The graph represents a network of 4,099 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, 04 November 2021 at 19:25 UTC.
The requested start date was Thursday, 04 November 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, 23-hour, 45-minute period from Saturday, 23 October 2021 at 00:15 UTC to Thursday, 04 November 2021 at 00:00 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 : 4099
Unique Edges : 2654
Edges With Duplicates : 9984
Total Edges : 12638
Number of Edge Types : 5
Tweet : 3548
Retweet : 3466
MentionsInRetweet : 3678
Mentions : 1805
Replies to : 141
Self-Loops : 4401
Reciprocated Vertex Pair Ratio : 0.0402429764616553
Reciprocated Edge Ratio : 0.0773722627737226
Connected Components : 1081
Single-Vertex Connected Components : 631
Maximum Vertices in a Connected Component : 1434
Maximum Edges in a Connected Component : 7712
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 7.971701
Graph Density : 0.000244676325368792
Modularity : 0.349037
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,099 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, 04 November 2021 at 19:25 UTC.
The requested start date was Thursday, 04 November 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, 23-hour, 45-minute period from Saturday, 23 October 2021 at 00:15 UTC to Thursday, 04 November 2021 at 00:00 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:
[1940] #womensart,#womenshealth [1934] #womenshealth,#womensfitness [1932] #naturalskincare,#madeinusa [1932] #madeinusa,#womensfashion [1932] #womensfashion,#womensart [1932] #womensfitness,#womensshoes [1932] #womensshoes,#organicbeauty [1932] #organicbeauty,#yoga [1010] #yoga,#jewelry [1010] #jewelry,#collagen Top Word Pairs in Tweet in G1:
[135] age,40 [133] remember,schedule [133] schedule,yours [133] yours,#womenshealth [79] yearly,mammograms [71] life,saving [70] mammograms,life [68] over,age [68] 40,remember [66] older,remember Top Word Pairs in Tweet in G2:
[22] amazing,science [22] science,fact [22] fact,creation [22] creation,universe [22] universe,puzzle [22] puzzle,siddhyog [22] siddhyog,science [22] science,confirms [22] confirms,universe [22] universe,created Top Word Pairs in Tweet in G3:
[272] #womenshealth,#reproductivehealth [229] #reproductivehealth,#maternalmortality [85] maternal,death [85] death,rate [81] african,american [81] american,mothers [81] mothers,dying [81] non,hispanic [81] hispanic,white [81] white,mothers Top Word Pairs in Tweet in G4:
[9] potus,joebiden [5] vp,kamalaharris [4] join,weekly [4] weekly,talk [4] talk,periods [4] periods,session [4] session,facts [4] facts,empower [4] empower,yourself [4] yourself,empower Top Word Pairs in Tweet in G5:
[28] good,morning [24] pinktearoom,good [22] people,wishing [17] wishing,fabulous [16] #healthy,#weightlossjourney [15] more,more [15] more,people [15] people,suffering [15] suffering,burnout [15] burnout,mindful Top Word Pairs in Tweet in G6:
[53] today,day [50] forgotten,imprisoned [50] imprisoned,controlled [50] controlled,silenced [50] silenced,today [50] day,fight [50] fight,against [50] november,1st [49] today,monday [49] monday,today Top Word Pairs in Tweet in G7:
[89] hala,ayala [88] ayala,compassionate [88] compassionate,ardent [88] ardent,supporter [88] supporter,#womenshealth [88] #womenshealth,#womensrights [88] #womensrights,hala [88] hala,terry [88] terry,mcauliffe [87] petewest420,hala Top Word Pairs in Tweet in G8:
[15] friend,made [15] made,short [15] short,video [15] video,whereas [15] whereas,speaking [15] speaking,#womenshealth [15] #womenshealth,thanks [15] thanks,essayaghmarc [15] essayaghmarc,maasangela [14] sabouretcardio,friend Top Word Pairs in Tweet in G9:
[12] #menstruationmatters,#periodproblems [12] #periodproblems,#periodpositive [12] #periodpositive,#womenshealth [11] #theredcarefoundation,#period [11] #period,#menstruationmatters [11] #womenshealth,#menstrualhealth [10] pain,points [10] #menstrualhealth,#menstrualhygiene [10] #menstrualhygiene,#periodtalk [9] #periodtalk,#womenempowerment Top Word Pairs in Tweet in G10:
[22] #breastfeeding,help [22] help,prevent [22] prevent,cognitive [22] cognitive,decline [22] decline,uclahealth [22] uclahealth,#alzheimers [22] #alzheimers,#dementia [21] lead_coalition,#breastfeeding [21] #dementia,#womens [4] #podcast,episode Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
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: