The graph represents a network of 5,385 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 Tuesday, 24 December 2019 at 20:27 UTC.
The requested start date was Tuesday, 24 December 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 4-day, 12-hour, 45-minute period from Thursday, 19 December 2019 at 11:54 UTC to Tuesday, 24 December 2019 at 00:40 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 : 5385
Unique Edges : 7009
Edges With Duplicates : 879
Total Edges : 7888
Number of Edge Types : 4
MentionsInRetweet : 5463
Tweet : 693
Mentions : 1411
Replies to : 321
Self-Loops : 693
Reciprocated Vertex Pair Ratio : 0.0197338914635969
Reciprocated Edge Ratio : 0.0387040023456971
Connected Components : 634
Single-Vertex Connected Components : 239
Maximum Vertices in a Connected Component : 2836
Maximum Edges in a Connected Component : 4848
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 5.889971
Graph Density : 0.000235264982664685
Modularity : 0.835326
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 5,385 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 Tuesday, 24 December 2019 at 20:27 UTC.
The requested start date was Tuesday, 24 December 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 4-day, 12-hour, 45-minute period from Thursday, 19 December 2019 at 11:54 UTC to Tuesday, 24 December 2019 at 00:40 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[3049] reproductive,health [1824] health,care [847] paid,leave [841] elizabeth,warren [841] warren,adds [841] adds,kirsten [841] kirsten,gillibrand [839] kamala,harris [834] leave,reproductive [833] care,policies Top Word Pairs in Tweet in G1:
[797] reproductive,health [795] elizabeth,warren [795] warren,adds [795] adds,kirsten [795] kirsten,gillibrand [795] gillibrand,kamala [795] kamala,harris [795] harris,paid [795] paid,leave [795] leave,reproductive Top Word Pairs in Tweet in G2:
[245] reproductive,health [207] health,care [126] reproductive,justice [125] abortion,rights [124] daily,reminder [124] reminder,reproductive [124] justice,more [124] more,abortion [124] rights,movement [124] movement,equitable Top Word Pairs in Tweet in G3:
[338] health,care [333] reproductive,health [325] access,reproductive [323] maziehirono,realdonaldtrump [322] attacked,access [322] care,putting [322] putting,arbitrary [322] arbitrary,requirements [322] requirements,health [321] realdonaldtrump,again Top Word Pairs in Tweet in G4:
[196] reproductive,health [39] sexual,reproductive [29] health,care [23] association,reproductive [23] reproductive,family [23] family,health [21] health,arfh [15] women's,reproductive [13] recruitment,association [12] health,services Top Word Pairs in Tweet in G5:
[102] wtaf,petebuttigieg [102] petebuttigieg,use [102] use,country [102] country,quarter [102] quarter,century [102] century,much [102] much,longer [102] longer,europe [101] joanmccarter,wtaf [101] europe,eve Top Word Pairs in Tweet in G6:
[113] behvlnd,jk_rowling [113] jk_rowling,reproductive [113] reproductive,biology [113] biology,two [113] two,sexes [113] sexes,belong [113] belong,one [113] one,fathering [113] fathering,three [112] debbiehayton,behvlnd Top Word Pairs in Tweet in G7:
[111] reproductive,health [107] sexual,reproductive [59] health,rights [47] millions,women [46] hi,dfid_uk [46] dfid_uk,thank [46] thank,committing [46] committing,425 [46] 425,million [46] million,#ukaid Top Word Pairs in Tweet in G8:
[105] never,ovaries [105] ovaries,getting [105] getting,between [105] between,doctor [105] doctor,someone [105] someone,men [105] men,need [105] need,quiet [105] quiet,themselves [104] vickerysec,never Top Word Pairs in Tweet in G9:
[41] reproductive,health [20] sexual,reproductive [15] ectopic,transplantation [15] transplantation,belongs [15] belongs,science [15] science,fiction [15] fiction,movies [15] movies,laws [15] laws,governing [15] governing,reproductive Top Word Pairs in Tweet in G10:
[11] reproductive,health [8] acog,laurenannewise [8] laurenannewise,noirewellness [8] noirewellness,afrowoman1 [8] afrowoman1,amizota [8] amizota,researcher_kate [8] researcher_kate,lakehealthwell [8] lakehealthwell,fibroidforumuk [7] fibroidnetwork,fibroidinfo [7] fibroidinfo,yorklawlondon Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G10: