The graph represents a network of 4,600 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, 27 January 2022 at 20:28 UTC.
The requested start date was Thursday, 27 January 2022 at 01:01 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, 22-hour, 53-minute period from Saturday, 15 January 2022 at 02:06 UTC to Thursday, 27 January 2022 at 01:00 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 : 4600
Unique Edges : 3386
Edges With Duplicates : 10059
Total Edges : 13445
Number of Edge Types : 5
Tweet : 3023
Retweet : 3916
MentionsInRetweet : 4305
Mentions : 2095
Replies to : 106
Self-Loops : 3805
Reciprocated Vertex Pair Ratio : 0.0404
Reciprocated Edge Ratio : 0.0776624375240292
Connected Components : 1089
Single-Vertex Connected Components : 610
Maximum Vertices in a Connected Component : 2026
Maximum Edges in a Connected Component : 8154
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 8.031615
Graph Density : 0.000245894665191866
Modularity : 0.400116
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,600 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, 27 January 2022 at 20:28 UTC.
The requested start date was Thursday, 27 January 2022 at 01:01 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, 22-hour, 53-minute period from Saturday, 15 January 2022 at 02:06 UTC to Thursday, 27 January 2022 at 01:00 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:
[1216] #womenshealth,#womensfitness [1213] #naturalskincare,#madeinusa [1213] #madeinusa,#womensfashion [1213] #womensfashion,#womensart [1213] #womensart,#womenshealth [1213] #womensfitness,#womensshoes [1213] #womensshoes,#organicbeauty [1213] #organicbeauty,#yoga [650] nutralift2,#naturalskincare [650] #yoga,#jewel Top Word Pairs in Tweet in G1:
[139] schedule,yours [139] age,40 [138] remember,schedule [138] yours,#womenshealth [80] over,age [77] 40,remember [73] life,saving [71] mammograms,life [70] annual,mammograms [68] yearly,mammograms Top Word Pairs in Tweet in G2:
[122] crisis,#tigray [122] #allowaccesstotigray,#airdropfoodtotigray [121] humanitarian,crisis [121] #tigray,being [121] being,control [121] control,#allowaccesstotigray [121] #airdropfoodtotigray,#tigraycantwait [121] #tigraycantwait,hrw [97] hamlin,fistula [97] fistula,hospital Top Word Pairs in Tweet in G3:
[76] #womenshealth,#reproductivehealth [56] #reproductivehealth,#maternalmortality [42] infants,born [41] african,american [41] american,mothers [41] mothers,dying [41] non,hispanic [41] hispanic,white [41] white,mothers [39] women,die Top Word Pairs in Tweet in G4:
[65] cervical,cancer [21] breast,cancer [19] #cancer,#cervicalcancerawareness [15] early,detection [14] awareness,month [14] #cervicalcancer,#cancer [14] #cancerawareness,#health [13] learn,more [11] #gyncsm,#womenshealth [11] #womenshealth,#hpv Top Word Pairs in Tweet in G5:
[48] #drlakeisha,#obgyn [48] #obgyn,#womenshealth [46] good,morning [45] #womenshealth,#selflove [45] #selflove,#healthyliving [37] #healthyliving,#letsmove [37] #letsmove,#fittip [34] #fittip,#justbreathe [27] #justbreathe,#mindbodysoul [25] people,wishing Top Word Pairs in Tweet in G6:
[18] roe,wade [14] saturday's,49th [14] 49th,anniversary [14] anniversary,roe [14] wade,last [14] last,before [14] before,possibly [14] possibly,overturned [14] overturned,supreme [14] supreme,court Top Word Pairs in Tweet in G7:
[44] mission,critical [44] critical,funding [44] funding,women [44] women,#alzheimers [44] #alzheimers,research [44] research,#dementia [44] #dementia,#womenshealth [43] lead_coalition,mission [43] #womenshealth,buffytvssummer [17] women,#dementia Top Word Pairs in Tweet in G8:
[6] fab4screamie,pattikimble [6] pattikimble,network_gal [6] network_gal,perrigoat [6] perrigoat,robyn_chercrew [6] robyn_chercrew,prubesa [6] prubesa,jeeneree [6] jeeneree,shercosherrill [6] shercosherrill,donnajo1002 [5] jtdakota,fab4screamie [5] donnajo1002,1stcav_am Top Word Pairs in Tweet in G9:
[51] pumpkin,seed [51] seed,oil [41] take,advantage [35] oil,one [35] one,nutritional [35] nutritional,gems [35] gems,woman [35] woman,take [35] advantage,rich [35] rich,amino Top Word Pairs in Tweet in G10:
[46] women,deserve [30] matter,heard [30] heard,women [30] deserve,much [30] much,better [30] better,especially [30] especially,black [30] black,women [30] women,enough [30] enough,enough 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 G8:
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: