The graph represents a network of 4,126 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, 25 August 2019 at 16:54 UTC.
The requested start date was Sunday, 25 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 8-day, 22-hour, 7-minute period from Friday, 16 August 2019 at 01:51 UTC to Saturday, 24 August 2019 at 23:58 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 : 4126
Unique Edges : 4504
Edges With Duplicates : 2882
Total Edges : 7386
Number of Edge Types : 3
Mentions : 5043
Tweet : 2160
Replies to : 183
Self-Loops : 2160
Reciprocated Vertex Pair Ratio : 0.0324753427952851
Reciprocated Edge Ratio : 0.0629077353215284
Connected Components : 1039
Single-Vertex Connected Components : 613
Maximum Vertices in a Connected Component : 1610
Maximum Edges in a Connected Component : 3607
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 7.911647
Graph Density : 0.000252177617180041
Modularity : 0.607966
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[266] computer,vision [247] getting,pair [247] pair,quality [247] quality,#computer [247] #computer,#glasses [240] vision,syndrome [221] dealing,computer [221] syndrome,takes [221] takes,action [221] action,part Top Word Pairs in Tweet in G1:
[93] #womenshealth,#reproductivehealth [81] #reproductivehealth,#maternalmortality [50] #menshealth,#womenshealth [44] learn,more [32] women's,health [24] check,out [24] #womenshealth,#menshealth [21] #womenshealth,#health [20] #health,#womenshealth [19] women,s Top Word Pairs in Tweet in G2:
[265] computer,vision [246] getting,pair [246] pair,quality [246] quality,#computer [246] #computer,#glasses [239] vision,syndrome [220] dealing,computer [220] syndrome,takes [220] takes,action [220] action,part Top Word Pairs in Tweet in G3:
[22] #hearthealth,#womenshealth [21] film,done [21] done,subscribe [21] subscribe,hear [21] hear,coming [21] coming,premiere [21] premiere,#hearthealth [20] msdiagnosedfilm,film [20] #womenshealth,#ms [10] t,wait Top Word Pairs in Tweet in G4:
[23] #breastfeeding,employees [18] check,out [18] supporting,nursing [17] cost,effective [17] nursing,moms [14] womenshealth,supporting [14] moms,work [12] simple,cost [11] a1,#breastfeeding [11] employees,uncomfortable Top Word Pairs in Tweet in G5:
[19] citizensfedup,cherokeesher2 [18] co_rapunzel4,citizensfedup [18] cherokeesher2,mooncatadams [18] #womenshealth,#fbi [16] mooncatadams,agavecorn [14] realdonaldtrump,co_rapunzel4 [14] agavecorn,gallaecia [14] gallaecia,#womenshealth [13] restlessnews,realdonaldtrump [13] #fbi,#vete Top Word Pairs in Tweet in G6:
[14] #menopause,#womenshealth [13] agree,more [13] more,statement [13] statement,doing [13] doing,great [13] great,work [13] work,around [13] around,#menopause [13] #menopause,gmpolice [13] gmpolice,line Top Word Pairs in Tweet in G7:
[3] many,cases [3] cases,uti [3] uti,one [3] one,more [3] more,standard [3] standard,antibiotics [3] antibiotics,longer [3] longer,work [3] work,eradicate [3] eradicate,infection Top Word Pairs in Tweet in G8:
[44] heard,takotsubo [44] takotsubo,cardiomyopathy [44] cardiomyopathy,broken [44] broken,heart [44] heart,syndrome [44] syndrome,#harvardhealth [44] #harvardhealth,#womenshealth [43] harvardhealth,heard [11] #ovariancysts,go [11] go,away Top Word Pairs in Tweet in G9:
[3] unpopular,opinion [2] womenshealth,womenshealthmag [2] join,deliberations [2] deliberations,22 [2] 22,aug [2] aug,iicdelhi [2] iicdelhi,healthcare [2] healthcare,india [2] india,series [2] series,crucial Top Word Pairs in Tweet in G10:
[199] #womenshealth,#ladieshealth [14] birth,control [14] #dementia,#womenshealth [13] #healthywomen,#womenshealth [13] #alzheimers,women [13] women,midlife [13] midlife,#stress [13] #stress,play [13] play,role [13] role,#dementia 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 G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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: