The graph represents a network of 6,978 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, 01 November 2021 at 04:16 UTC.
The requested start date was Monday, 01 November 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 5-day, 0-hour, 38-minute period from Tuesday, 26 October 2021 at 03:51 UTC to Sunday, 31 October 2021 at 04:29 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 : 6978
Unique Edges : 6024
Edges With Duplicates : 13864
Total Edges : 19888
Number of Edge Types : 5
Retweet : 6686
MentionsInRetweet : 11712
Tweet : 541
Mentions : 822
Replies to : 127
Self-Loops : 556
Reciprocated Vertex Pair Ratio : 0.0075008242664029
Reciprocated Edge Ratio : 0.0148899615479015
Connected Components : 511
Single-Vertex Connected Components : 203
Maximum Vertices in a Connected Component : 5226
Maximum Edges in a Connected Component : 16986
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 4.081581
Graph Density : 0.000251060346379064
Modularity : 0.437931
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 6,978 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, 01 November 2021 at 04:16 UTC.
The requested start date was Monday, 01 November 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 5-day, 0-hour, 38-minute period from Tuesday, 26 October 2021 at 03:51 UTC to Sunday, 31 October 2021 at 04:29 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:
[2440] #buildbackbetter,act [2372] act,includes [2360] includes,eligible [2232] eligible,provision [2232] provision,#momnibus [2225] #momnibus,act [2133] potus,vp [2106] thank,potus [2104] huge,news [2104] news,#buildbackbetter Top Word Pairs in Tweet in G1:
[1981] #buildbackbetter,act [1976] act,includes [1976] includes,eligible [1973] #momnibus,act [1888] potus,vp [1876] eligible,provision [1876] provision,#momnibus [1862] thank,potus [1861] huge,news [1861] news,#buildbackbetter Top Word Pairs in Tweet in G2:
[709] sure,cover [709] cover,much [709] much,energy [709] energy,vigor [709] vigor,thoughts [709] thoughts,creation [709] creation,universal [709] universal,pre [708] harrisonjaime,sure [708] pre,extensi Top Word Pairs in Tweet in G3:
[342] maternal,health [252] #buildbackbetter,act [193] act,includes [181] includes,eligible [170] eligible,provision [170] provision,#momnibus [112] updated,#buildbackbetter [105] #momnibus,increased [105] increased,funding [105] funding,permanent Top Word Pairs in Tweet in G4:
[251] america,hate [251] hate,mothers [251] mothers,children [251] children,much [251] much,sadistic [251] sadistic,type [251] type,cruelty [251] cruelty,paid [251] paid,parental [251] parental,leave Top Word Pairs in Tweet in G5:
[88] maternal,health [50] maternal,child [48] child,health [25] mental,health [24] health,care [21] maternal,mortality [18] disparities,maternal [17] racial,disparities [15] maternal,mental [11] join,exciting Top Word Pairs in Tweet in G6:
[96] maternal,child [77] child,health [68] current,state [68] state,maternal [67] round,table [67] table,meeting [67] meeting,stakeholders [67] stakeholders,reflect [67] reflect,current [67] health,ahead Top Word Pairs in Tweet in G7:
[187] distributed,272 [187] 272,midwifery [187] midwifery,equipment [187] equipment,kits [187] kits,adequate [187] adequate,more [187] more,13k [187] 13k,deliveries [187] deliveries,improve [187] improve,maternal Top Word Pairs in Tweet in G8:
[154] health,outcomes [154] outcomes,reducing [154] reducing,maternal [154] maternal,child [154] child,mortality [154] mortality,reducing [154] reducing,cancer [154] cancer,cardiac [154] cardiac,disparities [154] disparities,lifting Top Word Pairs in Tweet in G9:
[37] maternal,child [35] child,health [30] maternal,health [26] mental,health [23] public,health [20] american,public [20] health,association [16] association,maternal [16] health,section [15] 2021,american Top Word Pairs in Tweet in G10:
[36] maternal,health [26] paid,leave [17] health,care [17] achieving,maintaining [17] maintaining,#wash [17] #wash,services [17] services,critical [17] critical,element [17] element,number [17] number,health 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: