The graph represents a network of 7,258 Twitter users whose tweets in the requested range contained "Maternal health", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 04 October 2021 at 04:20 UTC.
The requested start date was Monday, 04 October 2021 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 10-day, 9-hour, 42-minute period from Wednesday, 22 September 2021 at 19:04 UTC to Sunday, 03 October 2021 at 04:46 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 : 7258
Unique Edges : 5259
Edges With Duplicates : 12067
Total Edges : 17326
Number of Edge Types : 5
Tweet : 1301
Retweet : 5431
MentionsInRetweet : 8279
Mentions : 1993
Replies to : 322
Self-Loops : 1372
Reciprocated Vertex Pair Ratio : 0.02905441098785
Reciprocated Edge Ratio : 0.0564681724845996
Connected Components : 1108
Single-Vertex Connected Components : 521
Maximum Vertices in a Connected Component : 4130
Maximum Edges in a Connected Component : 12237
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 7.402285
Graph Density : 0.000184920419478492
Modularity : 0.554833
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 7,258 Twitter users whose tweets in the requested range contained "Maternal health", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 04 October 2021 at 04:20 UTC.
The requested start date was Monday, 04 October 2021 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 10-day, 9-hour, 42-minute period from Wednesday, 22 September 2021 at 19:04 UTC to Sunday, 03 October 2021 at 04:46 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 : Maternal 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:
[1886] maternal,health [917] mental,health [852] black,maternal [790] maternal,mental [519] maternal,child [488] health,week [473] child,health [451] pandemic,ripping [451] ripping,bandage [451] bandage,festering Top Word Pairs in Tweet in G1:
[309] maternal,health [158] congress,support [158] investments,maternal [158] #buildbackbetter,act [157] tell,congress [157] support,critical [157] critical,investments [156] health,#buildbackbetter [156] act,#momnibus [155] #momnibus,#buildbackbetter Top Word Pairs in Tweet in G2:
[271] maternal,health [129] black,maternal [71] medicaid,coverage [71] #buildbackbetter,act [67] thrilled,join [67] join,tcfdotorg [67] tcfdotorg,frankpallone [67] frankpallone,senbooker [67] senbooker,repgwenmoore [67] repgwenmoore,reprobinkelly Top Word Pairs in Tweet in G3:
[441] pandemic,ripping [441] ripping,bandage [441] bandage,festering [441] festering,wound [441] wound,sadly [441] sadly,those [441] those,suffer [441] suffer,those [440] cadeyharrel,pandemic [440] those,alread Top Word Pairs in Tweet in G4:
[549] mental,health [514] maternal,mental [472] black,maternal [399] health,week [164] week,#bmmhw21 [156] day,black [84] black,mothers [74] black,women [70] black,mums [64] #bmmhw21,speaking Top Word Pairs in Tweet in G5:
[73] over,past [73] maternal,health [72] past,20 [72] 20,years [72] made,#afghanistan [70] drtedros,whoemro [70] whoemro,over [70] years,significant [70] significant,health [70] health,gains Top Word Pairs in Tweet in G6:
[151] maternal,health [87] sportpesa,foundation [75] maternal,newborn [74] health,care [70] newborn,health [50] foundation,launched [48] improving,maternal [45] launched,maternal [38] reproductive,health [36] foundation,extended Top Word Pairs in Tweet in G7:
[159] mississippi,highest [159] highest,rate [159] rate,residents [159] residents,without [159] without,health [159] health,insurance [159] insurance,nation [159] nation,highest [159] highest,poverty [159] poverty,rate Top Word Pairs in Tweet in G8:
[155] 10,year [154] continuing,celebration [154] celebration,10 [154] year,anniversary [154] anniversary,asked [154] asked,everyone [154] everyone,#passthestork [154] #passthestork,share [154] share,hopes [153] msdformothers,continuing Top Word Pairs in Tweet in G9:
[146] maternal,health [124] one,life [124] life,mean [124] mean,death [124] death,another [124] call,global [124] global,leaders [124] leaders,improve [123] improve,maternal [120] another,call Top Word Pairs in Tweet in G10:
[71] maternal,health [42] unsafe,abortion [23] dialogue,maternal [22] maternal,mortality [21] health,care [20] mark,september [20] september,26th [20] 26th,#worldcontraceptionday2021 [20] #worldcontraceptionday2021,convening [20] convening,community Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: