The graph represents a network of 7,897 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, 27 October 2020 at 03:34 UTC.
The requested start date was Monday, 26 October 2020 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 3-day, 23-hour, 34-minute period from Thursday, 22 October 2020 at 00:25 UTC to Monday, 26 October 2020 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 : 7897
Unique Edges : 4401
Edges With Duplicates : 12594
Total Edges : 16995
Number of Edge Types : 5
Tweet : 899
Mentions : 1214
Retweet : 6040
MentionsInRetweet : 8389
Replies to : 453
Self-Loops : 942
Reciprocated Vertex Pair Ratio : 0.0144215696520013
Reciprocated Edge Ratio : 0.0284330895230246
Connected Components : 1006
Single-Vertex Connected Components : 413
Maximum Vertices in a Connected Component : 4508
Maximum Edges in a Connected Component : 11550
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 6.485129
Graph Density : 0.000155673880748579
Modularity : 0.561112
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 7,897 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, 27 October 2020 at 03:34 UTC.
The requested start date was Monday, 26 October 2020 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 3-day, 23-hour, 34-minute period from Thursday, 22 October 2020 at 00:25 UTC to Monday, 26 October 2020 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 : 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:
[2032] reproductive,health [1395] health,care [822] reproductive,rights [605] judge,barrett [592] sexual,reproductive [467] care,reproductive [453] amy,coney [445] supreme,court [433] taking,away [411] abortion,bans Top Word Pairs in Tweet in G1:
[311] judge,barrett [291] barrett,nomination [237] watch,senschumer [237] senschumer,judiciarydems [237] judiciarydems,following [237] following,boycott [237] boycott,illegitimate [237] illegitimate,markup [237] markup,judge [236] senatedems,watch Top Word Pairs in Tweet in G2:
[294] reproductive,health [95] health,care [61] sexual,reproductive [41] reproductive,rights [38] birth,control [34] health,rights [29] ballot,2020 [28] right,vote [27] control,abortion [27] abortion,rights Top Word Pairs in Tweet in G3:
[392] abortion,bans [392] bans,health [392] health,medicine [392] medicine,controlling [392] controlling,bodies [392] bodies,taking [392] taking,away [392] away,power [392] power,decide [391] aclu,abortion Top Word Pairs in Tweet in G4:
[315] gotta,put [315] put,age [315] age,cap [315] cap,politicians [315] politicians,don [315] don,need [315] need,98 [315] 98,year [315] year,old [315] old,republican Top Word Pairs in Tweet in G5:
[232] health,care [190] amy,coney [189] coney,barrett [171] supreme,court [169] nomination,amy [168] court,nomination [168] barrett,threatens [168] threatens,health [151] reproductive,rights [148] care,reproductive Top Word Pairs in Tweet in G6:
[277] illegitimate,process [254] judge,barrett [245] press,conference [243] democrats,holding [243] holding,press [243] conference,highlight [243] highlight,illegitimate [243] process,nomination [243] nomination,judge [242] senfeinstein,democrats Top Word Pairs in Tweet in G7:
[123] constitutional,tribunal [77] polish,constitutional [68] reproductive,health [65] access,abortion [56] concerned,today [56] today,decision [56] decision,polish [56] tribunal,access [56] abortion,poland [56] poland,sexual Top Word Pairs in Tweet in G8:
[198] rbg,left [198] left,huge [198] huge,legacy [198] legacy,court [198] court,country [198] country,pushed [198] pushed,forward [198] forward,made [198] made,progress [198] progress,impacted Top Word Pairs in Tweet in G9:
[190] georgia,women [190] women,take [190] take,note [190] note,richforga [190] richforga,criminalize [190] criminalize,woman's [190] woman's,right [190] right,choose [190] choose,choice [190] choice,save Top Word Pairs in Tweet in G10:
[141] fight,protect [136] republicans,continue [134] roe,wade [134] wade,jeopardy [134] jeopardy,republicans [134] continue,pack [134] pack,courts [134] courts,anti [134] anti,choice [134] choice,judges Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: