The graph represents a network of 6,224 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, 16 August 2021 at 04:18 UTC.
The requested start date was Monday, 16 August 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 12-day, 4-hour, 42-minute period from Monday, 02 August 2021 at 00:02 UTC to Saturday, 14 August 2021 at 04:45 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 : 6224
Unique Edges : 4572
Edges With Duplicates : 9001
Total Edges : 13573
Number of Edge Types : 5
Tweet : 1216
Retweet : 3988
MentionsInRetweet : 5978
Replies to : 299
Mentions : 2092
Self-Loops : 1265
Reciprocated Vertex Pair Ratio : 0.0314457028647568
Reciprocated Edge Ratio : 0.0609740343624855
Connected Components : 1096
Single-Vertex Connected Components : 489
Maximum Vertices in a Connected Component : 2562
Maximum Edges in a Connected Component : 7249
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 8.464652
Graph Density : 0.000199860828083232
Modularity : 0.567947
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 6,224 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, 16 August 2021 at 04:18 UTC.
The requested start date was Monday, 16 August 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 12-day, 4-hour, 42-minute period from Monday, 02 August 2021 at 00:02 UTC to Saturday, 14 August 2021 at 04:45 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:
[1519] maternal,health [574] maternal,child [567] child,health [492] maternal,mortality [424] mental,health [364] health,care [279] maternal,mental [223] black,women [164] black,maternal [162] health,services Top Word Pairs in Tweet in G1:
[183] maternal,health [152] child,health [149] maternal,child [67] mental,health [46] maternal,mental [46] health,care [45] fighting,stigma [35] covid,19 [34] disparities,maternal [33] maternal,mortality Top Word Pairs in Tweet in G2:
[181] maternal,health [93] maternal,mortality [65] repunderwood,nursing [65] nursing,school [65] school,tell [65] tell,maternal [65] mortality,disparity [65] disparity,' [64] axios,repunderwood [60] ',someth Top Word Pairs in Tweet in G3:
[39] unfpa,humanitarian [34] health,services [27] humanitarian,director [23] gursum,somali [23] somali,ms [23] ms,shoko [23] shoko,arakaki [23] arakaki,unfpa [23] maternal,health [22] child,health Top Word Pairs in Tweet in G4:
[80] mental,health [33] health,workers [31] #breastfeeding,counselling [27] health,services [26] maternal,mental [25] impact,pandemic [24] article,womenshealthmag [24] womenshealthmag,impact [23] maternal,child [23] child,health Top Word Pairs in Tweet in G5:
[39] maternal,health [28] health,outcomes [26] improving,maternal [25] mississippi,really [25] really,wanted [25] wanted,help [25] help,anything [25] anything,theyâ [25] theyâ,stop [25] stop,banning Top Word Pairs in Tweet in G6:
[83] maternal,health [38] olympic,track [28] end,maternal [27] track,star [27] health,crisis [26] allysonfelix,end [18] first,took [18] took,nike [18] nike,olympic [17] star,allysonfelix Top Word Pairs in Tweet in G7:
[130] barbieitungok,thru' [130] thru',community [130] community,organisation [130] organisation,care_ug [130] greater,luweero [130] luweero,mps [127] care_ug,together [127] together,greater [127] mps,paid [82] ma'am,barbieitungok Top Word Pairs in Tweet in G8:
[51] 40,years [50] proud,highlight [50] impact,over [50] over,40 [50] years,supporting [50] supporting,#breastfeeding [49] #worldbreastfeedingweek,iâ [49] iâ,proud [49] highlight,usaidâ [49] usaidâ,impact Top Word Pairs in Tweet in G9:
[3] cahtx01,opertinicy [3] opertinicy,100dianne [3] chrishaworth368,skepticalmutant [3] skepticalmutant,covidcattle1 [3] covidcattle1,wendyorent [3] wendyorent,agtcnews [3] agtcnews,rf121rf [3] rf121rf,omotforest [3] omotforest,plantmann_1 [3] plantmann_1,curfewx Top Word Pairs in Tweet in G10:
[85] capitalism,badly [85] badly,lags [85] lags,advanced [85] advanced,capitalist [85] capitalist,nations [85] nations,healthcare [85] healthcare,women [85] women,babies [85] babies,racism [85] racism,blatant Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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:
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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:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: