The graph represents a network of 7,823 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, 19 October 2020 at 03:29 UTC.
The requested start date was Monday, 19 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 2-day, 11-hour, 31-minute period from Wednesday, 14 October 2020 at 21:49 UTC to Saturday, 17 October 2020 at 09:21 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 : 7823
Unique Edges : 2642
Edges With Duplicates : 13305
Total Edges : 15947
Number of Edge Types : 5
Tweet : 683
Retweet : 6350
MentionsInRetweet : 7400
Mentions : 1156
Replies to : 358
Self-Loops : 705
Reciprocated Vertex Pair Ratio : 0.0155856611917036
Reciprocated Edge Ratio : 0.0306929524259237
Connected Components : 755
Single-Vertex Connected Components : 297
Maximum Vertices in a Connected Component : 5152
Maximum Edges in a Connected Component : 11818
Maximum Geodesic Distance (Diameter) : 24
Average Geodesic Distance : 6.555463
Graph Density : 0.000138434246086377
Modularity : 0.520797
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 7,823 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, 19 October 2020 at 03:29 UTC.
The requested start date was Monday, 19 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 2-day, 11-hour, 31-minute period from Wednesday, 14 October 2020 at 21:49 UTC to Saturday, 17 October 2020 at 09:21 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:
[2057] reproductive,health [1247] health,care [1133] amy,coney [1079] coney,barrett [888] strike,down [887] barrett,record [886] record,clearly [886] clearly,shows [886] shows,vote [886] vote,strike Top Word Pairs in Tweet in G1:
[822] allowing,trump [822] trump,determine [822] determine,fills [822] fills,seat [822] seat,ruth [822] ruth,bader [822] bader,ginsburg [822] ginsburg,champion [822] champion,women [822] women,rights Top Word Pairs in Tweet in G2:
[834] barrett,record [834] record,clearly [834] clearly,shows [834] shows,vote [834] vote,strike [834] strike,down [834] down,aca [821] aca,overturn [821] overturn,roe [817] senschumer,judge Top Word Pairs in Tweet in G3:
[214] reproductive,health [62] health,care [49] sexual,reproductive [35] reproductive,rights [17] health,rights [14] women's,reproductive [13] amy,coney [12] coney,barrett [12] women,reproductive [12] health,reproductive Top Word Pairs in Tweet in G4:
[290] good,moms [290] moms,don [290] don,sell [290] sell,children [290] children,right [290] right,life [290] life,free [290] free,gun [290] gun,violence [290] violence,health Top Word Pairs in Tweet in G5:
[268] hell,lose [268] lose,clears [268] clears,throat [268] throat,job [268] job,health [268] health,rights [268] rights,reproductive [268] reproductive,rights [268] rights,friends [267] ciaspygirl,hell Top Word Pairs in Tweet in G6:
[218] reproductive,rights [212] roe,wade [211] need,president [211] president,appoint [211] appoint,qualified [211] qualified,judges [211] judges,uphold [211] uphold,reproductive [211] rights,under [211] under,roe Top Word Pairs in Tweet in G7:
[162] reproductive,health [149] sexual,reproductive [85] access,sexual [70] health,human [69] human,right [69] right,distant [69] distant,healthcare [69] healthcare,facilities [69] facilities,major [69] major,barrier Top Word Pairs in Tweet in G8:
[114] health,care [112] lgbtq,rights [111] rights,immigrant [111] immigrant,rights [111] voting,rights [110] president,cares [110] cares,voting [110] rights,lgbtq [110] rights,climate [110] climate,change Top Word Pairs in Tweet in G9:
[160] more,excited [160] excited,voting [160] voting,joe [160] joe,biden [160] biden,kamla [160] kamla,harris [160] harris,voted [160] voted,donald [160] donald,trump [160] trump,mike Top Word Pairs in Tweet in G10:
[145] amy,coney [145] coney,barrett [139] barrett,opinion [139] opinion,anything [139] anything,until [139] until,confirmed [139] confirmed,once [139] once,confirmed [138] teesa_michele,amy [138] confirmed,immed Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: