The graph represents a network of 546 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, 28 October 2021 at 05:34 UTC.
The requested start date was Thursday, 28 October 2021 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, 17-minute period from Thursday, 14 October 2021 at 01:26 UTC to Wednesday, 27 October 2021 at 18:44 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 : 546
Unique Edges : 498
Edges With Duplicates : 1471
Total Edges : 1969
Number of Edge Types : 5
Retweet : 642
MentionsInRetweet : 918
Tweet : 193
Mentions : 204
Replies to : 12
Self-Loops : 219
Reciprocated Vertex Pair Ratio : 0.0603015075376884
Reciprocated Edge Ratio : 0.113744075829384
Connected Components : 85
Single-Vertex Connected Components : 39
Maximum Vertices in a Connected Component : 362
Maximum Edges in a Connected Component : 1587
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.970494
Graph Density : 0.00283630742346339
Modularity : 0.376884
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 546 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, 28 October 2021 at 05:34 UTC.
The requested start date was Thursday, 28 October 2021 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, 17-minute period from Thursday, 14 October 2021 at 01:26 UTC to Wednesday, 27 October 2021 at 18:44 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:
[280] #rstats,#javascript [265] #javascript,#reactjs [257] #bigdata,#analytics [254] #iot,#iiot [244] #iiot,#rstats [224] #analytics,#datascience [218] #datascience,#iot [114] #reactjs,#cloudco [98] #reactjs,#cloudcomputing [92] network,#deeplearning Top Word Pairs in Tweet in G1:
[254] #rstats,#javascript [242] #javascript,#reactjs [235] #bigdata,#analytics [230] #iot,#iiot [220] #iiot,#rstats [204] #analytics,#datascience [198] #datascience,#iot [105] #reactjs,#cloudco [87] network,#deeplearning [87] #deeplearning,researchers Top Word Pairs in Tweet in G2:
[27] enricomolinari,#regtech [27] #artificialintelligence,hannah [27] hannah,fry [27] fry,ditch [27] ditch,crap [27] crap,science [27] science,#ai [26] #finserv,#insurtech [25] enricomolinari,#artificialintelligence [20] #regtech,#finserv Top Word Pairs in Tweet in G3:
[13] need,#fashiontech [13] #fashiontech,#digitaltransformation [13] #digitaltransformation,happening [13] happening,fashion [13] fashion,indistry [11] indistry,#futireproof [11] #futireproof,brand [11] brand,answers [11] answers,#digitalfashion [11] #digitalfashion,more Top Word Pairs in Tweet in G4:
[18] #fashion,#fashiontech [15] #drones,catwalk [15] catwalk,#milanfashionweek [15] #milanfashionweek,#fashion [15] #fashiontech,frronconi [15] frronconi,dahl_consult [15] dahl_consult,smaksked [15] smaksked,baski_la [14] anand_narang,#drones [14] baski_la,neville Top Word Pairs in Tweet in G5:
[20] #fashion,#luxury [19] jumpstarting,#valuecreation [19] #valuecreation,#data [19] #data,#analytics [19] #analytics,#fashion [19] #luxury,mckinsey [18] enilev,medialab [18] medialab,researchers [18] researchers,create [18] create,#fabric Top Word Pairs in Tweet in G6:
[34] apple,watch [21] fashion,tech [18] 前回,圏外 [16] watch,充電器 [14] 圏外,ワイヤレス充電器 [14] #sibocolors,#sibostyle [14] #sibostyle,#stylingtool [13] #sustainablefashion,#personalbranding [12] ワイヤレス充電器,apple [12] 充電器,ワイヤレス充電器 Top Word Pairs in Tweet in G7:
[10] founder,shayliharrison [5] responsible,fashion [5] fashion,series [4] join,founder [4] shayliharrison,today [4] today,university [4] university,antwerp [4] antwerp,responsible [4] series,panel [4] panel,discussion Top Word Pairs in Tweet in G8:
[14] women,cad [14] user,group [14] group,meeting [8] cad,onshape [8] onshape,user [7] fashiontech,designer [6] dutch,fashiontech [6] designer,anoukwipprecht [6] anoukwipprecht,join [6] join,upcoming Top Word Pairs in Tweet in G9:
[12] #fashion,#luxury [12] #luxury,companies [12] companies,struggling [12] struggling,monetize [12] monetize,data [12] data,leading [12] leading,firms [12] firms,jumpstarting [12] jumpstarting,value [12] value,creation Top Word Pairs in Tweet in G10:
[3] panel,fashiontech [3] fashiontech,kornit [3] kornit,developing [3] developing,technologies [3] technologies,power [3] power,today [3] today,fashion [3] fashion,join [3] join,kathrin [3] kathrin,buhl Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G10:
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: