The graph represents a network of 7,124 Twitter users whose tweets in the requested range contained "bestbuy", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 18 September 2020 at 18:53 UTC.
The requested start date was Friday, 18 September 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 23-hour, 57-minute period from Tuesday, 15 September 2020 at 00:03 UTC to Friday, 18 September 2020 at 00:01 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 : 7124
Unique Edges : 10598
Edges With Duplicates : 10821
Total Edges : 21419
Number of Edge Types : 5
Replies to : 3305
Retweet : 2451
MentionsInRetweet : 6016
Mentions : 8381
Tweet : 1266
Self-Loops : 1298
Reciprocated Vertex Pair Ratio : 0.0259759211966436
Reciprocated Edge Ratio : 0.0506365123390939
Connected Components : 1028
Single-Vertex Connected Components : 540
Maximum Vertices in a Connected Component : 5003
Maximum Edges in a Connected Component : 18589
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.39424
Graph Density : 0.000277095423536837
Modularity : 0.503049
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 7,124 Twitter users whose tweets in the requested range contained "bestbuy", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 18 September 2020 at 18:53 UTC.
The requested start date was Friday, 18 September 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 2-day, 23-hour, 57-minute period from Tuesday, 15 September 2020 at 00:03 UTC to Friday, 18 September 2020 at 00:01 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 : GraphServerTwitterSearch
Graph Term : bestbuy
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:
[792] fox,news [678] best,buy [519] concentration,camps [516] news,supports [516] supports,concentration [516] camps,forcibly [516] forcibly,sterilizing [516] sterilizing,women [420] pre,order [373] bestbuy,monitor Top Word Pairs in Tweet in G1:
[198] coryxkenshin,bestbuy [172] best,buy [123] pre,order [87] deleting,channel [87] channel,fault [87] fault,bestbuy [86] coryxkenshin,deleting [57] thank,bestbuy [55] metalodon,bestbuy [48] place,order Top Word Pairs in Tweet in G2:
[777] fox,news [519] concentration,camps [516] news,supports [516] supports,concentration [516] camps,forcibly [516] forcibly,sterilizing [516] sterilizing,women [274] goldencorral,nutrisystem [272] mcdonalds,tivityhealth [272] tivityhealth,arbys Top Word Pairs in Tweet in G3:
[99] playstation,bestbuy [80] bestbuy,amazon [77] best,buy [61] bestbuy,playstation [52] pre,orders [50] walmart,bestbuy [49] pre,order [45] bestbuy,target [43] bestbuy,walmart [39] sony,playstation Top Word Pairs in Tweet in G4:
[88] best,buy [61] pre,order [40] #ps5,#bestbuy [23] place,order [22] ps5,pre [22] #bestbuy,#ps5 [20] ps5,bestbuy [19] #playstation5,#bestbuy [16] order,ps5 [16] ps5,preorder Top Word Pairs in Tweet in G5:
[320] super,super [320] super,big [320] big,thanks [320] thanks,customers [320] customers,supporters [320] supporters,without [320] without,guys [320] guys,1m [320] 1m,spent [320] spent,weeks Top Word Pairs in Tweet in G6:
[185] best,buy [69] amazon,best [56] 99,best [44] 99,amazon [42] buy,gamestop [36] wario64,ps5 [34] 29,99 [32] wario64,playstation [28] wd,easystore [28] external,usb Top Word Pairs in Tweet in G7:
[84] keep,checking [84] checking,restocks [84] bb,gs [81] make,sure [81] sure,keep [81] restocks,ps5 [81] ps5,bb [80] snkr_twitr,make [61] sony,playstation [61] amazon,bestbuy Top Word Pairs in Tweet in G8:
[21] pre,order [17] best,buy [11] fab_saga,zakvorhees [11] zakvorhees,bestbuy [7] igndeals,bestbuy [6] rtdiveley87,fab_saga [5] try,bestbuy [5] everyone,aware [5] aware,best [5] buy,restocked Top Word Pairs in Tweet in G9:
[24] best,buy [15] apple,watch [11] buy,announces [11] announces,exclusive [11] exclusive,offers [11] offers,apple [11] apple,fitness [11] fitness,fitness [11] fitness,experience [11] experience,apple Top Word Pairs in Tweet in G10:
[30] co,bpi2d6tldc [28] solelinks,ad [28] wm,co [28] bb,co [28] gs,co [27] ad,#ps5 [27] #ps5,links [27] links,save [27] save,possible [27] possible,restocks Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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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 G10: