The graph represents a network of 2,946 Twitter users whose recent tweets contained "bestbuy", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 12/29/2022 5:00:32 PM. The network was obtained from Twitter on Friday, 30 December 2022 at 19:10 UTC.
The tweets in the network were tweeted over the 1820-day, 5-hour, 1-minute period from Thursday, 04 January 2018 at 19:56 UTC to Friday, 30 December 2022 at 00:58 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 2946
Unique Edges : 2367
Edges With Duplicates : 9484
Total Edges : 11851
Number of Edge Types : 9
Retweet : 1522
MentionsInRetweet : 2318
Tweet : 2696
MentionsInReplyTo : 3624
Replies to : 733
Mentions : 846
MentionsInQuote : 87
Quote : 24
MentionsInQuoteReply : 1
Self-Loops : 2951
Reciprocated Vertex Pair Ratio : 0.0291079812206573
Reciprocated Edge Ratio : 0.0565693430656934
Connected Components : 412
Single-Vertex Connected Components : 185
Maximum Vertices in a Connected Component : 2003
Maximum Edges in a Connected Component : 8525
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.247461
Graph Density : 0.000505303729727051
Modularity : 0.337316
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2,946 Twitter users whose recent tweets contained "bestbuy", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 12/29/2022 5:00:32 PM. The network was obtained from Twitter on Friday, 30 December 2022 at 19:10 UTC.
The tweets in the network were tweeted over the 1820-day, 5-hour, 1-minute period from Thursday, 04 January 2018 at 19:56 UTC to Friday, 30 December 2022 at 00:58 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[2550] best,buy [704] source,best [704] buy,checker [704] checker,reason [681] button,inventory [681] minutes,faster [681] inventory,bot [681] app,notified [681] bot,app [681] notified,minutes Top Word Pairs in Tweet in G1:
[76] blu,ray [73] best,buy [46] customer,service [45] bestbuy,exclusive [44] 4k,uhd [39] uhd,blu [39] exclusive,4k [37] ray,steelbook [35] steelbook,announcement [34] steelbook,coming Top Word Pairs in Tweet in G2:
[323] best,buy [145] 99,best [139] buy,#ad [107] 99,amazon [103] 4k,uhd [98] star,wars [87] switch,ps4 [72] preorder,best [69] uhd,steelbooks [69] 35,99 Top Word Pairs in Tweet in G3:
[35] bestbuy,geeksquad [28] autogradelinux,cariad_tech [28] semamembers,boschglobal [28] azure,semamembers [28] boschglobal,autogradelinux [28] cariad_tech,westwoodone [27] motorious_nyc,azure [25] westwoodone,noaa [24] installer_show,aapexshow [24] iheartradio,mobilee_group Top Word Pairs in Tweet in G4:
[175] best,buy [145] dance,2023 [144] buy,12 [144] save,30 [144] personalization,3d [144] 3d,immersive [144] 19,personalization [144] 2023,best [144] immersive,worlds [144] 12,19 Top Word Pairs in Tweet in G5:
[461] best,buy [414] store,pickup [333] geforce,rtx [304] rtx,4090 [272] #ad,dec [272] atc,link [211] within,next [211] retailer,best [211] 99,retailer [211] buy,time Top Word Pairs in Tweet in G6:
[15] target,bestbuy [12] bestbuy,circuitcity [7] bbcnews,foxnews [7] nytimes,bbcnews [7] wews,neiltyson [7] iownjd,target [7] neiltyson,shaq [7] foxnews,abc [7] apple,bestbuy [7] circuitcity,amazon Top Word Pairs in Tweet in G7:
[410] buy,checker [410] source,best [410] best,buy [410] checker,reason [389] bot,app [389] button,inventory [389] notified,minutes [389] minutes,faster [389] inventory,bot [389] app,notified Top Word Pairs in Tweet in G8:
[62] wbpictures,mgmstudios [60] bestbuy,exclusive [58] #4kultrahd,plus [58] coming,#4kultrahd [58] exclusive,#steelbook [58] plus,bestbuy [49] thediscfather,bestbuy [43] 2023,starring [32] mrt,dolph_lundgren [32] thecarlweathers,mrt Top Word Pairs in Tweet in G9:
[276] #restock,#alert [191] #alert,#gaming [74] fiyacops,#restock [31] boqli1,#restock [27] #alert,#rx7900xtx [27] #rx7900xtx,#gaming [26] #ps5,#ps5drop [26] #alert,#ps5 [26] #ps5drop,#gaming [18] #alert,#rx7900xt Top Word Pairs in Tweet in G10:
[18] raiderstoney,_untagged [18] gummbyman32,clarisecroix [18] craigjo80374965,gummbyman32 [18] elangeorgemusic,alveecter [18] taylorhickson,vivmilano [18] alveecter,taylorhickson [18] clarisecroix,raiderstoney [18] _untagged,elangeorgemusic [9] rosannafreedom1,jmlpyt [9] chrisrock,franksinatra Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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:
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 Mentioned in G10:
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: