The graph represents a network of 8,470 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 01:30 UTC.
The tweets in the network were tweeted over the 2-day, 4-hour, 20-minute period from Monday, 13 January 2020 at 18:54 UTC to Wednesday, 15 January 2020 at 23:15 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 : 8470
Unique Edges : 18181
Edges With Duplicates : 14299
Total Edges : 32480
Number of Edge Types : 5
Retweet : 5255
MentionsInRetweet : 17744
Mentions : 6168
Replies to : 645
Tweet : 2668
Self-Loops : 2739
Reciprocated Vertex Pair Ratio : 0.0181709859994042
Reciprocated Edge Ratio : 0.0356933879461673
Connected Components : 584
Single-Vertex Connected Components : 429
Maximum Vertices in a Connected Component : 7595
Maximum Edges in a Connected Component : 31320
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.965716
Graph Density : 0.000285895793576211
Modularity : 0.478389
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 8,470 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 01:30 UTC.
The tweets in the network were tweeted over the 2-day, 4-hour, 20-minute period from Monday, 13 January 2020 at 18:54 UTC to Wednesday, 15 January 2020 at 23:15 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:
[644] future,retail [556] #nrf2020,#ai [459] booth,4221 [439] day,#nrf2020 [429] learn,more [403] future,#retail [399] #echangeurusa,#nrf2020 [381] customer,experience [340] #nrf2020,#retailtech [338] #nrf2020,#retail Top Word Pairs in Tweet in G1:
[210] john,furner [198] #nrf2020,nrfbigshow [186] read,more [181] ceo,michelle [181] michelle,gass [180] president,ceo [180] kohls,ceo [178] future,retail [178] employees,#nrf2020 [178] growth,#nrf2020 Top Word Pairs in Tweet in G2:
[510] #nrf2020,#ai [398] #echangeurusa,#nrf2020 [298] #retailtech,#nrf2020 [293] #retail,#retailtech [287] #nrf2020,#retailtech [282] future,#retail [250] future,retail [249] #nrf2020,#ar [229] evankirstel,lesguer_lionel [211] #ai,#retailtech Top Word Pairs in Tweet in G3:
[452] booth,4221 [270] 000,robots [166] #nrf2020,sap_retail [165] customer,experience [163] day,#nrf2020 [157] learn,more [157] sap_retail,#nrf2020 [148] #retail,#sapretail [141] future,retail [139] #nrf2020,#retail Top Word Pairs in Tweet in G4:
[74] femalequotient,#nrf2020 [71] woman,alone [71] alone,power [71] power,collectively [71] collectively,impact [71] impact,shelleyzalis [71] shelleyzalis,ceo [71] ceo,femalequotient [62] #equalitylounge,#nrf2020 [37] intelligent,retail Top Word Pairs in Tweet in G5:
[108] booth,5637 [100] business,wire [80] come,see [67] lexmark,booth [67] #nrf2020,booth [56] #everythingmatters,#nrf2020 [55] booth,4905 [54] wire,#nrf2020 [54] aptos,booth [53] today,#nrf2020 Top Word Pairs in Tweet in G6:
[39] big,show [39] nrf,2020 [38] stop,booth [35] #cdwgetsretail,#cdwsocial [29] learn,more [26] giving,away [25] booth,#3663 [24] day,#nrf2020 [23] sure,stop [22] customer,experience Top Word Pairs in Tweet in G7:
[106] one,minute [106] minute,internet [106] internet,2019 [106] 2019,188 [106] 188,000 [106] 000,000 [106] 000,emails [106] emails,18 [106] 18,100 [106] 100,000 Top Word Pairs in Tweet in G8:
[34] delltech,booth [26] #nrf2020,come [25] 1219,level [25] level,#nrfbigshow [23] nyc,#nrf2020 [22] #cdwgetsretail,#cdwsocial [22] come,hi [22] hi,delltech [22] booth,1219 [20] enhanced,video Top Word Pairs in Tweet in G9:
[19] #nrf2020,more [14] observation,speaking [14] speaking,multiple [14] multiple,major [14] major,brands [14] brands,today [14] today,#nrf2020 [14] more,customer [14] customer,data [14] data,none Top Word Pairs in Tweet in G10:
[78] #attinfluencer,attbusiness [70] attbusiness,#attretailtech [69] #attretailtech,#retailtechtalk [63] #5g,#nrf2020 [60] #retailtechtalk,#5g [49] #nrf2020,#attretailtech [35] #attinfluencer,#nrf2020 [31] #attretailtech,#retail [28] #attinfluencer,#attretailtech [26] attbusiness,#attinfluencer Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
Top Replied-To in G9:
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 G5:
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Top Tweeters in G9:
Top Tweeters in G10: