The graph represents a network of 4,291 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, 17 February 2019 at 22:44 UTC.
The requested start date was Sunday, 17 February 2019 at 01:01 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 7-day, 5-hour, 32-minute period from Saturday, 09 February 2019 at 19:27 UTC to Sunday, 17 February 2019 at 00:59 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 : 4291
Unique Edges : 5268
Edges With Duplicates : 3133
Total Edges : 8401
Number of Edge Types : 3
Mentions : 6012
Replies to : 152
Tweet : 2237
Self-Loops : 2237
Reciprocated Vertex Pair Ratio : 0.0390852390852391
Reciprocated Edge Ratio : 0.0752300920368147
Connected Components : 1145
Single-Vertex Connected Components : 722
Maximum Vertices in a Connected Component : 1672
Maximum Edges in a Connected Component : 4549
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.452943
Graph Density : 0.000271506633659978
Modularity : 0.612271
NodeXL Version : 1.0.1.408
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[168] womenshealth,ladieshealth [119] women,s [109] health,womenshealth [107] healthy,living [106] women's,health [103] avoid,ultra [103] ultra,processed [103] processed,foods [103] foods,healthy [103] living,cooking Top Word Pairs in Tweet in G1:
[45] https,t [45] t,co [36] menshealth,womenshealth [30] women's,health [27] menopause,womenshealth [26] health,womenshealth [23] womenshealth,health [21] women,womenshealth [20] women,s [19] health,ウィメンズヘルス Top Word Pairs in Tweet in G2:
[76] thehearttruth,womenshealth [67] nih,nih_nhlbi [66] nih_nhlbi,thehearttruth [56] nih,thehearttruth [54] twitter,chat [53] hosting,twitter [49] nih_nhlbi,nih [43] heart,disease [43] hhsgov,hosting [40] chat,nih Top Word Pairs in Tweet in G3:
[12] nicole_staal,deliliaomalley [10] womenshealth,fbi [10] fbi,veterans [10] alina__iv,calais_brit [10] calais_brit,nicole_staal [10] deliliaomalley,cindisplace [10] cindisplace,mulhollandleda [10] mulhollandleda,reaidonnasiciiy [10] cherokeesher2,mooncatadams [9] gallaecian,alina__iv Top Word Pairs in Tweet in G4:
[104] healthy,living [102] avoid,ultra [102] ultra,processed [102] processed,foods [102] foods,healthy [102] living,cooking [102] cooking,lgus [102] lgus,convection [102] convection,oven [102] oven,healthyliving Top Word Pairs in Tweet in G5:
[61] fab,weekend [61] weekend,reading [61] reading,lancetwomen [61] lancetwomen,very [61] very,pleased [61] pleased,announce [61] announce,georgeinstitute [61] georgeinstitute,uniofoxford [61] uniofoxford,looking [60] kelly_thompson_,fab Top Word Pairs in Tweet in G6:
[26] telling,very [26] very,important [26] important,development [26] development,preventative [26] preventative,health [26] health,first [26] first,cervical [26] cervical,smear [26] smear,tests [26] tests,brilliant Top Word Pairs in Tweet in G7:
[4] 30,day [4] day,fitness [4] fitness,challenge [4] challenge,sculpt [4] sculpt,body [4] body,head [4] head,toe [2] day,womenshealthaus [2] 7,healthy [2] healthy,ingredients Top Word Pairs in Tweet in G8:
[13] new,acog [12] az,house [11] accreta,diabetes [11] diabetes,preeclampsia [11] preeclampsia,deliver [8] deliver,find [8] find,here [8] here,summary [8] summary,new [8] acog,guideline Top Word Pairs in Tweet in G9:
[3] female,body [3] 2017,18 [2] health,womenshealth [2] womenshealth,menshealth [2] obesity,effects [2] effects,female [2] fun,girls [2] angkor,wat [2] wat,half [2] half,marathon Top Word Pairs in Tweet in G10:
[26] lovemattersinfo,oowomaniya [20] yadavvithika,arretweets [20] arretweets,pld_india [20] pld_india,thepleasureproj [19] oowomaniya,youthkiawaaz [13] youthkiawaaz,youthbolpoll [13] youthbolpoll,yadavvithika [12] thepleasureproj,womenshealth_in [9] pinthecreep,endometriosis [9] endometriosis,womenite Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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