The graph represents a network of 7,460 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, 28 December 2020 at 04:37 UTC.
The requested start date was Monday, 28 December 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 10-day, 20-hour, 25-minute period from Wednesday, 16 December 2020 at 10:55 UTC to Sunday, 27 December 2020 at 07:20 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 : 7460
Unique Edges : 4278
Edges With Duplicates : 12247
Total Edges : 16525
Number of Edge Types : 5
Retweet : 5125
MentionsInRetweet : 7001
Tweet : 1425
Replies to : 624
Mentions : 2350
Self-Loops : 1503
Reciprocated Vertex Pair Ratio : 0.0297944789006445
Reciprocated Edge Ratio : 0.0578649031648559
Connected Components : 1319
Single-Vertex Connected Components : 584
Maximum Vertices in a Connected Component : 2803
Maximum Edges in a Connected Component : 9372
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 7.968244
Graph Density : 0.000152181343803678
Modularity : 0.515553
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 7,460 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, 28 December 2020 at 04:37 UTC.
The requested start date was Monday, 28 December 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 10-day, 20-hour, 25-minute period from Wednesday, 16 December 2020 at 10:55 UTC to Sunday, 27 December 2020 at 07:20 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:
[3662] reproductive,health [1684] sexual,reproductive [864] health,care [686] bill,gates [672] billion,people [659] people,headed [647] headed,billion [642] population,world [640] world,billion [637] gates,21 Top Word Pairs in Tweet in G1:
[639] bill,gates [639] world,billion [639] billion,people [639] people,headed [639] headed,billion [636] gates,21 [636] 21,february [636] february,2010 [636] 2010,population [636] population,world Top Word Pairs in Tweet in G2:
[446] reproductive,health [116] sexual,reproductive [71] health,care [70] reproductive,care [69] effort,aims [69] aims,bring [69] bring,reproductive [69] care,indigenous [69] indigenous,women [69] women,work Top Word Pairs in Tweet in G3:
[341] reproductive,health [304] health,care [219] sexual,reproductive [146] access,sexual [137] ppact,everyone [120] deserves,access [119] care,everyone [118] everyone,deserves [55] covid,19 [46] outrageous,political Top Word Pairs in Tweet in G4:
[336] reproductive,health [255] sexual,reproductive [90] health,rights [51] access,sexual [45] young,people [43] health,services [38] gender,equality [37] rights,including [37] including,#familyplanning [37] #familyplanning,key Top Word Pairs in Tweet in G5:
[122] gov,baker [122] baker,hoping [122] hoping,celebrating [122] celebrating,paying [122] paying,attention [122] attention,vetoed [122] vetoed,#roeact [122] #roeact,amendment [122] amendment,sent [121] jaylivingstone,gov Top Word Pairs in Tweet in G6:
[457] reproductive,health [312] sexual,reproductive [123] health,rights [109] young,people [66] zamara_fdn,bboit2 [57] nayakenya,publicpathways [53] hawahkone,kaeshanamunyak [48] health,services [45] adolescents,young [44] kaeshanamunyak,mariahakinyi11 Top Word Pairs in Tweet in G7:
[133] midst,pandemic [133] pandemic,trump's [133] trump's,top [133] top,public [133] public,health [133] health,priority [133] priority,cutting [133] cutting,abortion [133] abortion,access [133] access,reproductive Top Word Pairs in Tweet in G8:
[38] range,reproductive [37] transgender,non [37] non,binary [37] binary,gender [37] gender,non [37] non,confirming [37] confirming,people [37] people,need [37] need,access [37] access,abortion Top Word Pairs in Tweet in G9:
[205] reproductive,health [175] sexual,reproductive [37] first,pan [32] pan,african [29] myths,misconceptions [26] health,rights [17] platform,sexual [14] together,let's [14] let's,raise [14] raise,awareness Top Word Pairs in Tweet in G10:
[105] reproductive,health [27] today,man [27] man,decided [27] decided,best [27] best,women [27] women,regards [27] regards,reproductive [27] health,imagine [27] imagine,being [27] being,vote Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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Top Replied-To in G10:
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 G4:
Top Tweeters in G5:
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Top Tweeters in G10: