The graph represents a network of 14,705 Twitter users whose recent tweets contained "Shopify lang:en", 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 Tuesday, 05 July 2022 at 18:31 UTC.
The tweets in the network were tweeted over the 5-day, 1-hour, 47-minute period from Thursday, 30 June 2022 at 15:08 UTC to Tuesday, 05 July 2022 at 16:55 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 : 14705
Unique Edges : 17999
Edges With Duplicates : 7577
Total Edges : 25576
Number of Edge Types : 5
Replies to : 1703
Retweet : 10903
Mentions : 4140
MentionsInRetweet : 3587
Tweet : 5243
Self-Loops : 5388
Reciprocated Vertex Pair Ratio : 0.012071518050336
Reciprocated Edge Ratio : 0.0238550692022055
Connected Components : 2005
Single-Vertex Connected Components : 1285
Maximum Vertices in a Connected Component : 10749
Maximum Edges in a Connected Component : 20338
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.07606
Graph Density : 8.22024294254173E-05
Modularity : 0.623374
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 14,705 Twitter users whose recent tweets contained "Shopify lang:en", 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 Tuesday, 05 July 2022 at 18:31 UTC.
The tweets in the network were tweeted over the 5-day, 1-hour, 47-minute period from Thursday, 30 June 2022 at 15:08 UTC to Tuesday, 05 July 2022 at 16:55 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 : Shopify lang:en
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:
[6207] shopify,74 [6189] paypal,62 [6143] nvidia,50 [6134] zoom,40 [6102] netflix,70 [6101] uber,50 [6100] tesla,35 [6097] airbnb,45 [6096] amazon,35 [6091] microsoft,24 Top Word Pairs in Tweet in G1:
[5472] amazon,35 [5472] 35,tesla [5472] tesla,35 [5472] airbnb,45 [5472] uber,50 [5472] 50,meta [5472] meta,53 [5472] netflix,70 [5472] shopify,74 [5471] 35,zoom Top Word Pairs in Tweet in G2:
[412] gonna,change [412] change,commerce [411] 10,think [411] think,jpegs [411] jpegs,gonna [115] money,customers [109] deadwood,bible [105] thread,dark [105] dark,shopify [105] shopify,destroying Top Word Pairs in Tweet in G3:
[135] shopify,store [125] shopify,74 [124] netflix,70 [122] airbnb,45 [122] meta,53 [122] snap,72 [121] 40,airbnb [121] uber,50 [121] 70,snap [121] 73,shopify Top Word Pairs in Tweet in G4:
[1639] #addtocart,#ecommerce [1639] #ecommerce,#trending [1639] #trending,#shopify [1436] #shopify,#marketplace [1361] #marketplace,#rt [1159] #rt,#whatstrending [1158] #whatstrending,#shop [439] #clothingaccessories,#addtocart [406] #homegarden,#addtocart [238] #clothing,#clothingaccessories Top Word Pairs in Tweet in G5:
[238] 60,fps [210] performant,library [210] library,lists [205] open,sourcing [205] sourcing,flashlist [205] flashlist,faster [205] faster,performant [205] lists,#reactnative [205] #reactnative,flashlist [205] flashlist,delivers Top Word Pairs in Tweet in G6:
[295] hiring,paid [295] paid,frontend [295] frontend,intern [295] intern,roles [295] roles,klas_hq [295] klas_hq,klas [295] klas,set [295] set,online [295] online,school [295] school,host Top Word Pairs in Tweet in G7:
[112] future,commerce [55] sit,notice [55] notice,tiny [55] tiny,cameo [55] cameo,youngest [55] youngest,projects [55] projects,space [55] space,time [30] 10,think [30] think,jpegs Top Word Pairs in Tweet in G8:
[23] nextjs,reactjs [22] reactjs,vite_js [22] vite_js,tailwindcss [22] tailwindcss,shopify [22] vercel,heroku [19] asana,todoist [19] todoist,notionhq [19] notionhq,nextjs [19] shopify,vercel [19] heroku,cronhooks Top Word Pairs in Tweet in G9:
[97] shopify,store [83] store,tiktok [78] tiktok,organic [67] step,formula [67] formula,10x [67] 10x,shopify [46] #ecommerce,#shopify [42] like,comment [40] comment,send [34] hit,15k Top Word Pairs in Tweet in G10:
[178] invisible,friends [166] snapchat,topdrawermerch [166] topdrawermerch,hooknsling [163] shopify,blockbar [163] blockbar,snapchat [134] nft,nyc [132] powered,shopify [128] friends,athletic [128] athletic,club [125] club,nft Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: