The graph represents a network of 5,929 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, 17 March 2022 at 19:25 UTC.
The requested start date was Thursday, 17 March 2022 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 10-day, 4-hour, 29-minute period from Sunday, 06 March 2022 at 19:17 UTC to Wednesday, 16 March 2022 at 23:46 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 : 5929
Unique Edges : 4374
Edges With Duplicates : 9556
Total Edges : 13930
Number of Edge Types : 5
Retweet : 3640
MentionsInRetweet : 4898
Mentions : 2262
Replies to : 146
Tweet : 2984
Self-Loops : 3158
Reciprocated Vertex Pair Ratio : 0.047152273111374
Reciprocated Edge Ratio : 0.0900581020012911
Connected Components : 1572
Single-Vertex Connected Components : 973
Maximum Vertices in a Connected Component : 2457
Maximum Edges in a Connected Component : 7801
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 8.472634
Graph Density : 0.000176287599390812
Modularity : 0.471224
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,929 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, 17 March 2022 at 19:25 UTC.
The requested start date was Thursday, 17 March 2022 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 10-day, 4-hour, 29-minute period from Sunday, 06 March 2022 at 19:17 UTC to Wednesday, 16 March 2022 at 23:46 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:
[355] women's,health [319] women's,day [308] women,health [243] #womenshealth,#reproductivehealth [236] women,girls [196] hiv,aids [193] #reproductivehealth,#maternalmortality [192] international,women's [191] learn,more [175] girls,hiv Top Word Pairs in Tweet in G1:
[142] women's,day [120] schedule,yours [119] age,40 [119] remember,schedule [119] yours,#womenshealth [67] international,women's [67] women,day [64] over,age [64] 40,remember [63] mammograms,important Top Word Pairs in Tweet in G2:
[135] women,girls [122] hiv,aids [112] national,women [110] girls,hiv [102] awareness,day [100] aids,awareness [47] today,national [29] hiv,prevention [25] learn,more [25] day,role Top Word Pairs in Tweet in G3:
[26] gender,bias [21] bias,medicine [20] advancing,#womenshealth [17] #womenshealth2022,launches [17] launches,today [17] today,distributed [17] distributed,inside [17] inside,guardian [17] guardian,online [17] online,featuring Top Word Pairs in Tweet in G4:
[151] action,plan [148] health,action [147] women,health [88] plan,2022 [88] 2022,2023 [72] women's,health [47] minister,health [42] roinnslainte,minister [41] mark,#lnternationalwomensday [39] _thenmh,mark Top Word Pairs in Tweet in G5:
[227] #womenshealth,#reproductivehealth [193] #reproductivehealth,#maternalmortality [68] pregnancy,childbirth [66] maternal,death [66] death,rate [66] women,die [64] infants,born [61] african,american [61] american,mothers [61] mothers,dying Top Word Pairs in Tweet in G6:
[33] #happywomensday,#womensday [33] #womensday,#womenempowerment [33] #womenempowerment,#womensday2022 [33] #womensday2022,#womenempoweringwomen [30] #womenempoweringwomen,#womenpower [30] #womensday,#sustainme [30] #sustainme,#womenshealth [30] #womenshealth,#womensdayquotes [30] #womensdayquotes,#women [30] #women,#womens Top Word Pairs in Tweet in G7:
[31] cervical,cancer [22] breast,cancer [15] women's,health [12] 6000,oil [11] know,cervical [11] cancer,preventable [11] preventable,mmu [11] mmu,ladies [11] ladies,take [11] take,advantage Top Word Pairs in Tweet in G8:
[39] march,#endometriosisawarenessmonth [36] #endometriosisawarenessmonth,#endometriosis [36] #endometriosis,chronic [36] chronic,disease [36] disease,affecting [36] affecting,10 [36] 10,women [36] women,one [35] julianaharkavy,march [17] good,morning Top Word Pairs in Tweet in G9:
[39] #covid19,pandemic [34] pandemic,affected [34] affected,women [34] women,access [34] access,healthcare [34] healthcare,services [34] services,time [34] time,wait [34] wait,#womenshealth [33] whoafro,#covid19 Top Word Pairs in Tweet in G10:
[16] #alzheimers,disease [16] disease,#dementia [16] #dementia,#womenshealth [14] lead_coalition,women [14] women,twice [14] twice,men [14] men,develop [14] develop,#alzheimers [14] housewives,accounted [14] accounted,14 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 G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: