The graph represents a network of 7,376 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, 16 November 2020 at 04:35 UTC.
The requested start date was Monday, 16 November 2020 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, 18-hour, 3-minute period from Monday, 09 November 2020 at 10:46 UTC to Saturday, 14 November 2020 at 04:49 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 : 7376
Unique Edges : 3889
Edges With Duplicates : 11867
Total Edges : 15756
Number of Edge Types : 5
Retweet : 5452
MentionsInRetweet : 6929
Tweet : 1163
Replies to : 477
Mentions : 1735
Self-Loops : 1201
Reciprocated Vertex Pair Ratio : 0.0250791331872413
Reciprocated Edge Ratio : 0.0489311163895487
Connected Components : 1119
Single-Vertex Connected Components : 479
Maximum Vertices in a Connected Component : 3594
Maximum Edges in a Connected Component : 9830
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 7.585218
Graph Density : 0.00015478510239347
Modularity : 0.531459
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 7,376 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, 16 November 2020 at 04:35 UTC.
The requested start date was Monday, 16 November 2020 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, 18-hour, 3-minute period from Monday, 09 November 2020 at 10:46 UTC to Saturday, 14 November 2020 at 04:49 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:
[3335] reproductive,health [1623] sexual,reproductive [901] health,rights [607] deserve,access [594] access,reproducti [592] 20,million [592] million,americans [591] today,fought [591] fought,20 [591] americans,previously Top Word Pairs in Tweet in G1:
[582] today,fought [582] fought,20 [582] 20,million [582] million,americans [582] americans,previously [582] previously,uninsured [582] uninsured,women [582] women,deserve [582] deserve,access [581] newyorkstateag,today Top Word Pairs in Tweet in G2:
[453] reproductive,health [362] sexual,reproductive [335] health,rights [280] one,year [223] turn,back [209] year,#nairobisummit [192] never,give [192] keep,marching [192] marching,forward [191] access,sexual Top Word Pairs in Tweet in G3:
[345] reproductive,health [90] sexual,reproductive [53] health,care [46] health,rights [35] health,services [28] reproductive,rights [22] global,gag [22] gag,rule [19] women,reproductive [19] reproductive,organs Top Word Pairs in Tweet in G4:
[223] covid,19 [220] researchers,university [220] university,miami [220] miami,tested [220] tested,testicles [220] testicles,men [220] men,died [220] died,covid [220] 19,found [220] found,virus Top Word Pairs in Tweet in G5:
[191] affordable,care [191] care,act [183] supreme,court [183] court,hears [183] hears,arguments [183] arguments,regarding [183] regarding,constitutionality [183] constitutionality,affordable [183] act,dr [183] dr,sophia Top Word Pairs in Tweet in G6:
[154] reproductive,health [91] young,people [74] sexual,reproductive [39] people,sexually [39] sexually,active [39] active,risk [39] risk,adverse [39] adverse,reproductive [39] health,outcomes [39] outcomes,subsequently Top Word Pairs in Tweet in G7:
[166] inter,university [166] university,dialogue [123] sexual,reproductive [123] reproductive,health [73] join,rhuganda [70] dialogue,sexuality [67] covid,19 [64] theme,covid [59] 19,sexual [56] under,theme Top Word Pairs in Tweet in G8:
[125] reproductive,health [78] sexual,reproductive [49] health,care [41] health,rights [18] ceo,herminiapalacio [18] herminiapalacio,policy [18] policy,experts [18] experts,zaraindc [18] zaraindc,eliznash [17] trump,administration Top Word Pairs in Tweet in G9:
[27] americans,country [27] country,delivered [27] delivered,clear [27] clear,mandate [27] mandate,incoming [27] incoming,elected [27] elected,officials [27] officials,overturn [27] overturn,aca [27] aca,aca Top Word Pairs in Tweet in G10:
[81] reproductive,health [53] sexual,reproductive [41] access,sexual [26] age,consent [22] consent,access [21] public,hearings [20] health,rights [20] health,care [16] unrestricted,access [16] rights,information Top Replied-To in Entire Graph:
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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: