The graph represents a network of 1,991 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, 20 May 2022 at 18:17 UTC.
The requested start date was Friday, 20 May 2022 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 3-day, 2-hour, 12-minute period from Monday, 16 May 2022 at 21:48 UTC to Friday, 20 May 2022 at 00:00 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 : 1991
Unique Edges : 1778
Edges With Duplicates : 7994
Total Edges : 9772
Number of Edge Types : 5
Replies to : 863
Mentions : 1426
Retweet : 748
MentionsInRetweet : 1013
Tweet : 5722
Self-Loops : 5744
Reciprocated Vertex Pair Ratio : 0.0689952565761104
Reciprocated Edge Ratio : 0.129084308188786
Connected Components : 321
Single-Vertex Connected Components : 153
Maximum Vertices in a Connected Component : 1041
Maximum Edges in a Connected Component : 3723
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.077029
Graph Density : 0.000625679881072868
Modularity : 0.219991
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,991 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, 20 May 2022 at 18:17 UTC.
The requested start date was Friday, 20 May 2022 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 3-day, 2-hour, 12-minute period from Monday, 16 May 2022 at 21:48 UTC to Friday, 20 May 2022 at 00:00 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:
[3281] #fashion,#lifestyle [3268] #lifestyle,ready [3268] ready,#pretty [928] atc,link [598] 99,atc [576] best,buy [521] #restock,#alert [370] #ad,17 [356] geforce,rtx [288] nvidia,geforce Top Word Pairs in Tweet in G1:
[51] best,buy [31] gift,card [29] 20,best [29] buy,gift [29] card,giveaway [29] giveaway,bestbuy [29] bestbuy,#bestbuy [29] #bestbuy,#affiliate [27] #affiliate,gaynycdad [25] gaynycdad,#sweepstakes Top Word Pairs in Tweet in G2:
[928] atc,link [598] 99,atc [370] #ad,17 [334] geforce,rtx [288] #ad,18 [267] nvidia,geforce [213] stock,alert [213] alert,bestbuy [211] pci,express [211] #nvidia,#graphicscards Top Word Pairs in Tweet in G3:
[10] walmart,target [9] walmart,amazon [8] amazon,bestbuy [8] target,bestbuy [4] save,online [4] online,purchases [4] purchases,including [4] including,ebay [4] ebay,walmart [4] bestbuy,try Top Word Pairs in Tweet in G4:
[3281] #fashion,#lifestyle [3268] #lifestyle,ready [3268] ready,#pretty [238] black,buy1_best [209] long,sleeve [168] #long,#sleeve [158] love,lemons [158] dress,black [157] buy1_best,#michael [155] buy1_best,#love Top Word Pairs in Tweet in G5:
[30] angel,heart [24] street,date [15] alan,parker [13] heart,bestbuy [13] bestbuy,#4kultrahd [13] #4kultrahd,#steelbook [13] #steelbook,street [13] date,12 [13] 12,introduction [13] introduction,angel Top Word Pairs in Tweet in G6:
[20] bestbuy,bestbuysupport [7] bestbuysupport,bestbuy [7] best,buy [6] home,theater [6] geeksquad,bestbuy [4] free,shipping [4] rewards,program [4] cooktop,downdraft [4] horrible,job [4] lenovolegion,lenovous Top Word Pairs in Tweet in G7:
[7] fox,news [7] disney,hulu [6] proctergamble,tampax [6] bestbuy,petsmart [6] always,amazon [6] amazon,bayer [6] bayer,bestbuy [6] bestbuy,carvana [6] carvana,chewy [5] chewy,disney Top Word Pairs in Tweet in G9:
[15] apple,bestbuy [9] walmarthelp,redleader57 [9] redleader57,cloudflare [9] target,walgreens [9] walgreens,apple [9] bestbuy,sony [8] cloudflare,target [6] xxdesmus,walmarthelp [6] walgreens,bestbuy [5] #tgsmartbuys,#deals Top Word Pairs in Tweet in G10:
[23] best,buy [21] amazon,prime [21] prime,eligible [21] x1,49 [20] resident,evil [20] evil,x1 [20] 49,amazon [20] eligible,free [20] free,series [20] series,ps5 Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: