The graph represents a network of 1,731 Twitter users whose recent tweets contained "#NRF2019", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 14 January 2019 at 19:26 UTC.
The tweets in the network were tweeted over the 1-hour, 57-minute period from Monday, 14 January 2019 at 17:24 UTC to Monday, 14 January 2019 at 19:21 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 : 1731
Unique Edges : 2576
Edges With Duplicates : 1119
Total Edges : 3695
Self-Loops : 486
Reciprocated Vertex Pair Ratio : 0.0297922383379067
Reciprocated Edge Ratio : 0.0578606775789874
Connected Components : 226
Single-Vertex Connected Components : 128
Maximum Vertices in a Connected Component : 1311
Maximum Edges in a Connected Component : 3184
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 4.548644
Graph Density : 0.000877236920754818
Modularity : 0.635081
NodeXL Version : 1.0.1.393
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[81] check,out [58] stop,booth [58] nrf2019,booth [54] nrf2019,retail [49] find,out [45] customer,service [44] day,2 [43] brian,cornell [40] retail,nrf2019 [40] learn,more Top Word Pairs in Tweet in G1:
[37] valaafshar,amazon [35] companies,1 [33] customer,service [33] employees,leave [33] leave,companies [33] 1,direct [33] direct,manager [33] manager,2 [33] 2,poor [33] poor,company Top Word Pairs in Tweet in G2:
[27] booth,2055 [24] nrf2019,retailrealtalk [22] nrf,nrf19 [20] retailrealtalk,retail [20] mobile,iot [19] nrf19,nrf2019 [19] telco,mobile [19] evankirstel,future [18] retail,tech [18] tech,telco Top Word Pairs in Tweet in G3:
[35] brian,cornell [29] target,ceo [28] ceo,brian [25] 4,keys [23] need,4 [23] keys,stay [23] stay,evolving [23] evolving,1 [19] cornell,doesn [19] doesn,t Top Word Pairs in Tweet in G4:
[14] stop,booth [13] nrfbigshow,nrf2019 [12] nrf2019,booth [9] nrf2019,nrfbigshow [8] check,out [6] nrf2019,retail [6] retail,software [6] new,york [6] booth,2380 [5] session,far Top Word Pairs in Tweet in G5:
[21] retail,nrf2019 [20] ecommerce,retail [14] expo,hall [14] hall,level [13] 00pm,stage [9] level,3 [9] level,1 [9] 1,30pm [8] 1,ecommerce [8] 3,ecommerce Top Word Pairs in Tweet in G6:
[13] visit,booth [12] learn,more [10] check,out [10] nrf2019,visit [10] stop,booth [9] nrf2019,stop [9] nrf2019,learn [9] toshibacommerce,toshiba [8] kirk,goldman [7] partner,nrf2019 Top Word Pairs in Tweet in G7:
[27] sap,booth [26] find,out [23] check,out [22] booth,nrf2019 [21] nrf2019,sap_retail [14] aliciatillman,nrf2019 [13] sap_retail,booth [13] out,sap [13] john,douglas [12] out,engage Top Word Pairs in Tweet in G8:
[12] nrf2019,salesforce [12] booth,4405 [11] customer,engagement [9] nrf2019,booth [8] salesforce,booth [7] retailers,use [6] research,shows [6] shows,retailers [6] use,39 [6] 39,different Top Word Pairs in Tweet in G9:
[16] 2pm,today [13] intelligent,automation [12] live,demo [11] demo,2pm [9] nrf2019,watsoncommerce [7] booth,2119 [7] today,nrf2019 [7] day,1 [6] nrf2019,read [6] brands,already Top Word Pairs in Tweet in G10:
[15] utilizing,touchscreen [15] touchscreen,consumers [15] consumers,control [15] control,wall [15] wall,sized [15] sized,display [15] display,scroll [15] scroll,through [15] through,catalog [15] catalog,find Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: