The graph represents a network of 8,673 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 Thursday, 16 January 2020 at 19:34 UTC.
The tweets in the network were tweeted over the 2-day, 21-hour, 24-minute period from Monday, 13 January 2020 at 21:08 UTC to Thursday, 16 January 2020 at 18:32 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 : 8673
Unique Edges : 19160
Edges With Duplicates : 13853
Total Edges : 33013
Number of Edge Types : 5
MentionsInRetweet : 18534
Retweet : 5289
Mentions : 5917
Tweet : 2676
Replies to : 597
Self-Loops : 2742
Reciprocated Vertex Pair Ratio : 0.0181118083285796
Reciprocated Edge Ratio : 0.0355792127748984
Connected Components : 620
Single-Vertex Connected Components : 459
Maximum Vertices in a Connected Component : 7756
Maximum Edges in a Connected Component : 31812
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.992091
Graph Density : 0.000284754123051435
Modularity : 0.47647
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 8,673 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 Thursday, 16 January 2020 at 19:34 UTC.
The tweets in the network were tweeted over the 2-day, 21-hour, 24-minute period from Monday, 13 January 2020 at 21:08 UTC to Thursday, 16 January 2020 at 18:32 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:
[672] #nrf2020,#ai [643] future,retail [561] gt,gt [488] future,#retail [412] day,#nrf2020 [403] #echangeurusa,#nrf2020 [402] booth,4221 [390] learn,more [385] #nrf2020,#ar [379] #nrf2020,#retailtech Top Word Pairs in Tweet in G1:
[273] 000,robots [237] commerce,#nrf2020 [232] sephora,renttherunway [222] social,commerce [220] today,shopping [220] shopping,social [220] social,community [220] community,everything [220] everything,expert [220] expert,panel Top Word Pairs in Tweet in G2:
[514] #nrf2020,#ai [325] gt,gt [317] future,#retail [267] #nrf2020,#retailtech [251] #nrf2020,#ar [243] #retailtech,#nrf2020 [242] seconds,#nrf2020 [234] #retailtech,#digitaltransformation [234] future,retail [227] #retail,#retailtech Top Word Pairs in Tweet in G3:
[101] business,wire [97] big,show [96] #nrf2020,nrfbigshow [83] day,#nrf2020 [80] stop,booth [78] customer,experience [76] nrfbigshow,#nrf2020 [68] last,day [68] #everythingmatters,#nrf2020 [66] erik,nordstrom Top Word Pairs in Tweet in G4:
[395] booth,4221 [394] #echangeurusa,#nrf2020 [225] evankirstel,lesguer_lionel [182] gt,gt [159] jblefevre60,evankirstel [157] sap_retail,#nrf2020 [156] #nrf2020,sap_retail [131] #retail,#sapretail [128] customer,experience [125] day,#nrf2020 Top Word Pairs in Tweet in G5:
[45] big,show [39] nrf,2020 [35] stop,booth [35] #cdwgetsretail,#cdwsocial [29] learn,more [24] giving,away [23] day,#nrf2020 [23] booth,#3663 [22] customer,experience [22] sure,stop Top Word Pairs in Tweet in G6:
[82] booth,5637 [52] lexmark,booth [51] come,see [48] #nrf2020,technology [48] technology,highlight [48] booth,#410 [48] #410,level [48] #tdxtech,#doitsmarter [39] #nrf2020,#lexmarkisretail [32] 5637,#nrf2020 Top Word Pairs in Tweet in G7:
[71] femalequotient,#nrf2020 [68] woman,alone [68] alone,power [68] power,collectively [68] collectively,impact [68] impact,shelleyzalis [68] shelleyzalis,ceo [68] ceo,femalequotient [56] #equalitylounge,#nrf2020 [35] intelligent,retail Top Word Pairs in Tweet in G8:
[33] elastic,path [26] day,#nrf2020 [25] booth,1453 [22] #elasticpath,booth [17] supply,chain [16] booth,4801 [16] come,celebrate [16] celebrate,successful [16] path,coremedia [16] coremedia,ztechus Top Word Pairs in Tweet in G9:
[15] #retail,#nrf2020 [11] #nrf2020,innovations [11] innovations,nouvelles [11] nouvelles,tendances [11] tendances,commerce [11] commerce,retenir [11] retenir,cette [11] cette,édition [11] édition,commentaires [11] commentaires,ici Top Word Pairs in Tweet in G10:
[9] loft,party [9] #nrf2020,nyc [8] achieving,operational [8] operational,excellence [7] #nrf2020,incorta [7] incorta,loft [7] human,beings [7] beings,meant [7] meant,interact [7] interact,one Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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 Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: