The graph represents a network of 4,719 Twitter users whose recent tweets contained "@nikestore", 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 Saturday, 07 January 2023 at 16:17 UTC.
The tweets in the network were tweeted over the 10-day, 0-hour, 27-minute period from Wednesday, 28 December 2022 at 15:43 UTC to Saturday, 07 January 2023 at 16:11 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 : 4719
Unique Edges : 12332
Edges With Duplicates : 20950
Total Edges : 33282
Number of Edge Types : 5
Replies to : 5877
Mentions : 20267
Retweet : 1915
MentionsInRetweet : 5214
Tweet : 9
Self-Loops : 39
Reciprocated Vertex Pair Ratio : 0.0770496117910251
Reciprocated Edge Ratio : 0.143075325310037
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 4719
Maximum Edges in a Connected Component : 33282
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.455427
Graph Density : 0.000735214789706292
Modularity : 0.314055
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,719 Twitter users whose recent tweets contained "@nikestore", 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 Saturday, 07 January 2023 at 16:17 UTC.
The tweets in the network were tweeted over the 10-day, 0-hour, 27-minute period from Wednesday, 28 December 2022 at 15:43 UTC to Saturday, 07 January 2023 at 16:11 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 : @nikestore
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:
[1518] nikestore,nike [1397] nikestore,jumpman23 [1193] nike,nikestore [717] nike,jumpman23 [553] jumpman23,nikestore [390] code,cheers [378] n8frost,nike [363] shop,gt [344] link,gt [336] nikestore,link Top Word Pairs in Tweet in G1:
[339] link,gt [330] nikestore,link [137] j23app,nikestore [134] nike,air [116] air,jordan [109] nike,nikestore [108] #ชาล,อตออสต [108] #charlotteaustin,#ชาล [108] itscharlotty,#charlotteaustin [108] อตออสต,น Top Word Pairs in Tweet in G2:
[1332] nikestore,nike [1315] nikestore,jumpman23 [952] nike,nikestore [716] nike,jumpman23 [505] jumpman23,nikestore [377] n8frost,nike [240] n8frost,nikestore [190] sneakeradmirals,snkrfrkrmag [169] nike,sneakeradmirals [163] thereal_jmillz_,nikestore Top Word Pairs in Tweet in G3:
[343] code,cheers [318] shop,gt [232] cheers,nikestore [181] gt,retail [148] gt,#ad [112] select,styles [104] nike,air [101] nikestore,nike [91] men's,nike [89] snkr_twitr,nikestore Top Word Pairs in Tweet in G4:
[37] nikestore,adidas [23] nikestore,underarmour [20] adidas,nikestore [19] underarmour,helensteelefash [16] cocacola,starbucks [15] reddit,amazon [15] starbucks,dolcegabbana [15] amazon,disney [15] dolcegabbana,reddit [15] meta,cocacola Top Word Pairs in Tweet in G5:
[124] nikefootball,nikestore [89] nikestore,usnikefootball [83] usnikefootball,nike [82] adidas,adidasuk [82] glazers,greed [82] greed,adidas [82] boycott,adidas [82] nike,don [82] adidasuk,adidasus [82] fund,glazers Top Word Pairs in Tweet in G6:
[332] taxes,owed [166] 65,4b [166] stashed,bermuda [166] ireland,taxes [166] nikestore,10 [166] trump's,tax [166] corporate,cash [166] bermuda,taxes [166] amazon,2021 [166] hoarding,corporate Top Word Pairs in Tweet in G7:
[33] nikestore,nikeservice [11] _jon_snow__,nikestore [9] alex_b2c,borntocompete [9] recruitgeorgia,gmtmsports [9] gmcbulldogs,gaeliteclassic [9] athdynastychris,kirbysmartuga [9] gamecockfb,alex_b2c [9] coachchoice,coachraw_ [9] gmtmsports,georgiafootball [9] coachgusmalzahn,coachsampittman Top Word Pairs in Tweet in G8:
[2] coryxkenshin,dashiexp [2] nikestore,michaeljordaan [2] nikestore,fedex [2] nunmassacre,uncleruckus [2] sethrogen,taylorswift13 [2] jcolenc,puppetcombo [2] playapex,nikestore [2] iacobeats,jojothamofo [2] puppetcombo,playapex [2] physicalgamerz,whodontai Top Word Pairs in Tweet in G9:
[32] millennium_park,choosechicago [32] nikestore,barstoolchicago [32] nbcschicago,millennium_park [32] barstoolchicago,nbcschicago [31] jumpman23,airjordanlinks [31] airjordanlinks,nikestore [30] barrybutler9,jumpman23 [4] happy,year [2] year,goat [2] beautifully,happy Top Word Pairs in Tweet in G10:
[28] australianlabor,tanya_plibersek [28] tanya_plibersek,nikestore [28] albomp,australianlabor [28] alpsa,actgovernment [28] walabor,territorylabor [28] qldlabor,walabor [28] actgovernment,qldlabor [28] territorylabor,tasliberal [28] liberalnsw,alpsa [28] tasliberal,albomp Top Replied-To in Entire Graph:
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Top Replied-To in G8:
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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 G7:
Top Mentioned in G8:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: