The graph represents a network of 798 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, 12 November 2020 at 06:35 UTC.
The requested start date was Thursday, 12 November 2020 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, 32-minute period from Thursday, 29 October 2020 at 03:28 UTC to Thursday, 12 November 2020 at 01:00 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 : 798
Unique Edges : 1046
Edges With Duplicates : 2349
Total Edges : 3395
Number of Edge Types : 5
Mentions : 468
Retweet : 924
MentionsInRetweet : 1763
Tweet : 227
Replies to : 13
Self-Loops : 251
Reciprocated Vertex Pair Ratio : 0.0217948717948718
Reciprocated Edge Ratio : 0.0426599749058971
Connected Components : 100
Single-Vertex Connected Components : 56
Maximum Vertices in a Connected Component : 603
Maximum Edges in a Connected Component : 3101
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.278579
Graph Density : 0.0025062656641604
Modularity : 0.34919
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 798 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, 12 November 2020 at 06:35 UTC.
The requested start date was Thursday, 12 November 2020 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, 32-minute period from Thursday, 29 October 2020 at 03:28 UTC to Thursday, 12 November 2020 at 01:00 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:
[233] #python,#rstats [230] #bigdata,#analytics [214] #iiot,#python [180] #datascience,#ai [179] #datascientist,#selfdrivingcars [178] #selfdrivingcars,#bigdata [169] #ai,#ml [168] #analytics,#datascience [138] #ml,#iiot [110] #ai,#iot Top Word Pairs in Tweet in G1:
[56] #efood,#retailtech [45] #ai,#iot [41] wef,enricomolinari [36] last,longer [36] enricomolinari,#efood [36] #retailtech,#innovation [35] natural,way [35] way,make [35] make,food [35] food,last Top Word Pairs in Tweet in G2:
[50] #fashiontech,#retailtech [50] #retailtech,#wearables [50] #wearables,#360fashion [50] #360fashion,read [48] read,aninanet [28] #wearables,#iot [23] aninanet,thanks [23] #ledribbon,#dyi [23] #dyi,#tutorial [23] #tutorial,#steam Top Word Pairs in Tweet in G3:
[214] #python,#rstats [206] #bigdata,#analytics [197] #iiot,#python [158] #datascience,#ai [158] #datascientist,#selfdrivingcars [157] #selfdrivingcars,#bigdata [148] #ai,#ml [147] #analytics,#datascience [124] #ml,#iiot [79] #rstats,#javascript Top Word Pairs in Tweet in G4:
[34] intengineering,enricomolinari [26] enricomolinari,#ir4 [24] moving,shipping [24] shipping,containers [24] wing_lift,enricomolinari [24] #marketing,#ecommerce [24] #ecommerce,#retailtech [24] businessinsider,enricomolinari [23] levi's,jeans [23] create,denim Top Word Pairs in Tweet in G5:
[23] ãƒ,ム[7] fashion,tech [5] #fashion,#fashiontech [4] ãƒ,žç [4] žç,3ä [4] 3ä,ž [4] ž,åœ [4] apple,watch [4] æ,ç [4] ç,æ Top Word Pairs in Tweet in G6:
[34] virtual,3d [31] 3d,#fashionshows [25] sidefx,otoy [23] #fashionshows,sidefx [22] otoy,#fabricsimulation [20] shoreydesigns,✠[19] animation,test [17] âœ,✠[17] system,virtual [15] âœ,animation Top Word Pairs in Tweet in G7:
[13] pass,discussion [13] discussion,amandajparkes [13] amandajparkes,especially [13] especially,fashion [13] fashion,stilettos [13] stilettos,#fashiontech [13] #fashiontech,gateway [12] aposner,pass [10] girls,finally [10] finally,entering Top Word Pairs in Tweet in G8:
[7] #fashiontech,#garmenttech [4] #garmenttech,#technologyinnovation [3] brand,inishirt [3] inishirt,enables [3] enables,shoppers [3] shoppers,buy [3] buy,tailored [3] tailored,shirt [3] shirt,without [3] without,visiting Top Word Pairs in Tweet in G9:
[3] #fashiontech,influencer [3] influencer,right [3] right,pointing [3] pointing,backhand [3] backhand,index [3] index,#ai [3] #ai,#retailtech [3] #retailtech,#marketing [3] #marketing,#fintech [2] mertiumfin,#fashiontech Top Word Pairs in Tweet in G10:
[4] next,week [4] week,iâ [4] iâ,ll [4] ll,talking [4] talking,maghanmcd [4] maghanmcd,mark [4] mark,morris [4] morris,burberry [4] burberry,michael [4] michael,burke Top Replied-To in Entire Graph:
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: