The graph represents a network of 3,777 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 Wednesday, 19 January 2022 at 15:28 UTC.
The tweets in the network were tweeted over the 8-day, 11-hour, 51-minute period from Tuesday, 11 January 2022 at 03:21 UTC to Wednesday, 19 January 2022 at 15:12 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 : 3777
Unique Edges : 17434
Edges With Duplicates : 34027
Total Edges : 51461
Number of Edge Types : 5
Retweet : 7698
MentionsInRetweet : 36070
Mentions : 5378
Replies to : 462
Tweet : 1853
Self-Loops : 1966
Reciprocated Vertex Pair Ratio : 0.0438728528422171
Reciprocated Edge Ratio : 0.0840578480851605
Connected Components : 256
Single-Vertex Connected Components : 187
Maximum Vertices in a Connected Component : 3355
Maximum Edges in a Connected Component : 50902
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.053334
Graph Density : 0.0016532799998205
Modularity : 0.279312
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 3,777 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 Wednesday, 19 January 2022 at 15:28 UTC.
The tweets in the network were tweeted over the 8-day, 11-hour, 51-minute period from Tuesday, 11 January 2022 at 03:21 UTC to Wednesday, 19 January 2022 at 15:12 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:
[990] #ai,#machinelearning [988] spirosmargaris,pawlowskimario [954] nicochan33,chboursin [952] pawlowskimario,mvollmer1 [935] mvollmer1,gvalan [935] gvalan,ipfconline1 [934] ym78200,nicochan33 [923] kalydeoo,ym78200 [920] ipfconline1,diioannid [920] diioannid,shi4tech Top Word Pairs in Tweet in G1:
[186] learn,more [121] big,show [115] day,#nrf2022 [107] #nrf2022,#retail [106] supply,chain [105] ceo,arvindkrishna [103] ibm,ceo [96] #nrf2022,#nrf [93] digital,transformation [90] stop,booth Top Word Pairs in Tweet in G2:
[406] #echangeurusa,#nrf2022 [319] #nrf2022,#echangeurusa [245] big,show [242] nincoroby,guillaume_rio [190] nicochan33,chboursin [173] #nrf2022,#retail [170] pawlowskimario,mvollmer1 [166] spirosmargaris,pawlowskimario [160] #ai,#machinelearning [156] kalydeoo,tewoz Top Word Pairs in Tweet in G3:
[819] #ai,#machinelearning [811] spirosmargaris,pawlowskimario [774] pawlowskimario,mvollmer1 [773] mvollmer1,gvalan [773] gvalan,ipfconline1 [773] ym78200,nicochan33 [770] ipfconline1,diioannid [770] diioannid,shi4tech [770] shi4tech,fisher85m [770] fisher85m,kalydeoo Top Word Pairs in Tweet in G4:
[21] nrf,2022 [19] big,show [14] #nrf,#nrf2022 [14] retail,technology [13] technology,experience [13] experience,center [13] #rsm,#nrf2022 [13] 16,18 [11] retail,big [11] center,nrf Top Word Pairs in Tweet in G5:
[54] sasretail,sassoftware [54] sassoftware,#nrf2022 [41] ultabeauty,sleepnumber [40] jan,18 [35] 18,19 [33] ulta,beauty [30] waitrose,coppel [28] join,virtually [26] sas,cloud [26] cloud,intelligent Top Word Pairs in Tweet in G6:
[51] #vendorawards,#vendorsinpartnership [41] #vipawards,#vendorawards [31] #keynote,speech [31] #retail,#nrf2022 [29] looking,forward [28] #nrf2022,#vendorsinpartnership [25] vendor_awards,tonight [25] gala,#keynote [25] great,lead [25] lead,#nrf2022 Top Word Pairs in Tweet in G7:
[24] enjoying,showing [24] showing,crowds [24] crowds,igc [24] igc,ihunt4 [24] ihunt4,#nrf2022 [24] #nrf2022,many [24] many,great [24] great,retailers [24] retailers,lined [24] lined,great Top Word Pairs in Tweet in G8:
[12] booth,5449 [9] attending,#nrf2022 [9] swing,booth [9] booth,#5449 [8] #nrf2022,sure [8] sure,visit [8] visit,booth [8] 5449,hi [8] hi,arubanetworks [8] arubanetworks,team 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:
[48] help,transform [48] transform,digital [48] digital,business [46] versa,networks [46] 435,level [46] #nrf2022,#sase [46] #sase,#sdwan [24] dan,kennison [24] kennison,walking [24] walking,attendees Top Replied-To in Entire Graph:
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Top Replied-To in G5:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G9:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: