The graph represents a network of 16,732 Twitter users whose recent tweets contained "#Costco", 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 Friday, 22 May 2020 at 14:54 UTC.
The tweets in the network were tweeted over the 2-day, 0-hour, 0-minute period from Wednesday, 20 May 2020 at 14:38 UTC to Friday, 22 May 2020 at 14:39 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 : 16732
Unique Edges : 18815
Edges With Duplicates : 1090
Total Edges : 19905
Number of Edge Types : 5
Retweet : 16354
Tweet : 1108
Replies to : 1569
MentionsInRetweet : 401
Mentions : 473
Self-Loops : 1145
Reciprocated Vertex Pair Ratio : 0.00076724941086206
Reciprocated Edge Ratio : 0.00153332238103061
Connected Components : 934
Single-Vertex Connected Components : 672
Maximum Vertices in a Connected Component : 15203
Maximum Edges in a Connected Component : 18386
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.58806
Graph Density : 6.52311149010242E-05
Modularity : 0.694847
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 16,732 Twitter users whose recent tweets contained "#Costco", 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 Friday, 22 May 2020 at 14:54 UTC.
The tweets in the network were tweeted over the 2-day, 0-hour, 0-minute period from Wednesday, 20 May 2020 at 14:38 UTC to Friday, 22 May 2020 at 14:39 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 : #Costco
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 G2:
[7121] #costco,#costcotison [7116] works,costco [7116] dad,works [7116] costco,gave [7116] gave,employees [299] employees,free [289] free,takeout [277] takeout,everyday [276] everyday,weeks [275] weeks,help Top Word Pairs in Tweet in G3:
[1213] away,#costco [641] #costco,#wearethepeople [639] #wearethepeople,#covid19 [639] #covid19,#coronavirusuk [639] #coronavirusuk,#covididiots [639] taken,away [639] karen,shopping [639] shopping,cart [639] cart,taken [639] kevin,karen Top Word Pairs in Tweet in G4:
[1540] saliva,droplets [1539] free,country [1539] #costco,right [1539] right,require [1539] require,customers [1538] customers,wear [1537] wear,mask [1537] mask,businesses [1537] businesses,right [1535] right,prevent Top Word Pairs in Tweet in G5:
[1664] wear,mask [839] thank,#costco [836] #costcotison,#costco [836] #costco,#costcotison [836] free,country [836] wearing,mask [832] go,#costco [832] love,#costco [832] #costco,employee [832] well,done Top Word Pairs in Tweet in G6:
[43] guess,costco [36] costco,didn [36] didn,watch [23] watch,dr [22] dr,fauci [21] fauci,last [21] last,month [21] month,#costco [20] #costco,#nomasks [16] closing,due Top Word Pairs in Tweet in G7:
[413] #costco,doing [413] doing,correctly [413] slow,effing [413] effing,clap [413] clap,signing [413] signing,#costco [413] #costco,membership [413] saliva,droplets [413] thank,#costco [306] #costco,right Top Word Pairs in Tweet in G8:
[483] deserves,raise [483] bravo,#costco [16] #costco,whoever [16] whoever,employee [16] employee,far [16] far,concerned [16] concerned,employee [14] employee,month [10] month,deserves [7] #costco,shopping Top Word Pairs in Tweet in G9:
[238] wearing,mask [236] hate,wearing [236] mask,really [236] really,won [236] won,ventilator [236] ventilator,#costco [236] seeing,#costco [236] #costco,money [236] money,hell [190] hell,maga Top Word Pairs in Tweet in G10:
[107] free,country [92] wear,mask [92] doing,woke [92] woke,free [92] country,defiant [92] defiant,#costco [29] #costco,customer [29] customer,filmed [29] filmed,encounter [29] encounter,employee Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: