The graph represents a network of 8,570 Twitter users whose recent tweets contained "#NRF2020", 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 Wednesday, 15 January 2020 at 13:08 UTC.
The tweets in the network were tweeted over the 1-day, 20-hour, 55-minute period from Monday, 13 January 2020 at 15:36 UTC to Wednesday, 15 January 2020 at 12:32 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 : 8570
Unique Edges : 18144
Edges With Duplicates : 13308
Total Edges : 31452
Number of Edge Types : 5
MentionsInRetweet : 16585
Retweet : 5172
Tweet : 2761
Mentions : 6333
Replies to : 601
Self-Loops : 2831
Reciprocated Vertex Pair Ratio : 0.0157813511226166
Reciprocated Edge Ratio : 0.0310723387571064
Connected Components : 575
Single-Vertex Connected Components : 416
Maximum Vertices in a Connected Component : 7699
Maximum Edges in a Connected Component : 30266
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.950105
Graph Density : 0.000277846128748536
Modularity : 0.49877
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 8,570 Twitter users whose recent tweets contained "#NRF2020", 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 Wednesday, 15 January 2020 at 13:08 UTC.
The tweets in the network were tweeted over the 1-day, 20-hour, 55-minute period from Monday, 13 January 2020 at 15:36 UTC to Wednesday, 15 January 2020 at 12:32 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".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : #NRF2020
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[705] future,retail [474] #nrf2020,#ai [460] day,#nrf2020 [457] learn,more [407] booth,4221 [392] customer,experience [345] stop,booth [338] #nrf2020,booth [336] #retailtech,#nrf2020 [318] #retail,#retailtech Top Word Pairs in Tweet in G1:
[163] nrfbigshow,#nrf2020 [156] #nrf2020,nrfbigshow [135] stop,booth [133] customer,experience [131] booth,5637 [119] learn,more [114] come,see [104] big,show [100] business,wire [94] #nrf2020,booth Top Word Pairs in Tweet in G2:
[243] #nrf2020,#ai [158] #retailtech,#nrf2020 [141] #retail,#retailtech [136] future,#retail [136] future,retail [134] #retailtech,#futureofretail [129] #nrf2020,#retailtech [114] seconds,#nrf2020 [108] #cx,#retailtech [105] #ces2020,#nrf2020 Top Word Pairs in Tweet in G3:
[216] one,minute [216] minute,internet [216] internet,2019 [216] 2019,188 [216] 188,000 [216] 000,000 [216] 000,emails [216] emails,18 [216] 18,100 [216] 100,000 Top Word Pairs in Tweet in G4:
[149] co,founder [143] ceo,michelle [142] kohls,ceo [142] michelle,gass [142] future,retail [141] read,more [141] growth,#nrf2020 [141] recode,co [141] ceo,satyanadella [140] employees,#nrf2020 Top Word Pairs in Tweet in G5:
[396] booth,4221 [189] #nrf2020,#ai [173] #echangeurusa,#nrf2020 [172] #nrf2020,sap_retail [159] jblefevre60,evankirstel [152] #retailtech,#nrf2020 [151] sap_retail,#nrf2020 [141] #retail,#retailtech [137] evankirstel,lesguer_lionel [135] future,retail Top Word Pairs in Tweet in G6:
[72] salesforce,#nrf2020 [68] data,visualized [68] visualized,everyone [68] everyone,take [68] take,action [68] action,tableau [68] tableau,salesforce [51] booth,#5919 [50] customer,experience [31] day,#nrf2020 Top Word Pairs in Tweet in G7:
[40] stop,booth [40] big,show [37] nrf,2020 [28] day,#nrf2020 [25] learn,more [24] giving,away [23] booth,#3663 [22] #cdwgetsretail,#cdwsocial [22] sure,stop [21] customer,experience Top Word Pairs in Tweet in G8:
[170] 38,billion [170] billion,products [170] products,one [170] one,day [150] humans,machines [149] alibaba,sell [149] sell,38 [149] day,workforce [149] workforce,future [149] future,humans Top Word Pairs in Tweet in G9:
[87] #attinfluencer,attbusiness [82] attbusiness,#attretailtech [75] #attretailtech,#retailtechtalk [63] #5g,#nrf2020 [60] #retailtechtalk,#5g [42] intelligent,retail [37] #nrf2020,#attretailtech [25] re,bridging [25] bridging,digital [25] digital,physical Top Word Pairs in Tweet in G10:
[15] #arcgis,business [15] business,analyst [10] nrf,2020 [9] loft,party [8] sam,darnold [8] convention,center [7] future,#retail [7] #nrf2020,come [7] day,#nrf2020 [7] brick,mortar Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G10: