The graph represents a network of 3,039 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 Wednesday, 13 February 2019 at 08:30 UTC.
The requested start date was Wednesday, 13 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 1-day, 8-hour, 21-minute period from Monday, 11 February 2019 at 16:39 UTC to Wednesday, 13 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 : 3039
Unique Edges : 2900
Edges With Duplicates : 3299
Total Edges : 6199
Number of Edge Types : 3
Mentions : 2531
Tweet : 3642
Replies to : 26
Self-Loops : 3642
Reciprocated Vertex Pair Ratio : 0.0297645490892936
Reciprocated Edge Ratio : 0.0578084555651424
Connected Components : 1287
Single-Vertex Connected Components : 810
Maximum Vertices in a Connected Component : 622
Maximum Edges in a Connected Component : 1172
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 7.932388
Graph Density : 0.000251070080613209
Modularity : 0.443635
NodeXL Version : 1.0.1.408
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1157] link,bio [722] click,link [540] retail,job [412] shift,supervisor [394] see,latest [344] bio,apply [338] store,associate [327] check,out [317] cvs,health [263] great,fit Top Word Pairs in Tweet in G1:
[1078] link,bio [678] click,link [497] retail,job [383] shift,supervisor [365] see,latest [327] bio,apply [324] store,associate [296] cvs,health [268] check,out [250] great,fit Top Word Pairs in Tweet in G2:
[62] ar,vr [35] here's,shopping [35] shopping,look [35] look,2027 [35] 2027,ai [35] ai,artificialintelligence [35] artificialintelligence,ar [35] vr,iot [35] iot,retail [35] retail,retailtech Top Word Pairs in Tweet in G3:
[16] 250,stores [14] booksamillion,one [14] one,largest [14] largest,book [14] book,retailers [14] retailers,over [14] over,250 [14] stores,selected [14] selected,aptos [14] aptos,crm Top Word Pairs in Tweet in G4:
[15] retaildive,retail [7] daphnehowland,retaildive [7] retail,tech [6] corinnesusan,retaildive [6] top,retail [6] tech,influencers [6] influencers,follow [6] follow,twitter [5] twitter,2019 [5] umm,very Top Word Pairs in Tweet in G5:
[23] grocery,chain [23] chain,adding [23] adding,robots [23] robots,staff [23] staff,nowthisnews [23] nowthisnews,innovation [23] innovation,robotics [23] robotics,smarttech [22] smarttech,retail [22] retail,iot Top Word Pairs in Tweet in G6:
[25] retailwire,retail [16] ecommerce,retail [13] retail,analytics [12] analytics,marketing [11] marketing,automation [8] automation,inbound_marketing [8] inbound_marketing,ai [8] ai,ml [8] ml,personalization [8] personalization,ecommerce_business Top Word Pairs in Tweet in G7:
[6] retail,grocery [5] tru,kids [5] apricart,s [5] s,intelligent [5] intelligent,shopping [5] shopping,cart [5] cart,breakthrough [5] breakthrough,understanding [5] understanding,retail [5] grocery,market Top Word Pairs in Tweet in G8:
[5] freshproduce,grocery [4] grocery,retail [4] walmart,muscles [4] muscles,ikea [4] ikea,west [4] west,elm's [4] elm's,turf [4] turf,walmart [4] walmart,emarketer [4] emarketer,wayfair Top Word Pairs in Tweet in G9:
[35] mikeschiemer,improve [34] social,media [34] media,changing [34] changing,fashion [34] fashion,retail [34] retail,socialmedia [34] socialmedia,retail [33] mikeschiemer,social [22] improve,retail [22] retail,sales Top Word Pairs in Tweet in G10:
[6] retail,trends [4] transformation,retail [4] retail,experience [4] experience,starts [4] starts,cybersecurity [4] cybersecurity,learn [4] learn,microsoft [3] three,grocery [3] grocery,retail [3] trends,jump Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G5:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: