The graph represents a network of 8 399 Twitter users whose recent tweets contained "antiaging OR anti-aging", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18 000 tweets. The network was obtained from Twitter on Wednesday, 22 January 2020 at 09:31 UTC.
The tweets in the network were tweeted over the 8-day, 5-hour, 47-minute period from Tuesday, 14 January 2020 at 02:32 UTC to Wednesday, 22 January 2020 at 08:19 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 : 8413
Unique Edges : 8328
Edges With Duplicates : 8795
Total Edges : 17123
Number of Edge Types : 5
Mentions : 2956
Tweet : 5930
Replies to : 3478
Retweet : 3448
MentionsInRetweet : 1311
Self-Loops : 6042
Reciprocated Vertex Pair Ratio : 0,0501152073732719
Reciprocated Edge Ratio : 0,0954470652770159
Connected Components : 2743
Single-Vertex Connected Components : 1830
Maximum Vertices in a Connected Component : 1547
Maximum Edges in a Connected Component : 5200
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 3,265908
Graph Density : 0,000103037783327763
Modularity : 0,468395
NodeXL Version : 1.0.1.423
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=220196
Data Import : The graph represents a network of 8 399 Twitter users whose recent tweets contained "antiaging OR anti-aging", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18 000 tweets. The network was obtained from Twitter on Wednesday, 22 January 2020 at 09:31 UTC.
The tweets in the network were tweeted over the 8-day, 5-hour, 47-minute period from Tuesday, 14 January 2020 at 02:32 UTC to Wednesday, 22 January 2020 at 08:19 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 : TwitterSearch
Graph Term : antiaging OR anti-aging
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:
[5335] anti,aging [1544] さん,rtありがとうございます [1544] canadelを今年もよろしくお願いします,新商品情報はこちらから [1543] rtありがとうございます,結果は残念 [1543] 結果は残念,はずれ [1543] はずれ,7まで毎日応募できますので [1543] 7まで毎日応募できますので,是非またチャレンジしてください [1543] 是非またチャレンジしてください,canadelを今年もよろしくお願いします [705] skin,care [509] ต,วน Top Word Pairs in Tweet in G1:
[1951] anti,aging [162] skin,care [148] hyaluronic,acid [100] aging,serum [90] aging,skin [77] anti,wrinkle [71] wa,0838 [71] 0838,1949 [71] 1949,7899 [67] aging,cream Top Word Pairs in Tweet in G2:
[1544] さん,rtありがとうございます [1544] canadelを今年もよろしくお願いします,新商品情報はこちらから [1543] rtありがとうございます,結果は残念 [1543] 結果は残念,はずれ [1543] はずれ,7まで毎日応募できますので [1543] 7まで毎日応募できますので,是非またチャレンジしてください [1543] 是非またチャレンジしてください,canadelを今年もよろしくお願いします [18] 22,本日 [18] 本日,canadelから新商品登場 [18] canadelから新商品登場,カナデル Top Word Pairs in Tweet in G3:
[492] ต,วน [334] anti,aging [248] ท,ส [247] รางว,ล [247] เป,นเซร [247] ใช,แล [247] ข,นจร [246] แจก,lancôme [246] lancôme,advanced [246] advanced,genifique Top Word Pairs in Tweet in G4:
[179] anti,aging [76] resistance,aging [75] loss,brown [75] brown,adipose [75] adipose,tissue [75] tissue,bat [75] bat,part [75] part,aging [75] aging,recently [75] recently,discovered Top Word Pairs in Tweet in G5:
[450] skin,care [449] organic,skin [373] fresh,natural [373] natural,organic [282] #organicskincare,#naturalskincare [276] #antiaging,#organicskincare [275] #skincare,#skincareroutine [271] retinol,cream [271] cream,hyaluronic [271] hyaluronic,acid Top Word Pairs in Tweet in G6:
[275] 200117,seohyun [275] seohyun,biotherm [275] biotherm,life [275] life,plankton [275] plankton,elixir [275] elixir,anti [275] anti,aging [275] aging,serum [275] serum,launching [275] launching,event Top Word Pairs in Tweet in G7:
[244] slow,aging [241] health,benefits [239] anti,inflammatory [238] nutrient,rich [237] cauliflower,versatile [237] versatile,low [237] low,carb [237] carb,veggie [237] veggie,many [237] many,health Top Word Pairs in Tweet in G8:
[172] ผ,วหน [88] anti,aging [85] ได,ลองใช [85] ลองใช,smooth [85] smooth,gold [85] gold,24k [85] 24k,hydroboost [85] hydroboost,anti [85] aging,supreme [85] supreme,serum Top Word Pairs in Tweet in G9:
[88] anti,aging [35] weight,loss [35] loss,diet [35] diet,exercises [35] exercises,supplements [35] supplements,food [35] food,recipe [35] recipe,sucess [35] sucess,viral [35] viral,fitness Top Word Pairs in Tweet in G10:
[55] discovering,avvenice [55] avvenice,official [55] official,partner [55] partner,secura [55] secura,vanitas [55] vanitas,#securavanitas [55] #securavanitas,#illuminating [55] #illuminating,#gold [55] #gold,#illuminante [55] #illuminante,#bio Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G7:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G7:
Top Mentioned in G9:
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: