The graph represents a network of 4,674 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 Thursday, 30 September 2021 at 19:29 UTC.
The requested start date was Thursday, 30 September 2021 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 11-day, 16-hour, 16-minute period from Saturday, 18 September 2021 at 07:44 UTC to Thursday, 30 September 2021 at 00:00 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 : 4674
Unique Edges : 3495
Edges With Duplicates : 9503
Total Edges : 12998
Number of Edge Types : 5
Tweet : 3298
Retweet : 3557
MentionsInRetweet : 4142
Mentions : 1830
Replies to : 171
Self-Loops : 4019
Reciprocated Vertex Pair Ratio : 0.0422112706235269
Reciprocated Edge Ratio : 0.0810032894736842
Connected Components : 1280
Single-Vertex Connected Components : 764
Maximum Vertices in a Connected Component : 1528
Maximum Edges in a Connected Component : 5011
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 9.623156
Graph Density : 0.00022269428771754
Modularity : 0.399528
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,674 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 Thursday, 30 September 2021 at 19:29 UTC.
The requested start date was Thursday, 30 September 2021 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 11-day, 16-hour, 16-minute period from Saturday, 18 September 2021 at 07:44 UTC to Thursday, 30 September 2021 at 00:00 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 : womenshealth
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:
[1509] #womenshealth,#womensfitness [1495] #womensart,#womenshealth [1493] #naturalskincare,#madeinusa [1493] #madeinusa,#womensfashion [1493] #womensfashion,#womensart [1493] #womensfitness,#womensshoes [1493] #womensshoes,#organicbeauty [1493] #organicbeauty,#yoga [766] #yoga,#jewelry [766] #jewelry,#collagen Top Word Pairs in Tweet in G1:
[77] fitness,day [77] health,fitness [67] women's,health [64] women,health [41] #menshealth,#womenshealth [37] national,women's [28] national,women [27] learn,more [24] #womensrights,#womenshealth [22] today,national Top Word Pairs in Tweet in G2:
[47] blood,pressure [36] self,measured [36] measured,blood [33] pressure,smbp [23] womenshealth,#dyk [22] owh,self [22] fit,fun [22] fun,whether [22] whether,playing [22] playing,sport Top Word Pairs in Tweet in G3:
[272] #womenshealth,#reproductivehealth [232] #reproductivehealth,#maternalmortality [85] women,die [80] maternal,death [80] death,rate [79] pregnancy,childbirth [74] african,american [74] american,mothers [74] mothers,dying [74] non,hispanic Top Word Pairs in Tweet in G4:
[128] add'l,biozhena [128] biozhena,file [123] #ehealth,#obgyn [123] #obgyn,#impinv [123] #impinv,#vc [123] #vc,#obgyntwitter [123] #obgyntwitter,#emergingtech [123] #emergingtech,#fertility [123] #fertility,#precisionmedicine [123] #precisionmedicine,#womenshealth Top Word Pairs in Tweet in G5:
[35] rachelegross,nytimes [35] nytimes,delved [35] delved,obscure [35] obscure,debate [35] debate,annals [35] annals,anatomy [35] anatomy,tells [35] tells,very [34] very,ro [31] #women,#girls Top Word Pairs in Tweet in G6:
[14] thrilled,opportunity [14] opportunity,co [14] co,lecture [14] lecture,amazing [14] amazing,dr [14] dr,juliafiles [14] juliafiles,physician [14] physician,#fertility [14] #fertility,mayoclinic [13] #womensrights,#womenshealth Top Word Pairs in Tweet in G7:
[58] cloud,nine [58] nine,walk [58] #lagasse,#sneakers [58] #sneakers,molded [58] molded,memory [58] memory,foam [58] foam,insoles [58] insoles,entire [58] entire,body [58] body,supported Top Word Pairs in Tweet in G8:
[16] #gyncsm,#womenshealth [8] today,september [8] september,20th [8] 20th,world [8] world,gynecologic [8] gynecologic,oncology [8] oncology,day [8] day,follow [8] follow,along [8] along,worldgoday Top Word Pairs in Tweet in G9:
[5] men,really [5] really,know [5] know,menstruation [5] menstruation,study [5] study,intimina [5] intimina,tried [5] tried,answer [5] answer,question [5] question,results [4] women,health Top Word Pairs in Tweet in G10:
[19] co_rapunzel4,wildwillow65 [17] wildwillow65,donnajo1002 [17] donnajo1002,agavecorn [17] agavecorn,citizensfedup [17] citizensfedup,glennvotesblue [17] glennvotesblue,sharestruth [15] network_gal,trishbeme [10] theawkwardlefty,network_gal [10] palmerreport,co_rapunzel4 [10] sharestruth,mtnmd Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: