The graph represents a network of 7,667 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, 10 August 2020 at 03:29 UTC.
The requested start date was Monday, 10 August 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 6-day, 10-hour, 0-minute period from Monday, 03 August 2020 at 04:00 UTC to Sunday, 09 August 2020 at 14:00 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 : 7667
Unique Edges : 4638
Edges With Duplicates : 12989
Total Edges : 17627
Number of Edge Types : 5
Replies to : 604
Retweet : 5466
MentionsInRetweet : 8057
Tweet : 1131
Mentions : 2369
Self-Loops : 1203
Reciprocated Vertex Pair Ratio : 0.0324953342847733
Reciprocated Edge Ratio : 0.0629452418926103
Connected Components : 1164
Single-Vertex Connected Components : 460
Maximum Vertices in a Connected Component : 3880
Maximum Edges in a Connected Component : 12074
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.836878
Graph Density : 0.00016001640963602
Modularity : 0.521163
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 7,667 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, 10 August 2020 at 03:29 UTC.
The requested start date was Monday, 10 August 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 6-day, 10-hour, 0-minute period from Monday, 03 August 2020 at 04:00 UTC to Sunday, 09 August 2020 at 14:00 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:
[4014] reproductive,health [1337] sexual,reproductive [696] health,care [553] health,rights [510] against,equal [349] health,services [349] trans,men [347] reproductive,rights [337] provide,reproductive [336] turned,away Top Word Pairs in Tweet in G1:
[388] reproductive,health [109] sexual,reproductive [62] health,care [42] covid,19 [36] health,services [36] health,rights [17] women's,reproductive [16] reproductive,rights [16] women,reproductive [14] access,reproductive Top Word Pairs in Tweet in G2:
[268] reproductive,health [107] sexual,reproductive [53] health,rights [50] professors,reproductive [50] health,cover [50] cover,consequences [50] consequences,receiving [50] receiving,vs [50] vs,being [50] being,denied Top Word Pairs in Tweet in G3:
[339] reproductive,health [332] trans,men [332] turned,away [330] men,turned [330] away,doctors [330] doctors,offices [330] offices,provide [330] provide,reproductive [330] health,doctors [330] doctors,expecting Top Word Pairs in Tweet in G4:
[374] reproductive,health [206] sexual,reproductive [152] youth,friendly [133] young,people [115] friendly,services [91] covid,19 [90] health,rights [84] access,youth [84] health,services [79] services,amidst Top Word Pairs in Tweet in G5:
[146] reproductive,health [122] health,care [99] care,including [99] including,abortion [98] access,reproductive [97] everyone,deserves [93] abortion,matter [93] matter,live [93] live,thatâ [79] deserves,access Top Word Pairs in Tweet in G6:
[214] reproductive,rights [198] trump,administration [198] administration,senate [198] senate,republicans [198] republicans,made [198] made,concerted [198] concerted,effort [198] effort,chip [198] chip,away [198] away,reproductive Top Word Pairs in Tweet in G7:
[502] against,equal [251] ok,set [251] set,record [251] record,straight [251] straight,rep [251] rep,ann [251] ann,wagner [251] wagner,voted [251] voted,against [251] equal,pay Top Word Pairs in Tweet in G8:
[212] reproductive,health [202] sexual,reproductive [98] youth,day [91] pre,youth [70] health,rights [68] investing,meaningful [64] day,dialogue [56] young,people [54] join,rhuganda [39] global,action Top Word Pairs in Tweet in G9:
[78] need,control [78] control,reduce [78] reduce,population [78] population,healthcare [75] healthcare,vaccines [71] reproductive,health [70] bill,need [65] deanna4congress,bill [64] nastybobusa,deanna4congress [64] vaccines,reproductiv Top Word Pairs in Tweet in G10:
[40] reproductive,health [40] tlaleng,mofokeng [39] celebrating,black [39] black,women [39] women,medicine [39] medicine,yt [39] yt,channel [39] channel,sunday [39] sunday,dr [39] dr,tlaleng Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: