The graph represents a network of 137 Twitter users whose tweets in the requested range contained "accuchek", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 24 June 2019 at 04:26 UTC.
The requested start date was Monday, 24 June 2019 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 24-day, 16-hour, 47-minute period from Wednesday, 29 May 2019 at 13:20 UTC to Sunday, 23 June 2019 at 06:08 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 : 137
Unique Edges : 163
Edges With Duplicates : 194
Total Edges : 357
Number of Edge Types : 3
Tweet : 63
Mentions : 196
Replies to : 98
Self-Loops : 63
Reciprocated Vertex Pair Ratio : 0.142857142857143
Reciprocated Edge Ratio : 0.25
Connected Components : 14
Single-Vertex Connected Components : 8
Maximum Vertices in a Connected Component : 114
Maximum Edges in a Connected Component : 277
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.78468
Graph Density : 0.0098754830399313
Modularity : 0.341029
NodeXL Version : 1.0.1.413
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[66] accu,chek [38] #accuchek,ebay [34] check,out [23] brand,new [21] new,accu [18] chek,fastclix [18] 2022,free [17] #doc,#diabetes [17] 100,2 [17] 2,lancets Top Word Pairs in Tweet in G1:
[9] #dblog,#doc [9] #diabetes,rk [8] #doc,#diabetes [7] accuchek_us,thank [5] check,out [5] great,day [4] inspiration,exchange [4] exchange,diabetes [4] diabetes,moments [4] type,1 Top Word Pairs in Tweet in G2:
[9] exciting,news [9] news,regarding [9] regarding,european [9] european,travel [9] travel,insulin [9] insulin,pump [9] pump,cgm [9] cgm,freestyle [9] freestyle,libre [8] semarroy72,exciting Top Word Pairs in Tweet in G3:
[15] estoy,segura [15] segura,ayudan [15] ayudan,muchos [15] muchos,amigos [15] amigos,accuchek_us [15] accuchek_us,accu [15] accu,chek [15] chek,argentina [15] argentina,van [15] van,dar Top Word Pairs in Tweet in G4:
[4] today,learn [4] learn,more [4] more,cherise [4] cherise,shockley [4] shockley,sweetercherise [4] sweetercherise,new [4] new,accuchek_us [4] accuchek_us,#diabetesmoments [4] #diabetesmoments,podcast [4] podcast,catch Top Word Pairs in Tweet in G5:
[2] #gbdoc,prefer [2] prefer,insulinx [2] insulinx,accuchek [2] accuchek,expert [2] expert,mdi [2] mdi,use [2] use,thanks Top Word Pairs in Tweet in G6:
[38] #accuchek,ebay [35] accu,chek [29] check,out [23] brand,new [21] new,accu [18] 2022,free [17] chek,fastclix [17] 100,2 [17] 2,lancets [17] exp,2022 Top Word Pairs in Tweet in G8:
[4] accu,chek [3] chek,wishes [2] opt,healthier [2] healthier,food [2] food,options [2] options,sehri [2] sehri,iftaar [2] iftaar,ramadan [2] ramadan,#accuchek [2] eid,mubarak Top Word Pairs in Tweet in G9:
[2] accuchek_us,accuchek_ca [2] know,more Top Word Pairs in Tweet in G10:
[10] #t1d,#typeone [10] #typeone,#typeonediabetes [10] #mysugr,#makediabetessuckless [9] #doc,#diabetes [9] #diabetes,#t1d [8] #insulin,#insulindependent [8] #makediabetessuckless,#doc [7] #typeonediabetes,#mdi [7] #mdi,#insulin [5] mysugr_us,mysugr Top Replied-To in Entire Graph:
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Top Replied-To in G7:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: