience [2970] #datascience,#ai Top Word Pairs in Tweet in G1:
[3404] #digital,#cx [3388] #women,#ehealth [3383] #cx,#women [3357] #datascientist,#digital [3326] #finserv,#fashiontech [3179] #fashiontech,#insurtech [2323] #ai,#finserv [2300] #ehealth,#datascience [2240] chidambara09,#datascientist [2204] #datascience,#ai Top Word Pairs in Tweet in G2:
[656] #women,#ehealth [655] #cx,#women [652] #bigdata,#machinelearning [651] #datascientist,#bigdata [635] #ai,#datascientist [616] #digital,#cx [608] #datascientist,#digital [595] #finserv,#fashiontech [555] #fashiontech,#insurtech [554] #machinelearning,#analytics Top Word Pairs in Tweet in G3:
[171] #fintech,#esg [158] #esg,#sdgs [139] #insurtech,#finserv [134] #sdgs,#insurtech [96] #finserv,#marketing [91] #datascientist,#digital [91] #digital,#cx [82] chidambara09,#datascientist [70] #cx,#women [70] #women,#ehealth Top Word Pairs in Tweet in G4:
[449] #cx,#women [449] #women,#ehealth [435] #finserv,#fashiontech [430] #digital,#cx [424] #datascientist,#digital [418] #fashiontech,#insurtech [385] chidambara09,#datascientist [313] #ai,#finserv [307] #ehealth,#datascience [304] #datascience,#ai Top Word Pairs in Tweet in G5:
[52] apple,watch [26] fashion,tech [23] アップルウォッチ,充電器 [21] watch,充電器 [19] ワイヤレス充電器,3in1 [19] 充電スタンド,apple [17] 前回,圏外 [15] watch,充電 [14] 置くだけ,充電器 [14] 充電器,type Top Word Pairs in Tweet in G6:
[2] set,sensoric [2] sensoric,smokedress [2] smokedress,2012 [2] 2012,re [2] re,recorded [2] recorded,robot [2] robot,studios [2] studios,miami [2] miami,florida [2] florida,recorded Top Word Pairs in Tweet in G7:
[9] ifa,paris [5] creation,3d [5] 3d,portfolios [5] portfolios,ifa [5] paris,students [5] students,made [5] made,possible [5] possible,cooperation [5] cooperation,between [5] between,#cappasity Top Word Pairs in Tweet in G8:
[5] fashion,technology [5] attendance,#fashiontech [5] #fashiontech,#coygriffin [4] 21titles,attendance [3] forget,sign [3] sign,tech [3] tech,skills [3] skills,workshop [3] workshop,14th [3] 14th,january Top Word Pairs in Tweet in G10:
[5] lotus,panels [5] panels,guilin [5] guilin,dress [5] dress,functions [5] functions,leaf [5] leaf,absorbs [5] absorbs,sunlight [5] sunlight,produces [5] produces,energy [5] energy,thin Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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: