The graph represents a network of 15,498 Twitter users whose recent tweets contained "#BansOffOurBodies", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 04 September 2021 at 03:16 UTC.
The tweets in the network were tweeted over the 1-day, 13-hour, 1-minute period from Thursday, 02 September 2021 at 13:30 UTC to Saturday, 04 September 2021 at 02:32 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 : 15498
Unique Edges : 21164
Edges With Duplicates : 2212
Total Edges : 23376
Number of Edge Types : 5
Retweet : 13782
Mentions : 1341
Replies to : 1010
Tweet : 3499
MentionsInRetweet : 3744
Self-Loops : 3556
Reciprocated Vertex Pair Ratio : 0.00597662241497858
Reciprocated Edge Ratio : 0.011882229232387
Connected Components : 2487
Single-Vertex Connected Components : 2047
Maximum Vertices in a Connected Component : 11909
Maximum Edges in a Connected Component : 19582
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.62368
Graph Density : 7.91930779953639E-05
Modularity : 0.772488
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 15,498 Twitter users whose recent tweets contained "#BansOffOurBodies", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 04 September 2021 at 03:16 UTC.
The tweets in the network were tweeted over the 1-day, 13-hour, 1-minute period from Thursday, 02 September 2021 at 13:30 UTC to Saturday, 04 September 2021 at 02:32 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 : TwitterSearch
Graph Term : #BansOffOurBodies
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:
[2740] access,abortion [2143] stand,solidarity [2028] reproductive,justice [1950] reproductive,rights [1851] rights,#bansoffourbodies [1813] human,rights [1652] rights,human [1616] fighting,reproductive [1597] people,everywhere [1596] texans,women Top Word Pairs in Tweet in G1:
[1166] sign,petition [1165] access,abortion [1162] petition,protect [1161] protect,access [1160] abortion,americans [1160] americans,#bansoffourbodies [110] #abortionishealthcare,#bansoffourbodies [78] #bansoffourbodies,#abortionishealthcare [44] #abortionban,#bansoffourbodies [35] #bansoffourbodies,#abortionban Top Word Pairs in Tweet in G2:
[1544] reproductive,justice [1506] rights,#bansoffourbodies [1505] reproductive,rights [1505] rights,human [1505] human,rights [1501] today,heavy [1501] heavy,day [1501] day,texans [1501] texans,women [1501] women,people Top Word Pairs in Tweet in G3:
[697] abortion,ban [293] supreme,court [261] access,abortion [261] fight,reproductive [261] make,decisions [255] ban,#sb8 [252] never,stop [250] decisions,health [217] texas,abortion [196] need,#bansoffourbodies Top Word Pairs in Tweet in G4:
[1129] abortion,care [570] access,abortion [557] many,asking [557] asking,help [557] help,women [557] women,left [557] left,access [557] care,tx [557] tx,please [557] please,listen Top Word Pairs in Tweet in G5:
[297] #bansoffourbodies,#sb8 [266] legal,abortion [264] americans,support [260] support,access [255] access,legal [254] majority,#bansoffourbodies [204] 10,number [204] number,americans [204] abortion,re [204] re,majority Top Word Pairs in Tweet in G6:
[577] outlawing,abortion [577] abortion,forcing [577] forcing,women [577] women,bring [577] bring,pregnancies [577] pregnancies,term [577] term,deputizing [577] deputizing,everyone [577] everyone,enforcers [577] enforcers,women Top Word Pairs in Tweet in G7:
[156] roe,wade [150] protect,right [149] #sb8,#bansoffourbodies [149] always,fight [149] fight,protect [149] right,choose [148] devastated,scotus [148] scotus,paved [148] paved,way [148] way,overturning Top Word Pairs in Tweet in G8:
[119] abortion,access [119] pass,#whpa [118] congress,pass [118] protect,abortion [111] protection,act [110] health,protection [109] keep,#bansoffourbodies [108] pass,federal [108] federal,law [108] law,protect Top Word Pairs in Tweet in G9:
[97] mass,exodus [96] projectlincoln,abbott [96] abbott,cruz [96] cruz,panicked [96] panicked,migrants [96] migrants,coming [96] coming,texas [96] texas,worry [96] worry,mass [96] exodus,texas Top Word Pairs in Tweet in G10:
[425] help,women [424] women,tx [424] tx,face [424] face,lawsuit [424] lawsuit,vigilanteism [424] vigilanteism,ideologues [424] ideologues,potentially [424] potentially,win [424] win,10 [424] 10,000 Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G5:
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: