The graph represents a network of 4,552 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, 29 February 2020 at 04:09 UTC.
The requested start date was Saturday, 29 February 2020 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 5-day, 6-hour, 31-minute period from Sunday, 23 February 2020 at 02:33 UTC to Friday, 28 February 2020 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 : 4552
Unique Edges : 5919
Edges With Duplicates : 3331
Total Edges : 9250
Number of Edge Types : 4
Replies to : 1562
Tweet : 739
MentionsInRetweet : 3346
Mentions : 3603
Self-Loops : 739
Reciprocated Vertex Pair Ratio : 0.0462225055785783
Reciprocated Edge Ratio : 0.0883607556368068
Connected Components : 592
Single-Vertex Connected Components : 278
Maximum Vertices in a Connected Component : 3325
Maximum Edges in a Connected Component : 7925
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.853802
Graph Density : 0.000316854211148866
Modularity : 0.566805
NodeXL Version : 1.0.1.425
Data Import : The graph represents a network of 4,552 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, 29 February 2020 at 04:09 UTC.
The requested start date was Saturday, 29 February 2020 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 5-day, 6-hour, 31-minute period from Sunday, 23 February 2020 at 02:33 UTC to Friday, 28 February 2020 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:
[1395] best,buy [458] 99,best [418] blu,ray [324] ray,dvd [249] 44,99 [245] fire,emblem [245] emblem,three [245] three,houses [231] 14,99 [216] collection,mana Top Word Pairs in Tweet in G1:
[327] blu,ray [315] ray,dvd [160] standard,edition [158] digital,download [158] dvd,combo [156] download,demand [156] edition,blu [155] demand,blu [155] dvd,19 [155] 19,standard Top Word Pairs in Tweet in G2:
[88] best,buy [24] 99,best [21] #deals,#newdeals [19] 99,#deals [14] one,vanilla [13] 29,99 [11] 14,99 [11] wireless,headphones [10] 59,99 [10] 99,shipped Top Word Pairs in Tweet in G3:
[248] best,buy [217] 99,best [84] 14,99 [61] collection,mana [54] 44,99 [51] mana,14 [51] fire,emblem [51] emblem,three [51] three,houses [51] houses,44 Top Word Pairs in Tweet in G4:
[270] best,buy [137] 99,best [85] 99,amazon [61] fire,emblem [61] emblem,three [61] three,houses [61] 44,99 [60] 14,99 [59] collection,mana [55] mana,switch Top Word Pairs in Tweet in G5:
[20] bestbuy,walmart [17] #bestbuy,#steelbook [15] widespread,use [15] use,clearview [15] clearview,ai's [15] ai's,racist [15] racist,facial [15] facial,recognition [15] recognition,software [15] software,corporations Top Word Pairs in Tweet in G6:
[244] best,buy [126] king,rool [67] pre,order [67] order,best [66] coral,nintendo [66] nintendo,switch [66] switch,lite [66] lite,pre [65] ninwire,coral [64] rool,piranha Top Word Pairs in Tweet in G7:
[206] best,buy [130] 99,lowest [130] lowest,price [109] 44,99 [108] fire,emblem [108] emblem,three [108] three,houses [103] amazon,best [101] houses,switch [101] switch,down Top Word Pairs in Tweet in G8:
[37] amazonhelp,bestbuy [37] ejfanatic,bestbuy [35] davypgh,amazonhelp [31] bestbuy,disney [31] disney,nisamerica [30] phineasfool,drizsle [30] drizsle,katiepajamas [30] katiepajamas,nswitcherald [30] dragonmstralex,shurtugaltcg [28] nisamerica,akiokahoshi Top Word Pairs in Tweet in G9:
[121] bring,home [121] home,exclusive [121] exclusive,limited [121] limited,time [121] time,collectible [121] collectible,steelbook [121] steelbook,edition [121] edition,#frozen2 [121] #frozen2,best [121] best,buy Top Word Pairs in Tweet in G10:
[22] return,exchange [21] best,buy [19] bestbuy,bestbuysupport [16] exchange,promise [11] customer,service [9] geek,squad [9] bestbuysupport,bestbuy [9] bestbuy,verizon [8] bestbuysupport,verizonsupport [8] verizonsupport,bbb_us Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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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:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: