The graph represents a network of 2,490 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 Tuesday, 08 January 2019 at 15:40 UTC.
The tweets in the network were tweeted over the 9-day, 19-hour, 54-minute period from Saturday, 29 December 2018 at 19:37 UTC to Tuesday, 08 January 2019 at 15:32 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 : 2490
Unique Edges : 3390
Edges With Duplicates : 3447
Total Edges : 6837
Self-Loops : 1367
Reciprocated Vertex Pair Ratio : 0.0286758504357605
Reciprocated Edge Ratio : 0.0557529379611916
Connected Components : 446
Single-Vertex Connected Components : 316
Maximum Vertices in a Connected Component : 1703
Maximum Edges in a Connected Component : 5695
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.910717
Graph Density : 0.000590388875711766
Modularity : 0.50612
NodeXL Version : 1.0.1.407
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[308] big,show [205] find,out [176] saschat,nrf2019 [170] future,retail [165] nrf2019,retail [152] new,york [139] learn,more [119] ces2019,nrf2019 [115] 1,personalized [109] retail's,big Top Word Pairs in Tweet in G1:
[115] future,retail [114] 1,personalized [80] attending,nrfbigshow [65] nrfbigshow,learn [64] 3,checkout [64] checkout,lines [64] lines,4 [64] 4,home [62] retail,10 [62] 10,years Top Word Pairs in Tweet in G2:
[85] big,show [50] retail's,big [33] until,nrf2019 [33] one,week [31] week,until [30] nrf2019,kicks [30] kicks,meet [30] meet,anaplan [30] anaplan,retail's [23] retail,s Top Word Pairs in Tweet in G3:
[90] ces2019,nrf2019 [67] shopping,experience [62] retail,retailtech [57] deliver,enhanced [57] enhanced,shopping [57] experience,increase [57] increase,operational [54] retail,brand [45] new,look [44] brand,new Top Word Pairs in Tweet in G4:
[29] watsoncommerce,ibmcommerce [22] booth,tour [20] nrf,nrf2019 [19] ibmcommerce,nrf [17] matthew,shay [17] future,retail [17] customer,experience [16] retail,industry [15] nrfbigshow's,very [15] very,matthew Top Word Pairs in Tweet in G5:
[92] join,sap [89] find,out [80] sap,nrf2019 [77] customers,trust [71] experiences,customers [71] trust,join [62] intelligent,enterprise [48] visit,nrf2019 [47] deliver,personalized [47] personalized,experiences Top Word Pairs in Tweet in G6:
[34] retail,industry [33] kroger,microsoft [32] customer,experience [31] microsoft,partner [31] partner,redefine [31] redefine,customer [31] experience,introduce [31] introduce,digital [31] digital,solutions [31] solutions,retail Top Word Pairs in Tweet in G7:
[174] saschat,nrf2019 [30] replying,saschat [27] supply,chain [26] andrewbusby,kristinevick [26] andrewfowkes,replying [25] analytics,nrf2019 [22] andrewbusby,sassoftware [22] customer,feeling [22] sassoftware,a6 [22] a6,iot Top Word Pairs in Tweet in G8:
[21] new,york [11] 20,startups [11] à,new [9] 20,start [9] l'une,des [9] des,20 [9] startups,frenchtech [9] frenchtech,nous [9] nous,accompagnons [9] accompagnons,cette Top Word Pairs in Tweet in G9:
[11] big,show [10] nrf2019,nrf [8] booth,3601 [8] axis,retail [8] retail,solutions [8] solutions,detect [7] around,corner [7] nrf,credit [7] cstorenews_,credit [7] booth,2573 Top Word Pairs in Tweet in G10:
[16] nrf2019,leaveyourlegacy [16] leaveyourlegacy,teaminfor [14] analyst,event [14] trends,retail [14] retail,enterprise [13] exciting,analyst [13] event,sunday [13] sunday,jan [13] jan,13 [13] 13,nrf2019 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 G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: