The graph represents a network of 1,148 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 18:56 UTC.
The tweets in the network were tweeted over the 8-day, 12-hour, 2-minute period from Wednesday, 05 January 2022 at 06:44 UTC to Thursday, 13 January 2022 at 18:46 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 : 1148
Unique Edges : 2447
Edges With Duplicates : 2580
Total Edges : 5027
Number of Edge Types : 5
MentionsInRetweet : 2225
Mentions : 1175
Retweet : 931
Tweet : 593
Replies to : 103
Self-Loops : 604
Reciprocated Vertex Pair Ratio : 0.0825372564004585
Reciprocated Edge Ratio : 0.152488528062125
Connected Components : 228
Single-Vertex Connected Components : 164
Maximum Vertices in a Connected Component : 760
Maximum Edges in a Connected Component : 4532
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.552992
Graph Density : 0.0021514995944579
Modularity : 0.407479
NodeXL Version : 1.0.1.449
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=269954
Data Import : The graph represents a network of 1,148 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 18:56 UTC.
The tweets in the network were tweeted over the 8-day, 12-hour, 2-minute period from Wednesday, 05 January 2022 at 06:44 UTC to Thursday, 13 January 2022 at 18:46 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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[218] big,show [177] 16,18 [127] #nrf2022,#retail [127] #echangeurusa,#nrf2022 [84] retail's,big [84] retail,big [83] #retail,#nrf2022 [80] january,16 [76] jan,16 [71] attending,#nrf2022 Top Word Pairs in Tweet in G1:
[73] big,show [45] 16,18 [35] nrfbigshow,#nrf2022 [32] retail,big [31] retail's,big [27] #nrf2022,retail [26] jan,16 [23] retail,store [23] store,tours [22] stop,booth Top Word Pairs in Tweet in G2:
[29] nrf,2022 [29] 16,18 [27] big,show [16] retail,big [15] january,16 [15] retail,technology [14] technology,experience [14] experience,center [14] center,nrf [14] 2022,#rsm Top Word Pairs in Tweet in G3:
[116] #echangeurusa,#nrf2022 [54] #nrf2022,#retail [51] #nrf2022,#echangeurusa [49] #retail,#echangeurusa [40] #echangeurusa,#retail [32] kalydeoo,ym78200 [32] #retail,#nrf2022 [30] #echangeurusa,#ces2022 [27] de,la [26] #nrf2022,jblefevre60 Top Word Pairs in Tweet in G4:
[51] big,show [35] 16,18 [24] #nrf2022,#mwc2022 [24] #mwc2022,#kpmg [24] #kpmg,#iot [24] #iot,#cloud [24] #tech4good,#innovation [22] #cloud,#retail [22] #retail,#tech4good [21] retail's,big Top Word Pairs in Tweet in G5:
[33] jan,18 [29] ultabeauty,sleepnumber [24] sleepnumber,chrobinson [24] chrobinson,coppel [24] coppel,msretail [23] jan,18th [20] starting,jan [19] melissa,berscheid [18] 18,19 [18] azure,mspartner Top Word Pairs in Tweet in G6:
[31] join,ibm [31] ibm,ceo [31] 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 G7:
[16] #nrf2022,#panjshir [14] shopping,experience [14] booth,#537 [14] discover,solutions [12] afghanistan,#afghanwomen [9] 16,18 [9] #afghanwomen,#nrf2022 [8] #nrf2022,learn [8] york,16 [7] experience,live Top Word Pairs in Tweet in G8:
[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 G9:
[18] kick,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 [18] deliver,seamless Top Word Pairs in Tweet in G10:
[5] brianvision,#nrf2022 [3] #startupsofnrf,chris [3] chris,georgen [3] georgen,founder [3] founder,chief [3] chief,architect [3] architect,topl [3] topl,building [3] building,impact [3] impact,technology Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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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: