The graph represents a network of 924 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, 26 May 2022 at 05:36 UTC.
The requested start date was Thursday, 26 May 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, 17-hour, 15-minute period from Thursday, 12 May 2022 at 01:21 UTC to Wednesday, 25 May 2022 at 18:37 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 : 924
Unique Edges : 1460
Edges With Duplicates : 11366
Total Edges : 12826
Number of Edge Types : 5
Retweet : 4649
MentionsInRetweet : 4969
Mentions : 2827
Tweet : 342
Replies to : 39
Self-Loops : 1566
Reciprocated Vertex Pair Ratio : 0.0485603781693167
Reciprocated Edge Ratio : 0.0926229508196721
Connected Components : 89
Single-Vertex Connected Components : 48
Maximum Vertices in a Connected Component : 681
Maximum Edges in a Connected Component : 12301
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.973004
Graph Density : 0.00286098877648173
Modularity : 0.148839
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 924 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, 26 May 2022 at 05:36 UTC.
The requested start date was Thursday, 26 May 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, 17-hour, 15-minute period from Thursday, 12 May 2022 at 01:21 UTC to Wednesday, 25 May 2022 at 18:37 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:
[3410] #cx,#women [3370] #women,#ehealth [3294] #ehealth,#ces2023 [3033] #datascientist,#mwc22 [2949] #mwc22,#ai [2029] #healthtech,#datascientist [1934] #ai,#digitalhealth [1456] #ces2023,#fin [1386] #digitalhealth,#startups [1386] #startups,#cx Top Word Pairs in Tweet in G1:
[3027] #cx,#women [2988] #women,#ehealth [2912] #ehealth,#ces2023 [2693] #datascientist,#mwc22 [2615] #mwc22,#ai [1806] #healthtech,#datascientist [1721] #ai,#digitalhealth [1238] #digitalhealth,#startups [1238] #startups,#cx [1221] #ces2023,#finserv Top Word Pairs in Tweet in G2:
[360] #cx,#women [359] #women,#ehealth [359] #ehealth,#ces2023 [319] #datascientist,#mwc22 [314] #mwc22,#ai [225] #ces2023,#fin [214] #healthtech,#datascientist [211] chidambara09,#healthtech [206] #ai,#digitalhealth [145] #digitalhealth,#startups Top Word Pairs in Tweet in G3:
[28] #fashiontech,#ai [27] #fintech,#finserv [16] #finserv,#marketing [15] industries,impacted [15] impacted,#metaverse [15] #metaverse,_wunderproject [15] _wunderproject,#fintech [15] #marketing,#govtech [15] #govtech,#fashiontech [13] #metaverse,#fashion Top Word Pairs in Tweet in G4:
[23] louisvuitton,nike [23] nike,air [23] #ar,#nft [21] anand_narang,louisvuitton [15] air,force [15] force,#3dbillboard [15] #3dbillboard,times [15] times,square [15] square,#fashiontech [15] #fashiontech,#cmotalks Top Word Pairs in Tweet in G5:
[28] apple,watch [25] fashion,tech [23] 前回,圏外 [16] watch,充電器 [12] ハンドソープ,ディスペンサー [11] 自動,泡 [11] ワイヤレス充電器,3in1 [11] 充電スタンド,apple [10] 圏外,ワイヤレス充電器 [8] アップルウォッチ,充電器 Top Word Pairs in Tweet in G6:
[42] future,fashion [42] fashion,moon [42] moon,rabbit [42] rabbit,ventures [42] ventures,#fashiontech [42] #fashiontech,full [42] full,speed [42] speed,stellar [42] stellar,duo [42] duo,glitchedninja2 Top Word Pairs in Tweet in G7:
[21] cappasity,venture [21] venture,scanner [21] scanner,#startup [21] #startup,#venturecapital [21] #venturecapital,#capp [21] #capp,#augmentedreality [21] #augmentedreality,#virtualreality [20] cappasity,cappasity [20] #virtualreality,#3dim [16] cappasity,nfts Top Word Pairs in Tweet in G8:
[5] thinking,one [5] one,digitizes [5] digitizes,fashion [5] fashion,mean [5] mean,wear [5] wear,clothes [5] clothes,same [5] same,time [5] time,personal [4] world,relies Top Word Pairs in Tweet in G9:
[14] オシャレ充電式ディスペンサー,高評価 [14] 高評価,31 [14] 31,760件 [14] 760件,#0コレ [14] #0コレ,シンプルカラーが可愛い [14] シンプルカラーが可愛い,充電式で繰り返し使える [14] 充電式で繰り返し使える,泡 [14] 泡,液 [14] 液,アルコール [14] アルコール,楽天市場 Top Word Pairs in Tweet in G10:
[3] tomorrow,ucamenterprise [3] #vr,#ar [3] #ar,#digitalfashion [3] #digitalfashion,#virtualfashion [3] #virtualfashion,#fashiontech [3] #fashiontech,#clothes [2] great,day [2] day,#fashiontech [2] ucamenterprise,creative [2] creative,cambridge 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 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: