The graph represents a network of 620 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, 15 December 2022 at 06:25 UTC.
The requested start date was Thursday, 15 December 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 13-day, 21-hour, 48-minute period from Thursday, 01 December 2022 at 03:07 UTC to Thursday, 15 December 2022 at 00:55 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 : 620
Unique Edges : 895
Edges With Duplicates : 2414
Total Edges : 3309
Number of Edge Types : 5
Mentions : 1062
MentionsInRetweet : 1372
Replies to : 57
Retweet : 633
Tweet : 185
Self-Loops : 234
Reciprocated Vertex Pair Ratio : 0.0881226053639847
Reciprocated Edge Ratio : 0.161971830985915
Connected Components : 93
Single-Vertex Connected Components : 54
Maximum Vertices in a Connected Component : 398
Maximum Edges in a Connected Component : 2879
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.940129
Graph Density : 0.00370003647923289
Modularity : 0.277572
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 620 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, 15 December 2022 at 06:25 UTC.
The requested start date was Thursday, 15 December 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 13-day, 21-hour, 48-minute period from Thursday, 01 December 2022 at 03:07 UTC to Thursday, 15 December 2022 at 00:55 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:
[360] ãƒ,ム[119] #ai,#machinelearning [110] #machinelearning,#iot [101] #iot,#5g [93] #5g,#cx [84] #cx,#vr [73] #vr,#selfdrivingcars [71] #selfdrivingcars,#datascience [60] #datascience,#fashiontech [57] ペãƒ,µãƒ Top Word Pairs in Tweet in G1:
[26] #ai,#machinelearning [24] #metaverse,#nft [24] #web3,#metaverse [23] #fashiontech,#digitaltransformation [23] happening,fashion [23] need,#fashiontech [23] fashion,industry [23] #digitaltransformation,happening [21] #fashiontech,#fashion [21] #iot,#iiot Top Word Pairs in Tweet in G2:
[22] enilev,frronconi [16] #metaverse,#nft [15] louisvuitton,#3doutdoor [15] frronconi,sulefati7 [15] #fashiontech,enilev [15] sulefati7,margaretsiegien [15] yasoi,kusama [15] artist,yasoi [15] #3doutdoor,#fashiontech [15] kusama,louisvuitton Top Word Pairs in Tweet in G3:
[251] ãƒ,ム[32] apple,watch [18] fashion,tech [18] ãƒ,ペム[17] ãƒ,apple [16] ペãƒ,µãƒ [15] watch,ム[11] ãƒ,ッム[9] ãƒ,iphone [9] iphone,airpods Top Word Pairs in Tweet in G4:
[86] #ai,#machinelearning [82] #machinelearning,#iot [78] #iot,#5g [71] #5g,#cx [64] #cx,#vr [57] #selfdrivingcars,#datascience [57] #vr,#selfdrivingcars [52] #datascience,#fashiontech [37] #fashiontech,#bigdata [37] #bigdata,#analytics Top Word Pairs in Tweet in G5:
[31] 2023,holding [31] global,clouds [31] growth,global [31] holding,onto [31] clouds,gather [31] onto,growth [26] #fashion,2023 [26] state,#fashion [26] gather,co [21] co,fjdbwdutmt Top Word Pairs in Tweet in G6:
[26] rely,styles [26] world,rely [26] styles,#fashiontech [24] august12th_,world [4] fashion,please [4] learn,visit [4] willing,talktailor [4] place,anything [4] one,place [4] anything,fashion Top Word Pairs in Tweet in G7:
[11] don,miss [11] last,chance [11] mint,close [11] one,week [11] community,december [11] close,don [11] chance,community [11] december,7th [11] week,mint [11] 7th,less Top Word Pairs in Tweet in G8:
[15] create,cappasity [9] details,#cappasity [8] featured,commerce [8] analysis,anâ [8] technology,provider [8] optimization,research [8] anâ,immersive [8] #cappasity,#3dimaging [8] store,watch [8] first,analysis 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:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: