The graph represents a network of 5,153 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, 31 March 2022 at 19:26 UTC.
The requested start date was Thursday, 31 March 2022 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 13-day, 23-hour, 22-minute period from Thursday, 17 March 2022 at 00:08 UTC to Wednesday, 30 March 2022 at 23:30 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 : 5153
Unique Edges : 3878
Edges With Duplicates : 9292
Total Edges : 13170
Number of Edge Types : 5
Retweet : 3299
MentionsInRetweet : 4747
Tweet : 3017
Mentions : 1907
Replies to : 200
Self-Loops : 3240
Reciprocated Vertex Pair Ratio : 0.0384893386338995
Reciprocated Edge Ratio : 0.0741256307638768
Connected Components : 1272
Single-Vertex Connected Components : 728
Maximum Vertices in a Connected Component : 2198
Maximum Edges in a Connected Component : 7819
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 7.667957
Graph Density : 0.000216473729950472
Modularity : 0.456562
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,153 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, 31 March 2022 at 19:26 UTC.
The requested start date was Thursday, 31 March 2022 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 13-day, 23-hour, 22-minute period from Thursday, 17 March 2022 at 00:08 UTC to Wednesday, 30 March 2022 at 23:30 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:
[356] #womenshealth,#womensfitness [351] #naturalskincare,#madeinusa [351] #madeinusa,#womensfashion [351] #womensfashion,#womensart [351] #womensart,#womenshealth [351] #womensfitness,#womensshoes [351] #womensshoes,#organicbeauty [349] #organicbeauty,#yoga [324] #womenshealth,#reproductivehealth [272] #yoga,#jewelry Top Word Pairs in Tweet in G1:
[68] need,#covidtest [51] #code,ailsa30 [51] #covidtest,#travel [50] ailsa30,#ad [50] #ad,need [46] #discountcode,#code [44] slim,down [43] #weighloss,#diettips [42] #menshealth,#womenshealth [42] mira,fertility Top Word Pairs in Tweet in G2:
[33] period,pains [29] women,health [28] pains,explained [28] explained,believe [28] believe,women [28] women,#superhuman [28] #superhuman,full [28] full,video [28] video,stitched [28] stitched,the_female_lead Top Word Pairs in Tweet in G3:
[37] women's,health [32] full,story [30] steelsky,ventures [30] ventures,raises [30] raises,72m [30] 72m,inaugural [30] inaugural,fund [30] fund,invest [30] invest,women's [30] health,full Top Word Pairs in Tweet in G4:
[15] hiv,aids [14] physical,activity [13] girls,hiv [11] lower,risk [11] risk,#type2diabetes [11] #type2diabetes,getting [11] getting,30 [11] 30,minutes [11] minutes,physical [11] activity,days Top Word Pairs in Tweet in G5:
[316] #womenshealth,#reproductivehealth [268] #reproductivehealth,#maternalmortality [98] women,die [94] infants,born [92] pregnancy,childbirth [92] african,american [92] american,mothers [92] mothers,dying [92] non,hispanic [92] hispanic,white Top Word Pairs in Tweet in G6:
[118] good,work [118] work,millihill [118] millihill,51 [118] 51,uk [118] uk,pop [118] pop,born [118] born,assigned [118] assigned,woman [118] woman,birth [118] birth,circa Top Word Pairs in Tweet in G7:
[44] #womensrunningcommunity,#womenempowerment [38] women,achievers [33] #womenempowerment,#womensupportwomen [28] #womensmonth,#womeninspiringwomen [27] #womeninspiringwomen,#womensrunningcommunity [26] #womensupportwomen,#women [26] #women,#strongwomen [26] #strongwomen,#empoweringwomen [26] #empoweringwomen,#womenownedbusiness [26] #womenownedbusiness,#womendress Top Word Pairs in Tweet in G8:
[351] #womenshealth,#womensfitness [349] #naturalskincare,#madeinusa [349] #madeinusa,#womensfashion [349] #womensfashion,#womensart [349] #womensart,#womenshealth [349] #womensfitness,#womensshoes [349] #womensshoes,#organicbeauty [349] #organicbeauty,#yoga [272] #yoga,#jewelry [272] #jewelry,#collagen Top Word Pairs in Tweet in G9:
[15] cute,psycho [15] psycho,women [15] women,duped [15] duped,believing [15] believing,re [15] re,mentally [15] mentally,ill [15] ill,brilliance [15] brilliance,drjesstaylor [15] drjesstaylor,#mentalhealth Top Word Pairs in Tweet in G10:
[55] veterans,day [55] warriors,served [55] served,vietnam [54] today,national [53] day,honors [53] honors,warriors [44] national,#vietnamwar [44] #vietnamwar,veterans [44] vietnam,including [44] including,usnavy Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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 G5:
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Top Tweeters in G10: