The graph represents a network of 6,661 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, 17 January 2022 at 05:19 UTC.
The requested start date was Monday, 17 January 2022 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 13-day, 23-hour, 41-minute period from Monday, 03 January 2022 at 01:17 UTC to Monday, 17 January 2022 at 00:58 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 : 6661
Unique Edges : 5041
Edges With Duplicates : 10032
Total Edges : 15073
Number of Edge Types : 5
Retweet : 4548
MentionsInRetweet : 7034
Tweet : 1157
Mentions : 1971
Replies to : 363
Self-Loops : 1208
Reciprocated Vertex Pair Ratio : 0.0246768507638073
Reciprocated Edge Ratio : 0.0481651376146789
Connected Components : 1104
Single-Vertex Connected Components : 482
Maximum Vertices in a Connected Component : 2708
Maximum Edges in a Connected Component : 8416
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 7.135647
Graph Density : 0.000196563475350444
Modularity : 0.563317
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 6,661 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, 17 January 2022 at 05:19 UTC.
The requested start date was Monday, 17 January 2022 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 13-day, 23-hour, 41-minute period from Monday, 03 January 2022 at 01:17 UTC to Monday, 17 January 2022 at 00:58 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:
[2432] maternal,health [445] maternal,child [443] child,health [412] maternal,mortality [406] black,maternal [390] mental,health [367] health,care [293] health,crisis [288] health,day [286] day,action Top Word Pairs in Tweet in G1:
[589] maternal,health [281] health,day [281] day,action [215] vp,maternal [174] olympian,allysonfelix [173] action,whitehouse [171] repunderwood,watch [165] watch,conversation [165] conversation,olympian [165] allysonfelix,vp Top Word Pairs in Tweet in G2:
[246] maternal,health [92] senator,support [92] support,critical [92] critical,investments [91] investments,maternal [89] health,#buildbackbetter [89] #buildbackbetter,act [89] act,#momnibus [87] tell,senator [87] #momnibus,#buildbackbetter Top Word Pairs in Tweet in G3:
[197] maternal,health [181] health,crisis [127] black,maternal [116] great,join [116] join,cbseveningnews [116] cbseveningnews,last [116] last,night [116] night,discuss [116] discuss,black [116] crisis,facing Top Word Pairs in Tweet in G4:
[30] maternal,mortality [24] accelerating,progress [24] progress,maternal [24] maternal,reproductive [23] another,driver [23] driver,#banditry [23] #banditry,#extremism [23] #extremism,maternal [23] mortality,highest [23] highest,amongst Top Word Pairs in Tweet in G5:
[62] maternal,health [39] series,free [39] racial,inequality [37] free,online [37] online,webinars [32] mental,health [24] global,maternal [24] perinatal,mental [22] raise,awareness [22] awareness,racial Top Word Pairs in Tweet in G6:
[140] fee,presenting [140] awards,fivexmore [140] fivexmore,grassroots [139] mo,gilligan [139] gilligan,announced [139] announced,donating [139] donating,fee [139] presenting,upcoming [139] upcoming,brit [139] brit,awards Top Word Pairs in Tweet in G7:
[10] maternal,health [4] 60,preventable [4] preventable,maternal [4] maternal,deaths [4] deaths,worldwide [4] worldwide,occur [4] occur,crisis [4] crisis,conflict [4] conflict,zones [4] zones,implementing Top Word Pairs in Tweet in G8:
[54] maternal,health [29] virtual,workshop [19] technology,improve [18] improve,maternal [18] review,state [17] join,nih [15] jan,18 [15] mental,health [14] child,health [13] 18,review Top Word Pairs in Tweet in G9:
[66] maternal,health [37] healthy,ageing [37] ageing,chronic [37] big,data [35] researcher,interested [35] interested,healthy [35] chronic,conditions [35] conditions,morbidity [35] morbidity,big [34] mental,health Top Word Pairs in Tweet in G10:
[103] fundamental,part [103] part,reducing [103] reducing,maternal [103] maternal,mortality [103] mortality,improving [103] improving,women's [103] women's,health [103] health,expanding [103] expanding,access [103] access,#sdgs 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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