The graph represents a network of 3,106 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 Saturday, 12 January 2019 at 21:10 UTC.
The tweets in the network were tweeted over the 2-day, 7-hour, 16-minute period from Thursday, 10 January 2019 at 13:45 UTC to Saturday, 12 January 2019 at 21:02 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 : 3106
Unique Edges : 4696
Edges With Duplicates : 3311
Total Edges : 8007
Self-Loops : 1217
Reciprocated Vertex Pair Ratio : 0.0321631280218625
Reciprocated Edge Ratio : 0.0623217922606925
Connected Components : 448
Single-Vertex Connected Components : 314
Maximum Vertices in a Connected Component : 2368
Maximum Edges in a Connected Component : 7065
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.573418
Graph Density : 0.000509117981611612
Modularity : 0.55029
NodeXL Version : 1.0.1.407
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[239] big,show [201] future,retail [186] new,york [186] next,week [157] find,out [153] nrf2019,retail [149] learn,more [139] looking,forward [133] retail,nrf2019 [125] ces2019,nrf2019 Top Word Pairs in Tweet in G1:
[33] visit,booth [26] nrf2019,booth [24] looking,forward [24] next,week [23] stop,booth [21] retail,nrf2019 [21] jan,13 [20] big,show [18] learn,more [18] come,see Top Word Pairs in Tweet in G2:
[107] ces2019,nrf2019 [61] nrf2019,retail [60] wanna,try [60] try,new [60] new,hair [60] hair,colors [60] colors,irmaraste [60] irmaraste,nrf2019 [60] nrf2019,youcamapps [60] youcamapps,ces2019 Top Word Pairs in Tweet in G3:
[32] new,york [28] next,week [28] big,show [24] nrf2019,retail [22] 13,15 [20] looking,forward [20] nrf2019,booth [18] retail,nrf2019 [17] stop,booth [17] quer,saber Top Word Pairs in Tweet in G4:
[91] roiss,nrf2019 [60] nrf2019,retailroi [28] looking,forward [27] find,out [27] retail,experts [25] retail,nrf2019 [18] customer,experience [17] 15,retail [17] leaveyourlegacy,teaminfor [17] retail,2019 Top Word Pairs in Tweet in G5:
[37] nrf2019,nrfbigshow [34] student,program [33] nrfbigshow,abrascenrf [32] abrascenrf,abrasceemny [32] abrasceemny,tendência [29] retail,solutions [28] inteliot,intel [20] nrffoundation,student [19] intel,working [15] working,partners Top Word Pairs in Tweet in G6:
[17] big,show [13] next,retail [13] show,2019 [12] next,week [12] ai,ml [12] nrf,big [11] big,ideas [11] ideas,session [11] booth,3301 [11] msretail,join Top Word Pairs in Tweet in G7:
[71] big,show [49] find,out [49] retail,s [47] sap,s [39] learn,more [38] new,york [37] s,big [34] next,week [31] show,nrf2019 [29] nrf2019,sap_retail Top Word Pairs in Tweet in G8:
[39] new,york [29] à,new [22] amont,nrf2019 [20] big,show [13] cette,année [12] dans,cadre [12] sera,présent [11] lsaconsommation,et [10] cadre,nrf2019 [10] à,newyork Top Word Pairs in Tweet in G9:
[98] future,retail [93] valaafshar,future [58] 1,personalized [58] personalized,offerings [58] 2,more [58] more,automation [58] automation,less [58] less,job [58] job,3 [58] 3,checkout Top Word Pairs in Tweet in G10:
[59] meet,experts [59] experts,nrf2019 [59] nrf2019,discover [59] discover,changing [59] changing,consumer [59] consumer,preferences [59] preferences,driving [59] driving,innovations [59] innovations,create [59] create,meaningful 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 G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: