The graph represents a network of 5,241 Twitter users whose tweets in the requested range contained "Reproductive health", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 21 November 2019 at 18:02 UTC.
The requested start date was Tuesday, 19 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 23-hour, 4-minute period from Monday, 18 November 2019 at 01:55 UTC to Tuesday, 19 November 2019 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 : 5241
Unique Edges : 5559
Edges With Duplicates : 60
Total Edges : 5619
Number of Edge Types : 3
Tweet : 163
Mentions : 5382
Replies to : 74
Self-Loops : 163
Reciprocated Vertex Pair Ratio : 0.00443213296398892
Reciprocated Edge Ratio : 0.00882515168229454
Connected Components : 214
Single-Vertex Connected Components : 70
Maximum Vertices in a Connected Component : 4416
Maximum Edges in a Connected Component : 4712
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 2.953305
Graph Density : 0.000198049436984667
Modularity : 0.555945
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 5,241 Twitter users whose tweets in the requested range contained "Reproductive health", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 21 November 2019 at 18:02 UTC.
The requested start date was Tuesday, 19 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 23-hour, 4-minute period from Monday, 18 November 2019 at 01:55 UTC to Tuesday, 19 November 2019 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 : Reproductive health
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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[10707] human,right [10702] care,human [7777] health,care [3997] reproductive,health [3577] mental,health [3576] dental,care [3568] berniesanders,dental [3568] right,reproductive [3566] right,mental [3565] right,w Top Word Pairs in Tweet in G1:
[10649] human,right [10647] care,human [7114] health,care [3564] reproductive,health [3551] dental,care [3551] mental,health [3550] berniesanders,dental [3549] right,reproductive [3548] right,mental [3547] right,w Top Word Pairs in Tweet in G2:
[431] health,care [417] ll,fighting [417] fighting,2020 [417] 2020,affordable [417] affordable,health [417] care,civil [417] civil,rights [417] rights,election [417] election,security [417] security,healthy Top Word Pairs in Tweet in G3:
[109] health,care [104] kamalaharris,expected [104] expected,make [104] make,case [104] case,s [104] s,best [104] best,fit [104] fit,address [104] address,economic [104] economic,justice Top Word Pairs in Tweet in G4:
[29] want,see [29] see,300 [29] 300,000 [29] 000,women [29] women,year [29] year,#childbirth [29] #childbirth,helenclarknz [29] helenclarknz,tells [29] tells,committed [29] committed,advancing Top Word Pairs in Tweet in G5:
[50] today,democraticags [50] democraticags,announced [50] announced,candidate [50] candidate,attorney [50] attorney,general [50] general,support [50] support,demonstrate [50] demonstrate,commitment [49] ppact,today [35] sexual,reproductive Top Word Pairs in Tweet in G6:
[91] area,man [91] man,shares [91] shares,wisdom [91] wisdom,abortion [91] abortion,seriously [91] seriously,s [91] s,clear [91] clear,today [91] today,s [91] s,meeting Top Word Pairs in Tweet in G7:
[60] reproductive,health [15] sexual,reproductive [7] #scrc,#ivf [6] health,rights [5] health,care [5] assisted,reproductive [5] reproductive,technology [4] health,decisions [4] don,t [4] ivf,#scrc Top Word Pairs in Tweet in G8:
[46] reproductive,freedom [46] freedom,being [46] being,make [46] make,choices [46] choices,yourself [46] yourself,one [46] one,decide [46] decide,personal [46] personal,health [46] health,decisions Top Word Pairs in Tweet in G9:
[35] men,used [35] used,abortion [35] abortion,female [35] female,reproductive [35] reproductive,health [35] health,laws [35] laws,control [35] control,women [35] women,nothing [35] nothing,more Top Word Pairs in Tweet in G10:
[34] congratulations,sindh [34] sindh,read [34] read,highlights [34] highlights,sindh [34] sindh,reproductive [34] reproductive,healthcare [34] healthcare,rights [34] rights,law [34] law,sindh [34] sindh,assembly Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G5:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: