The graph represents a network of 3,573 Twitter users whose tweets in the requested range contained "womenshealth", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 11 August 2019 at 16:53 UTC.
The requested start date was Sunday, 11 August 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 23-hour, 43-minute period from Sunday, 28 July 2019 at 00:09 UTC to Saturday, 10 August 2019 at 23:53 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 : 3573
Unique Edges : 3762
Edges With Duplicates : 2214
Total Edges : 5976
Number of Edge Types : 3
Mentions : 3752
Tweet : 2115
Replies to : 109
Self-Loops : 2115
Reciprocated Vertex Pair Ratio : 0.0305838739573679
Reciprocated Edge Ratio : 0.0593525179856115
Connected Components : 1048
Single-Vertex Connected Components : 633
Maximum Vertices in a Connected Component : 1015
Maximum Edges in a Connected Component : 2170
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 9.373989
Graph Density : 0.000261385550268296
Modularity : 0.607356
NodeXL Version : 1.0.1.418
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[395] à,à [250] #womenshealth,#ladieshealth [214] donâ,t [157] #womenshealth,expert [156] world,renowned [156] renowned,theologian [156] theologian,#womenshealth [156] expert,#barnabyjoyce [156] #barnabyjoyce,declares [156] two,doctors Top Word Pairs in Tweet in G1:
[217] à,à [49] learn,more [47] #menshealth,#womenshealth [44] ã,ã [37] ø,ù [34] ø,ø [30] women's,health [29] #health,#womenshealth [29] ù,ø [27] check,out Top Word Pairs in Tweet in G2:
[250] #womenshealth,#ladieshealth [84] enter,#win [84] #win,pair [81] pair,computer [81] computer,protection [81] protection,glasses [81] glasses,prevent [81] prevent,computer [81] computer,vision [81] vision,syndrome Top Word Pairs in Tweet in G3:
[156] world,renowned [156] renowned,theologian [156] theologian,#womenshealth [156] #womenshealth,expert [156] expert,#barnabyjoyce [156] #barnabyjoyce,declares [156] two,doctors [156] t,equal [155] peterwmurphy1,world [153] declares,â Top Word Pairs in Tweet in G4:
[20] tips,help [20] repellent,statement [20] statement,#womenshealth [20] #womenshealth,#hivprevention [20] #hivprevention,#prep [20] #prep,cisgender [20] cisgender,women [20] women,form [20] form,less [20] less,7 Top Word Pairs in Tweet in G5:
[10] huge,thanks [10] thanks,local [10] local,mp [10] mp,marshadecordova [10] marshadecordova,supporting [10] supporting,petition [10] petition,together [10] together,make [10] make,happen [10] happen,please Top Word Pairs in Tweet in G6:
[17] healthy,tips [17] tips,observations [17] observations,notes [17] notes,helping [17] helping,people [17] people,stay [17] stay,healthy [17] healthy,goal [17] goal,ours [17] ours,#healthytips Top Word Pairs in Tweet in G7:
[16] vaginal,mesh [16] mesh,scandal [16] scandal,broken [16] broken,women's [16] women's,lives [16] lives,globally [16] globally,surgeons [16] surgeons,regulators [16] regulators,government's [16] government's,accepting Top Word Pairs in Tweet in G8:
[15] facial,hair [15] hair,remover [15] remover,9 [15] 9,49 [15] 49,use [15] use,code [15] code,x8bzhswd [15] x8bzhswd,50 [13] 50,valid [13] valid,now Top Word Pairs in Tweet in G9:
[10] #genetics,clues [10] clues,#alzheimers [10] #alzheimers,affects [10] affects,women [10] women,more [10] more,men [10] men,#dementia [10] #dementia,#womenshealth [9] lead_coalition,#genetics [9] #womenshealth,reginâ Top Word Pairs in Tweet in G10:
[6] reasons,#medicine [6] #medicine,androcentric [6] androcentric,change [6] change,shallow [5] shallow,medicine [5] medicine,#precisionmedicine [4] tickets,going [4] going,quick [4] quick,going [4] going,such Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: