The graph represents a network of 7,837 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 Monday, 26 October 2020 at 03:33 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, 13-hour, 31-minute period from Wednesday, 21 October 2020 at 19:28 UTC to Sunday, 25 October 2020 at 09:00 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 : 7837
Unique Edges : 4287
Edges With Duplicates : 12756
Total Edges : 17043
Number of Edge Types : 5
Retweet : 6139
MentionsInRetweet : 8509
Tweet : 838
Mentions : 1154
Replies to : 403
Self-Loops : 885
Reciprocated Vertex Pair Ratio : 0.0140064806104317
Reciprocated Edge Ratio : 0.0276260179362952
Connected Components : 954
Single-Vertex Connected Components : 397
Maximum Vertices in a Connected Component : 4550
Maximum Edges in a Connected Component : 11753
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 6.729693
Graph Density : 0.000157969131519227
Modularity : 0.560419
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 7,837 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 Monday, 26 October 2020 at 03:33 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, 13-hour, 31-minute period from Wednesday, 21 October 2020 at 19:28 UTC to Sunday, 25 October 2020 at 09:00 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:
[2125] reproductive,health [1471] health,care [850] reproductive,rights [648] judge,barrett [592] sexual,reproductive [474] supreme,court [451] taking,away [440] amy,coney [417] year,old [413] white,men Top Word Pairs in Tweet in G1:
[410] gotta,put [410] put,age [410] age,cap [410] cap,politicians [410] politicians,don [410] don,need [410] need,98 [410] 98,year [410] year,old [410] old,republican Top Word Pairs in Tweet in G2:
[295] judge,barrett [289] barrett,nomination [236] watch,senschumer [236] senschumer,judiciarydems [236] judiciarydems,following [236] following,boycott [236] boycott,illegitimate [236] illegitimate,markup [236] markup,judge [235] senatedems,watch Top Word Pairs in Tweet in G3:
[394] abortion,bans [394] bans,health [394] health,medicine [394] medicine,controlling [394] controlling,bodies [394] bodies,taking [394] taking,away [394] away,power [394] power,decide [393] aclu,abortion Top Word Pairs in Tweet in G4:
[304] reproductive,health [91] health,care [70] sexual,reproductive [43] health,rights [41] birth,control [36] reproductive,rights [30] control,abortion [30] abortion,rights [30] ballot,2020 [30] right,vote Top Word Pairs in Tweet in G5:
[315] judge,barrett [283] illegitimate,process [251] press,conference [249] democrats,holding [249] holding,press [249] conference,highlight [249] highlight,illegitimate [249] process,nomination [249] nomination,judge [248] senfeinstein,democrats Top Word Pairs in Tweet in G6:
[271] health,care [194] amy,coney [193] coney,barrett [192] reproductive,rights [173] supreme,court [171] court,nomination [171] nomination,amy [170] barrett,threatens [170] threatens,health [150] care,reproductive Top Word Pairs in Tweet in G7:
[164] health,care [139] reproductive,health [136] roe,wade [136] wade,jeopardy [136] jeopardy,republicans [136] republicans,continue [136] continue,pack [136] pack,courts [136] courts,anti [136] anti,choice Top Word Pairs in Tweet in G8:
[225] health,care [224] reproductive,rights [223] voting,rights [223] rights,workers [223] workers,rights [223] rights,consumer [223] consumer,rights [223] rights,reproductive [223] rights,access [223] access,health Top Word Pairs in Tweet in G9:
[124] constitutional,tribunal [77] polish,constitutional [57] reproductive,health [57] 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 G10:
[188] georgia,women [188] women,take [188] take,note [188] note,richforga [188] richforga,criminalize [188] criminalize,woman's [188] woman's,right [188] right,choose [188] choose,choice [188] choice,save Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
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: