The graph represents a network of 1,135 Twitter users whose recent tweets contained "#NRF2022", 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, 13 January 2022 at 18:21 UTC.
The tweets in the network were tweeted over the 8-day, 11-hour, 24-minute period from Wednesday, 05 January 2022 at 06:44 UTC to Thursday, 13 January 2022 at 18:09 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 : 1135
Unique Edges : 2426
Edges With Duplicates : 2403
Total Edges : 4829
Number of Edge Types : 5
Retweet : 915
Mentions : 1131
Tweet : 589
MentionsInRetweet : 2092
Replies to : 102
Self-Loops : 599
Reciprocated Vertex Pair Ratio : 0.0842146494320407
Reciprocated Edge Ratio : 0.155346820809249
Connected Components : 227
Single-Vertex Connected Components : 162
Maximum Vertices in a Connected Component : 749
Maximum Edges in a Connected Component : 4336
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.577361
Graph Density : 0.0021505877599857
Modularity : 0.431658
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,135 Twitter users whose recent tweets contained "#NRF2022", 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, 13 January 2022 at 18:21 UTC.
The tweets in the network were tweeted over the 8-day, 11-hour, 24-minute period from Wednesday, 05 January 2022 at 06:44 UTC to Thursday, 13 January 2022 at 18:09 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 : #NRF2022
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[217] big,show [180] 16,18 [163] learn,more [126] #echangeurusa,#nrf2022 [121] #nrf2022,#retail [84] retail,big [83] retail's,big [80] january,16 [77] #retail,#nrf2022 [76] jan,16 Top Word Pairs in Tweet in G1:
[73] big,show [47] 16,18 [45] learn,more [34] nrfbigshow,#nrf2022 [32] retail,big [31] retail's,big [27] #nrf2022,retail [27] jan,16 [23] retail,store [23] store,tours Top Word Pairs in Tweet in G2:
[28] nrf,2022 [28] 16,18 [27] big,show [16] retail,big [15] learn,more [15] january,16 [15] retail,technology [14] technology,experience [14] experience,center [14] 2022,#rsm Top Word Pairs in Tweet in G3:
[115] #echangeurusa,#nrf2022 [52] #nrf2022,#retail [51] #nrf2022,#echangeurusa [48] #retail,#echangeurusa [38] #echangeurusa,#retail [32] kalydeoo,ym78200 [30] #echangeurusa,#ces2022 [29] #retail,#nrf2022 [26] khulood_almani,enilev [24] #nrf2022,jblefevre60 Top Word Pairs in Tweet in G4:
[44] big,show [34] 16,18 [28] learn,more [25] retail's,big [17] jan,16 [17] january,16 [16] #nrf2022,#retail [13] visit,booth [13] #nrf2022,retail's [12] york,city Top Word Pairs in Tweet in G5:
[31] jan,18 [28] ultabeauty,sleepnumber [24] sleepnumber,chrobinson [24] chrobinson,coppel [24] coppel,msretail [23] jan,18th [20] starting,jan [18] melissa,berscheid [18] azure,mspartner [17] 18,19 Top Word Pairs in Tweet in G6:
[22] learn,more [20] #retail,#supplychain [18] #nrf2022,discover [18] retailers,create [16] supply,chains [15] resilient,supply [15] sustainable,supply [14] miss,#sap's [14] #sap's,showcase [14] showcase,#nrf2022 Top Word Pairs in Tweet in G7:
[30] join,ibm [30] ibm,ceo [30] ceo,arvindkrishna [30] arvindkrishna,discusses [30] discusses,retailers [30] retailers,leverage [30] leverage,ai [30] ai,#hybridcloud [30] #hybridcloud,technologies [30] technologies,automate Top Word Pairs in Tweet in G8:
[20] booth,#537 [18] shopping,experience [16] #nrf2022,#panjshir [12] 16,18 [12] afghanistan,#afghanwomen [11] york,16 [11] thanks,wl [11] discover,more [11] more,solutions [11] #nrf2022,booth Top Word Pairs in Tweet in G9:
[16] دیدارم,با [16] با,احمد [16] احمد,مسعود [16] مسعود,جبهه [16] جبهه,مقاومت [16] مقاومت,ملی [16] ملی,و [16] و,سردرگمی [16] سردرگمی,هایش [16] هایش,#مقاومت Top Word Pairs in Tweet in G10:
[18] kick,year [18] year,style [18] style,#nrf2022 [18] #nrf2022,#retail [18] #retail,experts [18] experts,show [18] show,reach [18] reach,#cx [18] #cx,goals [18] goals,deliver Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: