The graph represents a network of 7,788 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, 02 November 2020 at 03:34 UTC.
The requested start date was Monday, 02 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, 10-hour, 32-minute period from Tuesday, 27 October 2020 at 22:40 UTC to Sunday, 01 November 2020 at 09:12 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 : 7788
Unique Edges : 3973
Edges With Duplicates : 12120
Total Edges : 16093
Number of Edge Types : 5
Retweet : 5381
MentionsInRetweet : 7078
Mentions : 1717
Replies to : 429
Tweet : 1488
Self-Loops : 1554
Reciprocated Vertex Pair Ratio : 0.0195608278647148
Reciprocated Edge Ratio : 0.0383710855303874
Connected Components : 1492
Single-Vertex Connected Components : 865
Maximum Vertices in a Connected Component : 3796
Maximum Edges in a Connected Component : 10015
Maximum Geodesic Distance (Diameter) : 27
Average Geodesic Distance : 8.359142
Graph Density : 0.000133217564812596
Modularity : 0.514822
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 7,788 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, 02 November 2020 at 03:34 UTC.
The requested start date was Monday, 02 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, 10-hour, 32-minute period from Tuesday, 27 October 2020 at 22:40 UTC to Sunday, 01 November 2020 at 09:12 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:
[2741] reproductive,health [1483] health,care [1168] reproductive,rights [1020] senator,collins [979] sexual,reproductive [891] far,right [767] saragideon,senator [747] collins,packed [747] packed,court [747] court,helped Top Word Pairs in Tweet in G1:
[990] senator,collins [858] far,right [747] saragideon,senator [728] collins,packed [728] packed,court [728] court,helped [728] helped,trump [728] trump,mcconnell [728] mcconnell,stack [728] stack,courts Top Word Pairs in Tweet in G2:
[499] reproductive,rights [430] fiimwidow,thread [430] thread,resources [430] resources,reproductive [430] rights,centers [430] centers,perform [430] perform,abortions [430] abortions,etc [430] etc,abortion [430] abortion,funds Top Word Pairs in Tweet in G3:
[255] really,bad [255] bad,women [255] women,women [255] women,entering [255] entering,job [255] job,force [255] force,driven [255] driven,economic [254] ashleyn1cole,really [3] health,care Top Word Pairs in Tweet in G4:
[204] reproductive,health [75] sexual,reproductive [68] zamara_fdn,kiruthi_faith [68] stellawaruinge,beverly_nkirote [55] michelletracy12,kombemartha [54] kiruthi_faith,stellawaruinge [54] beverly_nkirote,pissedkenyan [54] pissedkenyan,michelletracy12 [40] kombemartha,nms_kenya [32] health,rights Top Word Pairs in Tweet in G5:
[176] reproductive,health [88] health,care [46] health,rights [44] sexual,reproductive [26] people,color [26] #scarystats,hyde [26] hyde,targets [26] targets,black [26] black,women [26] women,color Top Word Pairs in Tweet in G6:
[178] health,care [116] reproductive,freedom [91] care,reproductive [87] yes,need [87] need,flip [87] flip,senate [87] senate,win [87] win,back [87] back,white [87] white,house Top Word Pairs in Tweet in G7:
[182] fat,girls [182] reproductive,health [182] health,complications [181] men,fat [180] girls,inclination [180] inclination,towards [180] towards,reproductive [179] complications,forgetting [179] forgetting,being [179] being,risk Top Word Pairs in Tweet in G8:
[120] health,care [118] care,reproductive [106] reproductive,freedom [63] lgbtq,rights [61] republicans,made [61] made,abundantly [61] abundantly,clear [61] clear,re [61] re,coming [61] coming,health Top Word Pairs in Tweet in G9:
[154] health,care [146] justice,ballot [146] ballot,justice [146] justice,health [146] care,justice [146] justice,policing [146] policing,reproductive [146] reproductive,justice [146] justice,racial [146] racial,justice Top Word Pairs in Tweet in G10:
[132] don,sex [132] sex,find [132] find,sicker [132] sicker,ways [132] ways,dunk [132] dunk,nerds [132] nerds,without [132] without,uteruses [132] uteruses,women [132] women,health Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: