The graph represents a network of 3,260 Twitter users whose tweets in the requested range contained "#retailtech", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 26 January 2019 at 00:16 UTC.
The requested start date was Friday, 25 January 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 12-day, 12-hour, 33-minute period from Saturday, 12 January 2019 at 12:20 UTC to Friday, 25 January 2019 at 00:54 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 : 3260
Unique Edges : 7062
Edges With Duplicates : 3857
Total Edges : 10919
Number of Edge Types : 3
Mentions : 10048
Replies to : 63
Tweet : 808
Self-Loops : 808
Reciprocated Vertex Pair Ratio : 0.027806925498426
Reciprocated Edge Ratio : 0.0541092394078612
Connected Components : 265
Single-Vertex Connected Components : 145
Maximum Vertices in a Connected Component : 2716
Maximum Edges in a Connected Component : 10214
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.848437
Graph Density : 0.000737551697328963
Modularity : 0.473122
NodeXL Version : 1.0.1.408
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[582] iot,retailtech [547] retail,retailtech [466] future,retail [457] retailtech,mt [356] evankirstel,ipfconline1 [351] ai,ar [349] powered,ai [348] retail,powered [338] ar,iot [322] paula_piccard,future Top Word Pairs in Tweet in G1:
[430] iot,retailtech [411] future,retail [338] retail,powered [338] powered,ai [338] ai,ar [334] retailtech,mt [327] ar,iot [313] paula_piccard,future [266] mt,jblefevre60 [234] evankirstel,ipfconline1 Top Word Pairs in Tweet in G2:
[180] retail,retailtech [101] retailtech,retail [82] nrf2019,retailtech [55] ecommerce,robotics [54] retail,brand [54] marketing,ecommerce [53] brand,marketing [53] robotics,ar [44] check,out [44] nrf2019,retail Top Word Pairs in Tweet in G3:
[205] new,way [205] way,smart [205] smart,grocery [205] grocery,shop [121] iot,retailtech [120] ai,iot [119] retailtech,mt [118] jblefevre60,new [118] shop,ai [118] mt,rajat_shrimal Top Word Pairs in Tweet in G4:
[47] amazon,workspace [47] workspace,amazing [47] amazing,connects [47] connects,employees [47] employees,nature [47] nature,innovation [47] innovation,workplace [47] workplace,tech [46] pbalakrishnarao,amazon [46] tech,officedesi Top Word Pairs in Tweet in G5:
[28] retail,retailtech [16] retailtech,retail [7] trends,watch [6] watch,2019 [6] retailers,retailtech [6] nrf2019,retailtech [6] customerexperience,retailtech [6] 2019,retailtech [6] retail,tech [5] customer,experience Top Word Pairs in Tweet in G6:
[56] retail,retailtech [49] ai,innovation [48] startups,ai [46] innovation,tech [32] entrepreneur,enterprise [32] tech,success [31] success,technology [30] technology,iot [30] iot,marketing [30] investments,venturecapital Top Word Pairs in Tweet in G7:
[20] podcast,generational [20] generational,loyalty [20] loyalty,ecommerce [20] ecommerce,matter [20] matter,glasheenjasmin1 [14] ust,smartops [13] experience,center [11] technology,luxury [11] luxury,brands [11] brands,retail Top Word Pairs in Tweet in G8:
[77] mobile,app [77] app,uses [77] uses,ar [77] ar,try [77] try,shoes [77] shoes,before [77] before,buy [77] buy,ar [77] ar,vr [77] vr,mr Top Word Pairs in Tweet in G9:
[67] booth,2437 [57] zappar,showing [57] showing,augmentedreality [57] augmentedreality,solutions [57] solutions,integrated [57] integrated,toshiba [57] toshiba,tcx [57] tcx,amplify [57] amplify,pos [57] pos,platform Top Word Pairs in Tweet in G10:
[18] retailtech,qui [17] mwc2019,bonjourmobile [17] bonjourmobile,dans [17] dans,hall [17] hall,8 [17] 8,1 [17] 1,digital [17] digital,planet [17] planet,connected [17] connected,experience Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: