The graph represents a network of 5,039 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 Saturday, 07 December 2019 at 04:09 UTC.
The requested start date was Saturday, 07 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 2-day, 5-hour, 49-minute period from Wednesday, 04 December 2019 at 03:15 UTC to Friday, 06 December 2019 at 09:05 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 : 5039
Unique Edges : 6821
Edges With Duplicates : 2364
Total Edges : 9185
Number of Edge Types : 3
Replies to : 1800
Tweet : 1111
Mentions : 6274
Self-Loops : 1111
Reciprocated Vertex Pair Ratio : 0.0368324125230203
Reciprocated Edge Ratio : 0.0710479573712256
Connected Components : 1005
Single-Vertex Connected Components : 736
Maximum Vertices in a Connected Component : 3551
Maximum Edges in a Connected Component : 7575
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.818144
Graph Density : 0.000266125885422013
Modularity : 0.535758
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 5,039 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 Saturday, 07 December 2019 at 04:09 UTC.
The requested start date was Saturday, 07 December 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 2-day, 5-hour, 49-minute period from Wednesday, 04 December 2019 at 03:15 UTC to Friday, 06 December 2019 at 09:05 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:
[408] best,buy [344] bestbuysauceguy,bestbuy [253] holiday,season [243] thanks,bestbuy [237] season,traveling [237] traveling,sony's [237] sony's,industry [237] industry,leading [237] leading,noise [237] noise,cancelling Top Word Pairs in Tweet in G1:
[343] bestbuysauceguy,bestbuy [228] bestbuy,put [227] put,commercial [91] need,commercial [89] bestbuy,kids [89] kids,need [89] commercial,sauce [79] best,buy [67] customer,service [37] aye,commercial Top Word Pairs in Tweet in G2:
[92] best,buy [20] #deals,#newdeals [15] 99,#deals [14] better,pay [13] bestbuy,walmart [11] yall,better [11] black,friday [11] hottest,favorite [11] favorite,store [11] store,deals Top Word Pairs in Tweet in G3:
[80] bestbuy,bestbuysupport [39] bestbuysupport,bestbuy [37] black,friday [35] customer,service [20] best,buy [17] ceo,corie_barry [16] first,black [16] friday,ceo [16] corie_barry,set [16] set,recognize Top Word Pairs in Tweet in G4:
[237] holiday,season [237] season,traveling [237] traveling,sony's [237] sony's,industry [237] industry,leading [237] leading,noise [237] noise,cancelling [237] cancelling,headphones [237] headphones,thanks [237] thanks,bestbuy Top Word Pairs in Tweet in G5:
[125] best,buy [50] 99,best [46] buy,free [46] free,shipping [45] starlink,battle [45] battle,atlas [45] atlas,starter [43] starter,pack [40] buy,12 [40] 12,days Top Word Pairs in Tweet in G6:
[27] vanilla,visa [26] visa,prepaid [25] prepaid,card [23] 250,vanilla [22] customer,support [21] contest,alert [21] alert,started [21] started,one [21] one,couple [21] couple,minutes Top Word Pairs in Tweet in G7:
[71] pre,order [70] #p5r,coming [70] coming,ps4 [70] ps4,march [70] march,31 [70] 31,2020 [70] 2020,pre [70] order,amazon [70] amazon,gamestop [69] atlus_west,#p5r Top Word Pairs in Tweet in G8:
[41] under,100 [40] series,dishwasher [40] available,bestbuy [37] boschhomeus,800 [37] 800,series [37] dishwasher,available [36] deliciouslysavv,#ad [22] #ad,looking [22] looking,great [22] great,gift Top Word Pairs in Tweet in G9:
[30] bestbuy,limitedrungames [21] limitedrungames,nightdivestudio [12] superclashgamin,bestbuy [9] nightdivestudio,bestbuy [8] picked,today [8] today,delivery [8] delivery,bestbuy [8] bestbuy,super [8] super,nostalgic [8] nostalgic,original Top Word Pairs in Tweet in G10:
[9] bestbuy,ups [8] ups,bestbuy [5] shipwreck,ups [5] customer,service [3] best,buy [3] hp,bestbuy [3] tivo,bestbuy [2] bring,back [2] delivery,date [2] next,wednesday Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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:
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Top Tweeters in G9:
Top Tweeters in G10: