The graph represents a network of 4,862 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, 06 May 2021 at 19:28 UTC.
The requested start date was Thursday, 06 May 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 13-day, 23-hour, 43-minute period from Thursday, 22 April 2021 at 00:12 UTC to Wednesday, 05 May 2021 at 23:55 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 : 4862
Unique Edges : 4014
Edges With Duplicates : 7683
Total Edges : 11697
Number of Edge Types : 5
Tweet : 2798
Retweet : 2491
MentionsInRetweet : 3745
Mentions : 2443
Replies to : 220
Self-Loops : 2929
Reciprocated Vertex Pair Ratio : 0.0480274442538593
Reciprocated Edge Ratio : 0.0916530278232406
Connected Components : 1248
Single-Vertex Connected Components : 752
Maximum Vertices in a Connected Component : 2086
Maximum Edges in a Connected Component : 6408
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 7.752728
Graph Density : 0.000232671475577196
Modularity : 0.483577
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 4,862 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, 06 May 2021 at 19:28 UTC.
The requested start date was Thursday, 06 May 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 13-day, 23-hour, 43-minute period from Thursday, 22 April 2021 at 00:12 UTC to Wednesday, 05 May 2021 at 23:55 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:
[241] #womenshealth,#reproductivehealth [204] #reproductivehealth,#maternalmortality [197] women,health [172] learn,more [156] women's,health [151] #menshealth,#womenshealth [128] add'l,biozhena [128] biozhena,files [119] files,downloads [116] #women,#womenshealth Top Word Pairs in Tweet in G1:
[100] #menshealth,#womenshealth [48] learn,more [43] women's,health [41] #men,#women [41] #women,#couples [38] link,bio [35] #lgbt,#menshealth [33] #womenshealth,#patientcare [29] #obgyn,#womenshealth [27] click,link Top Word Pairs in Tweet in G2:
[35] un_women,unwomenwatch [31] unwomenwatch,womenofburma [29] womenofburma,womenshealth [29] womenshealth,un_hrc [29] un_hrc,unhumanright [29] unhumanright,icj_org [28] milkteamm_mtam,un_women [20] 12,use [19] warning,signs [17] twitter,chat Top Word Pairs in Tweet in G3:
[35] trust,patients [35] patients,telling [35] telling,truth [35] truth,right [35] right,far [35] far,more [35] more,wrong [35] wrong,dr [34] erinsandersnp,trust [34] dr,ranaawdis Top Word Pairs in Tweet in G4:
[79] #drlakeisha,#obgyn [79] #obgyn,#womenshealth [79] #womenshealth,#selflove [78] #selflove,#healthyliving [68] #healthyliving,#letsmove [68] #letsmove,#fittip [68] #fittip,#justbreathe [43] #justbreathe,#mindbodysoul [41] #mindbodysoul,#positivity [35] check,wonderful Top Word Pairs in Tweet in G5:
[13] drmelissasimon,#acog2021 [12] #meded,#foamed [12] join,drmelissasimon [12] #acog2021,presentation [12] presentation,preventive [12] preventive,services [12] services,task [12] task,force [12] force,implement [11] nmgynecology,join Top Word Pairs in Tweet in G6:
[41] #dementia,#womenshealth [40] funding,women [40] women,#alzheimers [40] #alzheimers,research [40] research,mission [40] mission,critical [40] critical,#dementia [40] #womenshealth,doctorkim [39] lead_coalition,funding [23] #alzheimers,#womenshealth Top Word Pairs in Tweet in G7:
[13] #womenshealth,research [12] women,health [10] learn,more [9] change,way [8] #whamreport,whamnow [8] good,investment [8] #womenshealth,member [8] member,wham [8] going,change [7] research,good Top Word Pairs in Tweet in G8:
[17] #pmddpeeps,#pmddwarrior [17] #pmddwarrior,#womenshealth [15] #pmdd,#pmddpeeps [14] #periods,#menstrualhealth [12] #womenshealth,#hormonesensitivity [12] #hormonesensitivity,#periods [10] ftww_wales,thank [8] teal,support [8] support,#pmddawarenessmonth2021 [7] thank,disabilitywales Top Word Pairs in Tweet in G9:
[19] thank,everyone [19] everyone,read [19] read,shared [19] shared,commented [19] commented,thread [19] thread,lack [19] lack,access [19] access,menopause [18] drhannahshort,thank [18] menopause,premenstru Top Word Pairs in Tweet in G10:
[128] add'l,biozhena [128] biozhena,files [119] files,downloads [90] #impinv,#vc [88] #ehealth,#obgyn [88] #obgyn,#impinv [88] #vc,#obgyntwitter [88] #obgyntwitter,#emergingtech [88] #emergingtech,#fertility [88] #fertility,#precisionmedicine Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
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:
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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:
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Top Tweeters in G9:
Top Tweeters in G10: