The graph represents a network of 4,417 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, 16 September 2021 at 19:30 UTC.
The requested start date was Thursday, 16 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, 8-hour, 55-minute period from Saturday, 04 September 2021 at 15:01 UTC to Wednesday, 15 September 2021 at 23:56 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 : 4417
Unique Edges : 3310
Edges With Duplicates : 9950
Total Edges : 13260
Number of Edge Types : 5
Retweet : 3533
MentionsInRetweet : 3925
Tweet : 3292
Replies to : 233
Mentions : 2277
Self-Loops : 4144
Reciprocated Vertex Pair Ratio : 0.0334709845685721
Reciprocated Edge Ratio : 0.0647739221871714
Connected Components : 1110
Single-Vertex Connected Components : 659
Maximum Vertices in a Connected Component : 1848
Maximum Edges in a Connected Component : 8749
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 7.713461
Graph Density : 0.000243777746060182
Modularity : 0.378395
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,417 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, 16 September 2021 at 19:30 UTC.
The requested start date was Thursday, 16 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, 8-hour, 55-minute period from Saturday, 04 September 2021 at 15:01 UTC to Wednesday, 15 September 2021 at 23:56 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:
[1896] #womenshealth,#womensfitness [1894] #womensart,#womenshealth [1893] #naturalskincare,#madeinusa [1893] #madeinusa,#womensfashion [1893] #womensfashion,#womensart [1893] #womensfitness,#womensshoes [1893] #womensshoes,#organicbeauty [1893] #organicbeauty,#yoga [973] #yoga,#jewelry [973] #jewelry,#collagen Top Word Pairs in Tweet in G1:
[38] ø,ø [29] ø,ù [28] women's,health [27] ãƒ,ム[24] learn,more [22] ù,ø [21] #women,#womenshealth [21] #womensrights,#womenshealth [20] #menshealth,#womenshealth [18] read,more Top Word Pairs in Tweet in G2:
[34] womenshealth,#dyk [18] learn,more [18] 2021,conference [18] health,women [17] prepare,2021 [17] conference,health [17] women,orwh [17] orwh,seeks [17] seeks,comments [17] comments,scientific Top Word Pairs in Tweet in G3:
[212] add'l,biozhena [212] biozhena,file [141] file,downloads [134] #ehealth,#obgyn [134] #obgyn,#impinv [134] #impinv,#vc [134] #vc,#obgyntwitter [134] #obgyntwitter,#emergingtech [134] #emergingtech,#fertility [134] #fertility,#precisionmedicine Top Word Pairs in Tweet in G4:
[161] #lagasse,#shoes [150] body,core [124] #shoes,support [112] #win,#emerilfootware [112] #emerilfootware,#lagasse [112] support,balance [112] balance,body [112] core,during [104] enter,#win [102] during,#walking Top Word Pairs in Tweet in G5:
[88] aprildryan,co_rapunzel4 [87] #texas,#texasabortionlaw [80] #womensrights,#womenshealth [57] #texasabortionlaw,#womensrights [55] cartoon,#texas [50] #womenshealth,#womensrights [47] #laborday,cartoon [47] #texasabortionlaw,#texaswaronwomen [47] #texaswaronwomen,#womenshealth [47] #womensrights,aprildryan Top Word Pairs in Tweet in G6:
[41] health,meeting [31] menopause,specialist [25] womenâ,health [25] search,name [25] name,menopause [24] feature,launched [24] launched,today [24] today,search [24] specialist,search [24] search,bms Top Word Pairs in Tweet in G7:
[39] hiring,black [39] health,study [39] study,apply [39] apply,oct [39] oct,please [39] please,retweet [39] retweet,#epitwitter [39] #epitwitter,#cancerresearch [37] kbertrand,hiring [21] black,womenâ Top Word Pairs in Tweet in G8:
[25] awareness,month [24] good,morning [14] people,wishing [14] pinktearoom,good [13] polycystic,ovarian [13] ovarian,syndrome [13] syndrome,awareness [13] #pcos,#pcosaa [12] #pcosaa,#polycysticovariansyndrome [12] #50andfabulous,#getbackyoursparkle Top Word Pairs in Tweet in G9:
[6] summary,ajog_thegray [6] #meded,#foamed [5] #wcw,#womenshealth [4] ajog_thegray,study [4] severity,sars [4] sars,cov [4] cov,infection [4] infection,increased [4] increased,likelihood [4] likelihood,preeclampsia Top Word Pairs in Tweet in G10:
[15] early,detection [12] globally,women [12] women,undertake [12] undertake,more [12] more,unpaid [12] unpaid,work [12] work,men [12] men,women [12] women,#lmics [12] #lmics,more Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: