The graph represents a network of 5,286 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 Tuesday, 24 March 2020 at 17:46 UTC.
The requested start date was Tuesday, 24 March 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 5-day, 8-hour, 14-minute period from Wednesday, 18 March 2020 at 15:45 UTC to Monday, 23 March 2020 at 23:59 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 : 5286
Unique Edges : 6961
Edges With Duplicates : 834
Total Edges : 7795
Number of Edge Types : 4
MentionsInRetweet : 5634
Tweet : 795
Mentions : 1066
Replies to : 300
Self-Loops : 795
Reciprocated Vertex Pair Ratio : 0.0163984674329502
Reciprocated Edge Ratio : 0.0322677925211098
Connected Components : 711
Single-Vertex Connected Components : 300
Maximum Vertices in a Connected Component : 2990
Maximum Edges in a Connected Component : 5198
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.396973
Graph Density : 0.000237395437010564
Modularity : 0.775839
NodeXL Version : 1.0.1.427
Data Import : The graph represents a network of 5,286 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 Tuesday, 24 March 2020 at 17:46 UTC.
The requested start date was Tuesday, 24 March 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 5-day, 8-hour, 14-minute period from Wednesday, 18 March 2020 at 15:45 UTC to Monday, 23 March 2020 at 23:59 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:
[1851] reproductive,health [1195] reproductive,rights [1033] victory,reproductive [1031] congratulations,marie4congress [1031] marie4congress,win [1031] win,#il03 [1031] #il03,yesterday [1031] yesterday,victory [1031] rights,better [1030] hillaryclinton,congratulations Top Word Pairs in Tweet in G1:
[1008] reproductive,rights [1007] congratulations,marie4congress [1007] marie4congress,win [1007] win,#il03 [1007] #il03,yesterday [1007] yesterday,victory [1007] victory,reproductive [1007] rights,better [1006] hillaryclinton,congratulations [1006] better,healt Top Word Pairs in Tweet in G2:
[255] reproductive,health [133] abortion,care [114] covid,19 [101] health,care [83] care,during [81] contraception,abortion [80] sexual,reproductive [77] during,pandemic [76] patients,stop [76] stop,needing Top Word Pairs in Tweet in G3:
[256] reproductive,health [64] sexual,reproductive [49] health,care [42] covid,19 [34] health,rights [26] health,services [23] during,covid [22] women's,reproductive [14] care,reproductive [14] 19,outbreak Top Word Pairs in Tweet in G4:
[144] reproductive,health [89] health,providers [88] remain,committed [88] committed,working [88] working,health [88] providers,hospitals [88] hospitals,orgs [88] orgs,serve [88] serve,communities [88] communities,surgical Top Word Pairs in Tweet in G5:
[168] evil,maine [168] maine,clinics [168] clinics,extend [168] extend,birth [168] birth,control [168] control,prescriptions [168] prescriptions,fear [168] fear,#babyboom [168] #babyboom,18 [168] 18,maine Top Word Pairs in Tweet in G6:
[63] reproductive,health [51] sexual,reproductive [30] young,people [26] health,rights [15] march,31st [14] implications,sexual [14] #jobalert,deadline [14] deadline,extended [14] extended,until [14] until,march Top Word Pairs in Tweet in G7:
[127] republican,hoax [127] hoax,progress [127] progress,ohio's [127] ohio's,regressive [127] regressive,gop [127] gop,politicians [127] politicians,using [127] using,#coronaviruspandemic [127] #coronaviruspandemic,lash [127] lash,women's Top Word Pairs in Tweet in G8:
[109] reproductive,health [34] health,advocates [34] dramatically,increase [33] warn,coronavirus [33] coronavirus,dramatically [31] health,care [27] increase,hurdles [24] once,again [24] again,those [24] those,opposed Top Word Pairs in Tweet in G9:
[67] reproductive,health [32] covid,19 [31] sexual,reproductive [16] health,rights [15] enough,global [15] global,precedence [14] spread,covid [14] 19,described [14] mobile,medical [14] medical,teams Top Word Pairs in Tweet in G10:
[75] add,story [75] story,lede [75] lede,plays [75] plays,gop [75] gop,framing [75] framing,despite [75] despite,state [75] state,health [75] health,order [75] order,banning Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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 G9:
Top Tweeters in G10: