The graph represents a network of 8,802 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 Friday, 17 January 2020 at 17:34 UTC.
The tweets in the network were tweeted over the 3-day, 17-hour, 29-minute period from Monday, 13 January 2020 at 23:29 UTC to Friday, 17 January 2020 at 16:58 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 : 8802
Unique Edges : 20181
Edges With Duplicates : 13228
Total Edges : 33409
Number of Edge Types : 5
MentionsInRetweet : 19254
Retweet : 5066
Tweet : 2638
Mentions : 5866
Replies to : 585
Self-Loops : 2700
Reciprocated Vertex Pair Ratio : 0.0169230071230888
Reciprocated Edge Ratio : 0.0332827696975105
Connected Components : 626
Single-Vertex Connected Components : 459
Maximum Vertices in a Connected Component : 7863
Maximum Edges in a Connected Component : 32153
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.032392
Graph Density : 0.000289338337928745
Modularity : 0.484794
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 8,802 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 Friday, 17 January 2020 at 17:34 UTC.
The tweets in the network were tweeted over the 3-day, 17-hour, 29-minute period from Monday, 13 January 2020 at 23:29 UTC to Friday, 17 January 2020 at 16:58 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:
[658] #nrf2020,#ai [655] gt,gt [619] future,retail [488] future,#retail [440] retail,#nrf2020 [418] #nrf2020,#ar [387] commerce,#nrf2020 [384] day,#nrf2020 [374] booth,4221 [368] #nrf2020,#retailtech Top Word Pairs in Tweet in G1:
[327] commerce,#nrf2020 [320] sephora,renttherunway [310] social,commerce [308] today,shopping [308] shopping,social [308] social,community [308] community,everything [308] everything,expert [308] expert,panel [308] panel,facebook Top Word Pairs in Tweet in G2:
[484] #nrf2020,#ai [350] gt,gt [300] future,#retail [258] #nrf2020,#ar [242] #nrf2020,#retailtech [235] seconds,#nrf2020 [235] #retailtech,#digitaltransformation [228] #retailtech,#nrf2020 [227] #ai,#ml [211] future,retail Top Word Pairs in Tweet in G3:
[368] booth,4221 [354] #echangeurusa,#nrf2020 [251] gt,gt [200] evankirstel,lesguer_lionel [168] #nrf2020,#retail [159] sap_retail,#nrf2020 [152] #nrf2020,sap_retail [146] #nrf2020,#ar [146] future,retail [138] jblefevre60,evankirstel Top Word Pairs in Tweet in G4:
[99] business,wire [94] #everythingmatters,#nrf2020 [83] matters,#everythingmatters [78] big,show [57] #cdwgetsretail,#nrf2020 [54] wire,#nrf2020 [52] learn,more [49] customer,experience [45] delltech,booth [43] nyc,#nrf2020 Top Word Pairs in Tweet in G5:
[48] big,show [35] nrf,2020 [33] stop,booth [33] #cdwgetsretail,#cdwsocial [30] learn,more [25] retail's,big [24] day,#nrf2020 [22] giving,away [21] last,day [21] sure,stop Top Word Pairs in Tweet in G6:
[68] woman,alone [68] alone,power [68] power,collectively [68] collectively,impact [68] impact,shelleyzalis [68] shelleyzalis,ceo [68] ceo,femalequotient [68] femalequotient,#nrf2020 [44] #equalitylounge,#nrf2020 [13] one,another Top Word Pairs in Tweet in G7:
[20] stop,booth [17] #nrf2020,more [14] make,sure [14] free,#ecommerce [14] #ecommerce,site [14] site,performance [14] performance,evaluation [14] booth,1712 [13] learn,more [12] observation,speaking Top Word Pairs in Tweet in G8:
[36] xcover,pro [35] galaxy,xcover [14] #microsoftai,#nrf2020 [14] pro,#nrf2020 [13] read,more [12] trends,driving [12] booth,#3219 [11] nrf,2020 [11] big,retail [11] satya,nadella Top Word Pairs in Tweet in G9:
[11] next,gen [10] #innovation,#leadership [10] erik,nordstrom [9] #nrf2020,top [9] top,sites [9] sites,market [9] market,research [9] research,#bigdataanalytics [9] #bigdataanalytics,#retailtech [9] #retailtech,#datascience Top Word Pairs in Tweet in G10:
[10] day,#nrf2020 [9] christina,fontana [8] launch,event [8] decade,ahead [8] wyclef,jean [7] event,#nrf2020 [7] leave,feedback [7] debweinswig,#nrf2020 [7] fontana,head [7] head,luxury Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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:
Top Tweeters in G1:
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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: