The graph represents a network of 6,992 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, 02 October 2020 at 18:56 UTC.
The requested start date was Friday, 02 October 2020 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, 21-hour, 57-minute period from Monday, 28 September 2020 at 02:02 UTC to Friday, 02 October 2020 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 : 6992
Unique Edges : 5083
Edges With Duplicates : 12335
Total Edges : 17418
Number of Edge Types : 5
Replies to : 1542
Mentions : 4167
Retweet : 4621
MentionsInRetweet : 6112
Tweet : 976
Self-Loops : 1008
Reciprocated Vertex Pair Ratio : 0.0145198091682224
Reciprocated Edge Ratio : 0.0286240032713147
Connected Components : 637
Single-Vertex Connected Components : 306
Maximum Vertices in a Connected Component : 5767
Maximum Edges in a Connected Component : 15773
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.510859
Graph Density : 0.000200118360742989
Modularity : 0.48028
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 6,992 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, 02 October 2020 at 18:56 UTC.
The requested start date was Friday, 02 October 2020 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, 21-hour, 57-minute period from Monday, 28 September 2020 at 02:02 UTC to Friday, 02 October 2020 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:
[3948] best,buy [2555] pre,order [2481] steelbook,case [2425] yakuza,dragon [2422] dragon,best [2367] videogamedeals,pre [2363] order,yakuza [2360] buy,receive [2360] receive,exclusive [2360] exclusive,bonus Top Word Pairs in Tweet in G1:
[2468] best,buy [2288] pre,order [2285] videogamedeals,pre [2279] order,yakuza [2279] yakuza,dragon [2279] dragon,best [2279] buy,receive [2279] receive,exclusive [2279] exclusive,bonus [2279] bonus,steelbook Top Word Pairs in Tweet in G2:
[116] best,buy [90] mmpadellan,bestbuy [73] blu,ray [72] demon,slayer [72] slayer,kimetsu [72] kimetsu,yaiba [71] yaiba,standard [71] standard,edition [71] edition,blu [71] ray,part Top Word Pairs in Tweet in G3:
[917] best,buy [559] 99,best [145] ps4,xbo [139] steelbook,case [133] 39,99 [132] xbo,99 [120] fire,emblem [120] emblem,warriors [110] blade,getting [110] getting,4k Top Word Pairs in Tweet in G4:
[257] fox,news [236] news,sponsors [232] collateral,damage [229] geraldo,rivera [228] taylor,collateral [228] damage,drug [228] drug,war [227] fox,news' [227] news',geraldo [227] rivera,breonna Top Word Pairs in Tweet in G5:
[85] best,buy [20] #walmart,#bestbuy [18] #bestbuy,#target [18] 00,sale [18] 00,#bestbuy [17] #playstation5,#ps5 [17] #ps5,#playstation [17] #playstation,#preorder [17] #preorder,#gamestop [17] #gamestop,#walmart Top Word Pairs in Tweet in G6:
[200] best,buy [182] animal,crossing [135] nintendo,switch [132] special,edition [131] crossing,horizons [130] edition,animal [130] horizons,nintendo [127] acworldblog,special [96] stock,best [96] #acnh,#ad Top Word Pairs in Tweet in G7:
[36] chance,win [35] win,cuisinart [35] waffle,maker [34] today,last [34] last,chance [34] cuisinart,waffle [34] maker,bestbuycanada [34] bestbuycanada,entering [34] entering,blog [34] blog,look Top Word Pairs in Tweet in G8:
[17] scottmorrisonmp,pt9 [17] pt9,rtcsnv [17] rtcsnv,nyctsubway [17] nyctsubway,nyctbus [17] nyctbus,pathtrain [17] pathtrain,vegas [17] vegas,nv [17] nv,strip [17] strip,downtown [17] downtown,southpointlv Top Word Pairs in Tweet in G9:
[51] haunted,99 [50] grab,copy [48] book,haunted [48] 99,weekend [48] weekend,grab [45] thanks,book [29] jgmacleodauthor,thanks [23] copy,#sale [23] #sale,#bestbuy [23] #bestbuy,#kindle Top Word Pairs in Tweet in G10:
[15] legendarily,heroic [15] heroic,stand [15] stand,#greeks [15] #greeks,against [15] against,#persians [15] #persians,300 [15] 300,directed [15] directed,zacksnyder [15] zacksnyder,debuts [15] debuts,#4kultrahd Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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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:
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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:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: