The graph represents a network of 528 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, 17 February 2022 at 06:48 UTC.
The requested start date was Thursday, 17 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 4-day, 13-hour, 39-minute period from Saturday, 12 February 2022 at 10:06 UTC to Wednesday, 16 February 2022 at 23:46 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 : 528
Unique Edges : 348
Edges With Duplicates : 13851
Total Edges : 14199
Number of Edge Types : 5
Retweet : 5969
MentionsInRetweet : 4870
Mentions : 3088
Tweet : 249
Replies to : 23
Self-Loops : 1625
Reciprocated Vertex Pair Ratio : 0.040621266427718
Reciprocated Edge Ratio : 0.0780711825487945
Connected Components : 45
Single-Vertex Connected Components : 20
Maximum Vertices in a Connected Component : 329
Maximum Edges in a Connected Component : 13746
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.831154
Graph Density : 0.003130211028693
Modularity : 0.052839
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 528 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, 17 February 2022 at 06:48 UTC.
The requested start date was Thursday, 17 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 4-day, 13-hour, 39-minute period from Saturday, 12 February 2022 at 10:06 UTC to Wednesday, 16 February 2022 at 23:46 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:
[7044] #cx,#women [7044] #women,#ehealth [7034] #ces2023,#finserv [6971] #finserv,#fashiontech [6941] #datascientist,#digital [6767] #ehealth,#data [6767] #data,#ces2023 [6467] #digital,#cx [6020] #fashiontech,#insurtech [4892] chidambara09,#datascientist Top Word Pairs in Tweet in G1:
[4707] #cx,#women [4707] #women,#ehealth [4698] #ces2023,#finserv [4642] #datascientist,#digital [4635] #finserv,#fashiontech [4534] #ehealth,#data [4534] #data,#ces2023 [4284] #digital,#cx [3961] #fashiontech,#insurtech [2732] chidambara09,#datascientist Top Word Pairs in Tweet in G2:
[66] #memecontest,prize [66] prize,top [66] top,winners [66] winners,selected [66] selected,whitelist [66] whitelist,participate [66] participate,follow [66] follow,altavagrouop [65] altavagroup,#memecontest [65] altavagrouop,re Top Word Pairs in Tweet in G3:
[1148] #cx,#women [1148] #women,#ehealth [1145] #ces2023,#finserv [1145] #finserv,#fashiontech [1123] #datascientist,#digital [1097] #ehealth,#data [1097] #data,#ces2023 [1086] #digital,#cx [1074] chidambara09,#datascientist [1045] #fashiontech,#insurtech Top Word Pairs in Tweet in G4:
[1161] #cx,#women [1161] #women,#ehealth [1160] #ces2023,#finserv [1160] #finserv,#fashiontech [1149] #datascientist,#digital [1105] #ehealth,#data [1105] #data,#ces2023 [1070] #digital,#cx [1060] chidambara09,#datascientist [984] #fashiontech,#insurtech Top Word Pairs in Tweet in G5:
[27] apple,watch [18] watch,充電器 [12] 充電器,アップルウォッチ [12] アップルウォッチ,充電器 [11] 充電器,apple [11] スマートフォン,タブレット [11] タブレット,スマホ [8] ワイヤレス充電器,apple [8] 充電器,ワイヤレス充電器 [8] ワイヤレス充電器,スタンド Top Word Pairs in Tweet in G6:
[5] thrilled,partner [5] partner,burberry [5] burberry,unrealengine [5] unrealengine,#unrealfutures [5] #unrealfutures,series [5] series,take [5] take,sneak [5] sneak,peek [4] fialondon,thrilled [4] peek,cr Top Word Pairs in Tweet in G7:
[31] #ehealth,#data [31] #data,#ces2023 [31] #ces2023,#finserv [31] #finserv,#fashiontech [29] #fashiontech,#insurtech [28] #cx,#women [28] #women,#ehealth [27] #datascientist,#digital [27] #digital,#cx [26] chidambara09,#datascientist Top Word Pairs in Tweet in G8:
[4] catch,nkay_yo [4] nkay_yo,space [4] space,talk [4] talk,fashion [4] fashion,everything [4] everything,between [4] between,best [4] best,believe [4] believe,fun [4] fun,#fashiontech Top Word Pairs in Tweet in G9:
[9] cappasity,cappasity [7] cappasity,developing [7] developing,virtual [7] virtual,try [7] try,solution [7] solution,added [7] added,3dshotapp [7] 3dshotapp,include [7] include,human [7] human,body Top Word Pairs in Tweet in G10:
[2] fashion,always [2] always,right [2] right,armani [2] armani,moschino [2] moschino,prada [2] prada,stoneisland [2] stoneisland,maisonvalentino [2] come,discord [2] discord,nfts [2] nfts,#nft 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 G8:
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: