The graph represents a network of 2,924 Twitter users whose tweets in the requested range contained "#retail", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 08 February 2019 at 23:52 UTC.
The requested start date was Friday, 08 February 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 4-day, 8-hour, 10-minute period from Sunday, 03 February 2019 at 16:51 UTC to Friday, 08 February 2019 at 01:01 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 : 2924
Unique Edges : 2851
Edges With Duplicates : 3490
Total Edges : 6341
Number of Edge Types : 3
Tweet : 3906
Mentions : 2407
Replies to : 28
Self-Loops : 3906
Reciprocated Vertex Pair Ratio : 0.0314207650273224
Reciprocated Edge Ratio : 0.0609271523178808
Connected Components : 1251
Single-Vertex Connected Components : 823
Maximum Vertices in a Connected Component : 637
Maximum Edges in a Connected Component : 1273
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 7.04535
Graph Density : 0.000265009853920484
Modularity : 0.41724
NodeXL Version : 1.0.1.408
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1294] link,bio [816] click,link [575] retail,job [470] shift,supervisor [420] bio,apply [417] see,latest [369] store,associate [361] check,out [317] cvs,health [305] great,fit Top Word Pairs in Tweet in G1:
[1241] link,bio [783] click,link [550] retail,job [447] shift,supervisor [404] bio,apply [396] see,latest [361] store,associate [312] cvs,health [310] check,out [286] great,fit Top Word Pairs in Tweet in G2:
[36] retailtech,retail [35] home,delivery [35] delivery,groceries [35] groceries,tunnel [35] tunnel,retailtech [35] retail,iot [35] iot,automation [35] automation,futuristic [33] futuristic,evankirstel [33] evankirstel,kashthefuturist Top Word Pairs in Tweet in G3:
[10] case,missed [9] retailwire,retail [8] retailprophet,case [8] missed,between [8] between,now [8] now,noon [8] noon,et [8] et,shot [8] shot,winning [8] winning,signed Top Word Pairs in Tweet in G4:
[9] kroger,microsoft [9] microsoft,take [9] take,amazon [9] amazon,tictoc [9] tictoc,artificialintelligence [9] artificialintelligence,ai [9] ai,smarttech [9] smarttech,retail [9] retail,industy40 [9] industy40,iiot Top Word Pairs in Tweet in G5:
[36] retailers,now [36] now,realizing [36] realizing,way [36] way,many [36] many,stores [36] stores,stevenpdennis [36] stevenpdennis,retail [36] retail,consumer [36] consumer,digital [32] digital,disruption Top Word Pairs in Tweet in G6:
[5] escritor,escribir [5] escribir,escritores [5] escritores,writers [5] writers,writer [5] writer,cdmx [5] cdmx,frasestumblr [5] frasestumblr,frasesdeinsta [5] frasesdeinsta,frasesbonitas [5] frasesbonitas,frases [5] frases,fotostumblrs Top Word Pairs in Tweet in G7:
[22] ceo,cxo [22] cxo,radio [22] radio,tv [22] tv,csuite [22] csuite,vc [22] vc,privateequity [22] privateequity,media [22] media,fintech [22] fintech,retailtech [22] retailtech,corpgov Top Word Pairs in Tweet in G8:
[12] uk,retail [12] retail,industry [8] league,leaders [8] secret,uk [8] industry,struggling [8] struggling,recent [8] recent,years [6] retail,technology [6] chris,walton [6] blog,learn Top Word Pairs in Tweet in G9:
[9] otc,smkg [7] smartcard,marketing [7] marketing,systems [7] systems,inc [7] inc,otc [7] smkg,files [7] files,form [7] form,1 [7] 1,pursuant [7] pursuant,reg Top Word Pairs in Tweet in G10:
[3] qualcommâ,s [3] s,legal [3] legal,tactics [3] tactics,led [3] led,iphone [3] iphone,ban [3] ban,germany [3] germany,ip [3] ip,intellectualproperty [3] coming,up Top Replied-To in Entire Graph:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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:
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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: