The graph represents a network of 3,232 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 Saturday, 02 February 2019 at 20:01 UTC.
The requested start date was Saturday, 02 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 2-day, 6-hour, 12-minute period from Wednesday, 30 January 2019 at 18:48 UTC to Saturday, 02 February 2019 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 : 3232
Unique Edges : 2977
Edges With Duplicates : 3240
Total Edges : 6217
Number of Edge Types : 3
Tweet : 3686
Mentions : 2485
Replies to : 46
Self-Loops : 3686
Reciprocated Vertex Pair Ratio : 0.0353200883002208
Reciprocated Edge Ratio : 0.0682302771855011
Connected Components : 1371
Single-Vertex Connected Components : 889
Maximum Vertices in a Connected Component : 615
Maximum Edges in a Connected Component : 1023
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 7.139142
Graph Density : 0.000224561105135583
Modularity : 0.44862
NodeXL Version : 1.0.1.408
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1168] link,bio [740] click,link [535] retail,job [447] shift,supervisor [382] check,out [366] see,latest [364] bio,apply [304] store,associate [303] cvs,health [259] great,fit Top Word Pairs in Tweet in G1:
[1139] link,bio [717] click,link [522] retail,job [437] shift,supervisor [354] bio,apply [350] see,latest [299] store,associate [298] cvs,health [282] check,out [249] great,fit Top Word Pairs in Tweet in G2:
[11] banking,fintech [10] gt,gt [10] connected,lifestyle [10] lifestyle,impacting [10] impacting,banking [10] banking,banking [10] fintech,finserv [10] finserv,retail [10] retail,digital [9] jimmarous,connected Top Word Pairs in Tweet in G3:
[16] check,out [12] amazon,marketplace [9] new,york [9] york,city [9] city,s [9] s,minimum [9] minimum,wage [9] wage,increase [9] increase,crushing [9] crushing,small Top Word Pairs in Tweet in G4:
[5] retail,stores [5] retail,ecommerce [5] reinventingretail,retail [5] retaildive,retail [4] 5,retail [4] dead,mall [4] mall,amazon [4] amazon,warehouse [4] warehouse,here's [4] here's,shuttered Top Word Pairs in Tweet in G5:
[8] retail,ecommerce [6] news,media [6] media,hiding [6] hiding,men's [6] men's,trending [6] trending,purchase [6] purchase,female [6] female,robots [6] robots,dolls [6] dolls,technology Top Word Pairs in Tweet in G6:
[22] retail,experience [21] competitive,edge [21] edge,connected [21] connected,smart [21] smart,products [21] products,play [21] play,role [21] role,facilitating [21] facilitating,omnichannel [21] omnichannel,retail Top Word Pairs in Tweet in G7:
[16] retail,technology [14] many,things [14] things,changed [14] changed,retail [14] technology,s [14] s,role [14] role,business [14] business,one [14] one,changed [13] aptos_retail,many Top Word Pairs in Tweet in G8:
[27] digital,signage [24] screen,leasing [24] leasing,4 [24] 4,per [24] per,day [24] day,sound [24] sound,100 [24] 100,client [24] client,satisfaction [24] satisfaction,record Top Word Pairs in Tweet in G9:
[8] jornadesctecno,sobre [6] sobre,retail [6] voltes,voltant [5] empresa,ctecno [4] les,iv [4] iv,jornadesctecno [3] xavier,caixabank [3] caixabank,futur [3] futur,retail [3] retail,seran Top Word Pairs in Tweet in G10:
[13] chiusuredomenicali,retail [11] dei,protagonisti [10] retail,grazie [10] grazie,x [10] x,averci [10] averci,riportati [10] riportati,nel [10] nel,medioevo [10] medioevo,avevamo [10] avevamo,posto Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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Top Replied-To in G5:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G3:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: