The graph represents a network of 502 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, 24 February 2022 at 06:52 UTC.
The requested start date was Thursday, 24 February 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 5-day, 0-hour, 52-minute period from Friday, 18 February 2022 at 16:59 UTC to Wednesday, 23 February 2022 at 17:52 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 : 502
Unique Edges : 688
Edges With Duplicates : 13621
Total Edges : 14309
Number of Edge Types : 5
Retweet : 5786
MentionsInRetweet : 4909
Mentions : 3328
Tweet : 270
Replies to : 16
Self-Loops : 1875
Reciprocated Vertex Pair Ratio : 0.04
Reciprocated Edge Ratio : 0.0769230769230769
Connected Components : 44
Single-Vertex Connected Components : 21
Maximum Vertices in a Connected Component : 394
Maximum Edges in a Connected Component : 14107
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.749368
Graph Density : 0.00475542938028326
Modularity : 0.063462
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 502 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, 24 February 2022 at 06:52 UTC.
The requested start date was Thursday, 24 February 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 5-day, 0-hour, 52-minute period from Friday, 18 February 2022 at 16:59 UTC to Wednesday, 23 February 2022 at 17:52 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:
[6767] #women,#ehealth [6655] #cx,#women [6480] #ehealth,#ces2023 [6417] #datascientist,#cloud [6284] #mwc22,#cx [6008] #cloud,#digital [5943] #digital,#mwc22 [4912] #finserv,#fashiontech [4494] #ces2023,#finserv [4454] chidambara09,#datascientist Top Word Pairs in Tweet in G1:
[4036] #women,#ehealth [3961] #cx,#women [3933] #ehealth,#ces2023 [3871] #datascientist,#cloud [3784] #mwc22,#cx [3707] #cloud,#digital [3678] #digital,#mwc22 [3156] #finserv,#fashiontech [2720] #ces2023,#finserv [2142] chidambara09,#datascientist Top Word Pairs in Tweet in G2:
[586] #women,#ehealth [576] #cx,#women [565] #ehealth,#ces2023 [564] #datascientist,#cloud [551] #mwc22,#cx [518] chidambara09,#datascientist [517] #cloud,#digital [506] #digital,#mwc22 [402] #ces2023,#finserv [398] #finserv,#fashiontech Top Word Pairs in Tweet in G3:
[2110] #women,#ehealth [2083] #cx,#women [1968] #datascientist,#cloud [1967] #ehealth,#ces2023 [1934] #mwc22,#cx [1777] chidambara09,#datascientist [1770] #cloud,#digital [1744] #digital,#mwc22 [1340] #ces2023,#finserv [1326] #finserv,#fashiontech Top Word Pairs in Tweet in G4:
[32] #metaverse,#fashiontech [32] #fashiontech,#vr [32] #vr,#avatars [32] #avatars,frronconi [32] frronconi,dahl_consult [31] turn,text [31] text,videos [31] videos,using [31] using,avasynth [31] avasynth,studio Top Word Pairs in Tweet in G5:
[33] #cx,#women [33] #women,#ehealth [30] #ces2023,#finserv [30] #finserv,#fashiontech [20] #datascientist,#digital [20] #ehealth,#data [20] #data,#ces2023 [19] #digital,#cx [18] chidambara09,#frenchtech [18] #frenchtech,#datascientist Top Word Pairs in Tweet in G6:
[8] fashion,tech [7] apple,watch [6] 前回,圏外 [6] watch,充電 [5] #sibocolor,#sibostyle [5] #sibostyle,#stylingtool [5] #stylingtool,#fashionapp [5] #fashionapp,#personalbranding [4] usb,pd [4] sibo,app Top Word Pairs in Tweet in G7:
[3] few,more [3] more,details [3] details,#unrealfutures [3] #unrealfutures,project [3] project,voguebusiness [3] voguebusiness,#unrealengine [3] #unrealengine,#fashiontech [3] #fashiontech,#digitalfashion [2] drinkmatt,few [2] #digitalfashion,#metavers Top Word Pairs in Tweet in G8:
[14] shopping,metaverse [12] fashionabc_,shopping [12] #fashiontech,#digitalfashion [9] metaverse,ceek [9] ceek,#fashion [9] #fashion,#hm [9] #hm,#fashiontech [9] #digitalfashion,#ceek [8] #ceek,#metaver [5] metaverse,#hm Top Word Pairs in Tweet in G9:
[11] cappasity,pleased [11] pleased,announce [11] announce,version [11] version,easy [11] easy,3d [11] 3d,scan [11] scan,see [11] see,software [11] software,matters [10] cappasity,cappasity Top Word Pairs in Tweet in G10:
[3] preview,teaser [3] teaser,#limitlessnft [3] #limitlessnft,february [3] february,21st [3] 21st,4pm [3] 4pm,gmt [3] gmt,11am [3] 11am,edt [3] edt,artano__io [3] artano__io,cardano Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
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: