The graph represents a network of 7,949 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, 02 November 2020 at 03:52 UTC.
The requested start date was Monday, 02 November 2020 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 11-day, 4-hour, 7-minute period from Wednesday, 21 October 2020 at 07:23 UTC to Sunday, 01 November 2020 at 11:30 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 : 7949
Unique Edges : 4680
Edges With Duplicates : 11902
Total Edges : 16582
Number of Edge Types : 5
Retweet : 5504
MentionsInRetweet : 7601
Replies to : 368
Mentions : 1980
Tweet : 1129
Self-Loops : 1167
Reciprocated Vertex Pair Ratio : 0.0214937038645245
Reciprocated Edge Ratio : 0.0420828905419766
Connected Components : 1089
Single-Vertex Connected Components : 497
Maximum Vertices in a Connected Component : 4209
Maximum Edges in a Connected Component : 10326
Maximum Geodesic Distance (Diameter) : 26
Average Geodesic Distance : 11.314654
Graph Density : 0.000148942715650217
Modularity : 0.569859
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 7,949 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, 02 November 2020 at 03:52 UTC.
The requested start date was Monday, 02 November 2020 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 11-day, 4-hour, 7-minute period from Wednesday, 21 October 2020 at 07:23 UTC to Sunday, 01 November 2020 at 11:30 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:
[2168] maternal,health [790] health,quality [776] sen,durbin [776] durbin,took [776] took,floor [776] floor,demand [776] demand,action [776] action,american [776] american,dream [776] dream,promise Top Word Pairs in Tweet in G1:
[764] sen,durbin [764] durbin,took [764] took,floor [764] floor,demand [764] demand,action [764] action,american [764] american,dream [764] dream,promise [764] promise,act [764] act,shield Top Word Pairs in Tweet in G2:
[203] maternal,health [108] child,health [106] maternal,child [48] mental,health [41] maternal,mortality [38] ilara,health [36] health,care [35] health,center [31] maternal,mental [28] health,outcomes Top Word Pairs in Tweet in G3:
[305] more,15 [305] 15,times [302] struck,more [302] times,different [302] different,parts [290] oct,28 [256] armed,forces [252] forces,struck [252] parts,capital [246] capital,stepanakert Top Word Pairs in Tweet in G4:
[266] sc,ranks [266] ranks,worst [266] worst,10 [266] 10,states [266] states,income [266] income,wages [266] wages,education [266] education,healthcare [266] healthcare,overall [266] overall,health Top Word Pairs in Tweet in G5:
[272] struck,more [272] more,15 [272] 15,times [272] times,different [272] different,parts [271] armed,forces [271] forces,struck [268] parts,capital [253] capital,#stepanakert [252] #azerbaijan,armed Top Word Pairs in Tweet in G6:
[74] mental,health [61] maternal,mental [54] pndandme,katelawler [52] katelawler,everything [52] everything,expectant [52] expectant,mothers [52] mothers,given [52] given,right [52] right,care [52] care,support Top Word Pairs in Tweet in G7:
[102] maternal,health [43] public,health [38] black,women [37] 5th,annual [35] please,join [33] health,equity [33] aphaphn,aphasrh [33] free,virtual [33] virtual,5th [33] annual,pre Top Word Pairs in Tweet in G8:
[198] racial,inequality [198] inequality,everywhere [198] everywhere,health [198] health,care [198] care,different [198] different,many [198] many,black [198] black,women [198] women,neglected [198] neglected,ignored Top Word Pairs in Tweet in G9:
[37] people,centered [31] better,maternal [30] maternal,health [30] centered,healthcare [28] unfpa,qhkawards [28] qhkawards,webinar [28] webinar,building [28] building,people [28] healthcare,systems [28] systems,better Top Word Pairs in Tweet in G10:
[157] black,maternal [155] maternal,mortality [155] mortality,rate [155] rate,public [155] public,health [155] health,crisis [154] _wytieceeee,black [2] honestly,believe [2] believe,black [2] maternal,health Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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Top Replied-To in G9:
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:
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Top Tweeters in G9:
Top Tweeters in G10: