The graph represents a network of 2,896 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, 07 October 2022 at 18:14 UTC.
The requested start date was Friday, 07 October 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 5-day, 1-hour, 56-minute period from Friday, 30 September 2022 at 22:34 UTC to Thursday, 06 October 2022 at 00:31 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 : 2896
Unique Edges : 2632
Edges With Duplicates : 9195
Total Edges : 11827
Number of Edge Types : 5
Replies to : 817
Mentions : 1652
Retweet : 1922
MentionsInRetweet : 2818
Tweet : 4618
Self-Loops : 4664
Reciprocated Vertex Pair Ratio : 0.0228321593393248
Reciprocated Edge Ratio : 0.044644977440038
Connected Components : 333
Single-Vertex Connected Components : 152
Maximum Vertices in a Connected Component : 1887
Maximum Edges in a Connected Component : 5599
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.408625
Graph Density : 0.000502271014036393
Modularity : 0.319235
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 2,896 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, 07 October 2022 at 18:14 UTC.
The requested start date was Friday, 07 October 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 5-day, 1-hour, 56-minute period from Friday, 30 September 2022 at 22:34 UTC to Thursday, 06 October 2022 at 00:31 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:
[3213] #fashion,#lifestyle [3198] #lifestyle,ready [3196] ready,#pretty [1018] best,buy [455] geforce,rtx [387] weekly,reminder [387] reminder,insurrection [387] insurrection,corporate [387] corporate,interests [387] interests,given Top Word Pairs in Tweet in G1:
[134] smart,home [132] home,tech [130] actually,use [129] video,smart [129] tech,actually [129] use,#sponsored [129] #sponsored,bestbuy [128] mkbhd,video [105] mkbhd,bestbuy [58] best,buy Top Word Pairs in Tweet in G2:
[387] weekly,reminder [387] reminder,insurrection [387] insurrection,corporate [387] corporate,interests [387] interests,given [387] given,62 [387] 62,million [387] million,benefitting [387] benefitting,147 [387] 147,members Top Word Pairs in Tweet in G3:
[379] geforce,rtx [363] nvidia,geforce [204] bestbuy,nvidia [196] 99,link [196] link,atc [196] atc,#bestbuy [196] #bestbuy,#nvidia [196] #ad,ts [188] pci,express [181] stock,alert Top Word Pairs in Tweet in G4:
[159] best,buy [109] buy,#ad [65] 99,best [53] pre,order [38] master,detective [38] detective,archives [38] archives,rain [38] rain,code [32] #ad,amazon [30] 39,99 Top Word Pairs in Tweet in G5:
[62] ihear_direct,hearingassistus [58] innd,brands [58] hearing,aids [48] otc,hearing [47] brands,ihear_direct [47] hearingassistus,helping [47] helping,48m [47] 48m,americans [47] americans,hearing [47] hearing,loss Top Word Pairs in Tweet in G6:
[130] #スプリンターズs2022,最終予想 [130] 最終予想,中山の馬場 [130] 中山の馬場,枠の並び [130] 枠の並び,適性を見て穴であってもこの馬が自信の本命 [130] 適性を見て穴であってもこの馬が自信の本命,昨年のリベンジマッチです [130] 昨年のリベンジマッチです,土曜競馬のbestbuyは7人気1着 [130] 土曜競馬のbestbuyは7人気1着,勝負レースは3の2で中山は読めてる感 [130] 勝負レースは3の2で中山は読めてる感,黙って正座待機 [129] k_ba_life,#スプリンターズs2022 [129] 黙って正座待機,フォ Top Word Pairs in Tweet in G7:
[114] kirei,co [110] co,kireiandco [110] kireiandco,様よりクッションファンデーションマットをお試しさせて頂きました [110] 様よりクッションファンデーションマットをお試しさせて頂きました,ldkthebeauty10月号bestbuyと第１位受賞 [110] ldkthebeauty10月号bestbuyと第１位受賞,好みによって選べる2種類のケース [110] 好みによって選べる2種類のケース,乾燥しないマット質感 [109] mana9607,kirei [109] 乾燥しないマット質感,各55 [5] キレイアンドコー公式,kireiandco [5] kireiandco,様より Top Word Pairs in Tweet in G8:
[3213] #fashion,#lifestyle [3198] #lifestyle,ready [3196] ready,#pretty [226] black,buy1_best [200] long,sleeve [184] buy1_best,#love [182] love,lemons [179] #love,#lemons [169] klein,womens [166] calvin,klein Top Word Pairs in Tweet in G9:
[348] best,buy [114] locations,vary [108] online,stores [102] stores,locations [60] funko,pop [58] 99,release [56] 99,funko [53] source,best [53] buy,checker [52] checker,reason Top Word Pairs in Tweet in G10:
[3] american,psycho [3] bill626,_obimoo [3] _obimoo,s77tux [3] s77tux,elliek_eats [3] elliek_eats,jholland15 [3] jholland15,thewoodyatt [3] thewoodyatt,foxysnob [3] foxysnob,martincoleman3 [3] martincoleman3,papastoo81 [3] papastoo81,jamesgane Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
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:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: