The graph represents a network of 8,764 Twitter users whose recent tweets contained "Skin cancer", 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 Thursday, 10 June 2021 at 23:36 UTC.
The tweets in the network were tweeted over the 8-day, 5-hour, 8-minute period from Wednesday, 02 June 2021 at 18:09 UTC to Thursday, 10 June 2021 at 23:17 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 : 8764
Unique Edges : 8699
Edges With Duplicates : 858
Total Edges : 9557
Number of Edge Types : 5
Replies to : 1596
Mentions : 1423
Tweet : 1839
Retweet : 3896
MentionsInRetweet : 803
Self-Loops : 1865
Reciprocated Vertex Pair Ratio : 0.014324693042292
Reciprocated Edge Ratio : 0.0282447881640888
Connected Components : 2535
Single-Vertex Connected Components : 1183
Maximum Vertices in a Connected Component : 1203
Maximum Edges in a Connected Component : 1255
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 2.849039
Graph Density : 9.6811242114669E-05
Modularity : 0.825987
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 8,764 Twitter users whose recent tweets contained "Skin cancer", 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 Thursday, 10 June 2021 at 23:36 UTC.
The tweets in the network were tweeted over the 8-day, 5-hour, 8-minute period from Wednesday, 02 June 2021 at 18:09 UTC to Thursday, 10 June 2021 at 23:17 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 : Skin cancer
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:
[5716] skin,cancer [1094] mother,suffers [1094] suffers,skin [1094] economic,situation [1041] cancer,lost [1030] lost,little [1030] little,eye [1030] eye,due [1030] due,disease [1030] disease,ask Top Word Pairs in Tweet in G1:
[1050] skin,cancer [49] risk,skin [45] jesse,tyler [44] tyler,ferguson [38] deadly,skin [37] beautician,saved [37] saved,life [37] life,deadly [36] learn,more [35] protect,skin Top Word Pairs in Tweet in G2:
[1092] skin,cancer [1091] mother,suffers [1091] suffers,skin [1091] economic,situation [1027] cancer,lost [1027] lost,little [1027] little,eye [1027] eye,due [1027] due,disease [1027] disease,ask Top Word Pairs in Tweet in G3:
[539] mango,popular [539] popular,fruit [539] fruit,world [539] world,helps [539] helps,against [539] against,cancer [539] cancer,clears [539] clears,skin [539] skin,lowers [539] lowers,cholesterol Top Word Pairs in Tweet in G4:
[146] skin,cancer [142] more,die [139] psa,recently [139] recently,read [139] read,study [139] study,poc [139] poc,esp [139] esp,black [139] black,asian [139] asian,folks Top Word Pairs in Tweet in G5:
[133] cancer,cells [131] sunburn,damage [131] damage,dna [131] dna,cells [131] cells,repaired [131] repaired,skin [131] skin,cells [131] cells,essentially [131] essentially,commit [131] commit,suicide Top Word Pairs in Tweet in G6:
[251] skin,cancer [120] sun,exposure [119] doesn,cause [119] cause,skin [119] past,30 [119] 30,years [118] sun,doesn [118] cancer,sunscreens [118] sunscreens,past [118] years,increased Top Word Pairs in Tweet in G7:
[248] check,down [248] rates,down [124] current,cancer [124] cancer,epidemic [124] epidemic,nobody [124] nobody,gov [124] gov,nphet [124] nphet,discuss [124] discuss,breast [124] breast,check Top Word Pairs in Tweet in G8:
[101] skin,cancer [31] melanoma,skin [19] cammy,graham [19] graham,diagnosed [19] diagnosed,stage [19] stage,two [19] two,melanoma [19] cancer,march [19] march,raised [19] raised,785 Top Word Pairs in Tweet in G9:
[104] skin,cancer [99] cancer,check [99] check,treatment [99] rebate,38 [98] privatisation,stealth [98] stealth,245 [98] 245,skin [98] treatment,attracted [98] attracted,princely [98] princely,rebate Top Word Pairs in Tweet in G10:
[7] breast,cancer [5] skin,cancer [4] mercy,skin [3] pink,mercy [3] cancer,skin [3] 65_bit,iflashboy_ [3] iflashboy_,manmilk2 [2] bring,back [2] playoverwatch,hero [2] hero,unlocks Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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 G3:
Top Mentioned in G6:
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: