The graph represents a network of 5,549 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, 29 November 2021 at 05:02 UTC.
The requested start date was Monday, 29 November 2021 at 01:01 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 4-day, 23-hour, 19-minute period from Tuesday, 23 November 2021 at 05:39 UTC to Sunday, 28 November 2021 at 04:58 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 : 5549
Unique Edges : 3447
Edges With Duplicates : 14707
Total Edges : 18154
Number of Edge Types : 5
Replies to : 262
Retweet : 6104
MentionsInRetweet : 8638
Mentions : 2204
Tweet : 946
Self-Loops : 1042
Reciprocated Vertex Pair Ratio : 0.045460415859486
Reciprocated Edge Ratio : 0.0869672637430513
Connected Components : 812
Single-Vertex Connected Components : 356
Maximum Vertices in a Connected Component : 2863
Maximum Edges in a Connected Component : 13581
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 6.885715
Graph Density : 0.000262945459492237
Modularity : 0.416007
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 5,549 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, 29 November 2021 at 05:02 UTC.
The requested start date was Monday, 29 November 2021 at 01:01 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 4-day, 23-hour, 19-minute period from Tuesday, 23 November 2021 at 05:39 UTC to Sunday, 28 November 2021 at 04:58 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:
[4276] reproductive,health [1936] sexual,reproductive [505] health,wellbeing [503] again,again [503] again,far [503] far,right [503] right,endangers [503] endangers,health [503] wellbeing,millions [503] millions,women Top Word Pairs in Tweet in G1:
[475] again,again [475] again,far [475] far,right [475] right,endangers [475] endangers,health [475] health,wellbeing [475] wellbeing,millions [475] millions,women [475] women,attacking [475] attacking,reproductive Top Word Pairs in Tweet in G2:
[1865] reproductive,health [1145] sexual,reproductive [295] oky,app [252] information,sexual [210] consulting,friends [201] reproductive,coercion [198] health,well [195] health,oky [191] friends,information [191] health,menstrual Top Word Pairs in Tweet in G3:
[295] reproductive,health [74] sexual,reproductive [56] health,rights [36] planned,parenthood [33] health,care [29] thanksgiving,week [29] week,saying [29] saying,thanks [28] work,reproductive [27] add,name Top Word Pairs in Tweet in G4:
[181] republican,legislature [181] legislature,attempt [181] attempt,pass [181] pass,texas [181] texas,style [181] style,early [181] early,term [181] term,abortion [181] abortion,ban [181] ban,pennsylvania Top Word Pairs in Tweet in G5:
[134] #abortionisessential,reproductive [134] reproductive,racial [134] racial,healthcare [134] healthcare,economic [134] economic,justice [134] justice,time [134] time,laws [134] laws,reflect [134] reflect,truth [133] ayannapressley,#abortionisessential Top Word Pairs in Tweet in G6:
[58] reproductive,health [36] executive,director [36] director,dr [36] dr,natalia [36] natalia,kanem [35] delighted,welcome [35] welcome,executive [35] kanem,atayeshe [35] atayeshe,west [35] west,central Top Word Pairs in Tweet in G7:
[241] gentlemen,reproductive [241] reproductive,health [241] health,key [241] key,day [241] day,today [241] today,life [241] life,mean [241] mean,prostate [241] prostate,relax [241] relax,capsules Top Word Pairs in Tweet in G8:
[72] reproductive,health [68] sexual,reproductive [54] abortion,access [54] access,under [54] under,attack [54] attack,country [54] country,essential [54] essential,strengthen [54] strengthen,sexual [53] alexismcgill,abortion Top Word Pairs in Tweet in G9:
[8] reproductive,health [6] health,rights [3] happywife151,chronic_chels [3] chronic_chels,doomsperg [3] nixanadoo,janemarch888 [3] janemarch888,daphgillentine [3] whymaja,codicescriba [3] codicescriba,solvolva [3] solvolva,hellochieftain [3] hellochieftain,beiker000 Top Word Pairs in Tweet in G10:
[49] reproductive,health [43] sexual,reproductive [25] health,rights [19] peer,educator [11] rhrn_ug,project's [11] project's,day [11] day,peer [11] educator,training [11] training,kabarole [11] kabarole,came Top Replied-To in Entire Graph:
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Top Replied-To in G9:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: