merckformothers, Twitter, 11/10/2020 11:12:51 PM, 240077


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merckformothers_2020-11-10_14-48-21.xlsx
merckformothers_2020-11-10_14-48-21.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
November 10, 2020
Short Description:
merckformothers via NodeXL https://bit.ly/3eLow3X
@merckformothers
@bewaj
@geoffibbotson
@eleutheriaall
@angele1bell
@results4dev
@the_gdhn
@daiglobal
@datadrivencare
@insupplyhealth

Top hashtags:
#gdhf2020
#healthsystems
#togetherformothers
#endmaternalmortality

Description:
Description
The graph represents a network of 55 Twitter users whose tweets in the requested range contained "merckformothers", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 10 November 2020 at 22:48 UTC.

The requested start date was Tuesday, 10 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 13-day, 17-hour, 15-minute period from Tuesday, 27 October 2020 at 02:42 UTC to Monday, 09 November 2020 at 19:57 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


Overall Graph Metrics
Vertices : 55
Unique Edges : 71
Edges With Duplicates : 44
Total Edges : 115
Number of Edge Types : 5
Retweet : 19
MentionsInRetweet : 51
Mentions : 41
Replies to : 2
Tweet : 2
Self-Loops : 2
Reciprocated Vertex Pair Ratio : 0.0337078651685393
Reciprocated Edge Ratio : 0.0652173913043478
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 55
Maximum Edges in a Connected Component : 115
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.751074
Graph Density : 0.030976430976431
Modularity : 0.527845
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 55 Twitter users whose tweets in the requested range contained "merckformothers", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 10 November 2020 at 22:48 UTC.

The requested start date was Tuesday, 10 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 13-day, 17-hour, 15-minute period from Tuesday, 27 October 2020 at 02:42 UTC to Monday, 09 November 2020 at 19:57 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 : merckformothers
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 Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[2] https://r4d.org/blog/the-public-private-sector-ecosystem-factors-for-effective-engagement/
[1] https://www.merckformothers.com/where-we-work.html
[1] https://www.asknivi.in/
[1] https://twitter.com/MerckforMothers/status/1319265049874206720
[1] https://us02web.zoom.us/webinar/register/6116025922891/WN_ksGxipFgSSGjDEgWhhEa6w
[1] https://www.globalfinancingfacility.org/sites/gff_new/GFF-annual-report-2020/?cid=GFF_TT_theGFF_EN_EXT
[1] https://blavity.com/why-we-must-support-the-leaders-fighting-to-make-pregnancy-and-childbirth-safer-for-black-women?category1=opinion
[1] https://medium.com/illumination/porsha-and-march-of-dimes-black-maternal-health-crisis-4e0f91d3b845?source=friends_link&sk=3a335922188ad6fd765ac8d41d31b8fc
[1] https://milkeninstitute.org/power-of-ideas/mary-ann-etiebet/maternal-mortality
[1] https://gdhf2020.dryfta.com/sponsors

Top URLs in Tweet in G1:
[2] https://r4d.org/blog/the-public-private-sector-ecosystem-factors-for-effective-engagement/
[1] https://www.merckformothers.com/where-we-work.html
[1] https://www.merckformothers.com/
[1] https://www.globalfinancingfacility.org/sites/gff_new/GFF-annual-report-2020/?cid=GFF_TT_theGFF_EN_EXT
[1] https://www.asknivi.in/
[1] https://twitter.com/MerckforMothers/status/1319265049874206720
[1] https://blavity.com/why-we-must-support-the-leaders-fighting-to-make-pregnancy-and-childbirth-safer-for-black-women?category1=opinion
[1] https://medium.com/illumination/porsha-and-march-of-dimes-black-maternal-health-crisis-4e0f91d3b845?source=friends_link&sk=3a335922188ad6fd765ac8d41d31b8fc
[1] https://milkeninstitute.org/power-of-ideas/mary-ann-etiebet/maternal-mortality

Top URLs in Tweet in G2:
[1] https://us02web.zoom.us/webinar/register/6116025922891/WN_ksGxipFgSSGjDEgWhhEa6w

Top URLs in Tweet in G3:
[1] https://twitter.com/UNFPA_ESARO/status/1321061980015386625

Top URLs in Tweet in G4:
[1] https://gdhf2020.dryfta.com/sponsors
[1] https://gdhf2020.dryfta.com/

Top URLs in Tweet in G5:
[1] https://twitter.com/LotusOak2/status/1320915514059857921

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[5] gdhf2020
[4] healthsystems
[2] togetherformothers
[2] endmaternalmortality
[2] blavityoped
[1] icymi
[1] loving
[1] children
[1] babies
[1] vaccine



Top Hashtags in Tweet in G1:
[4] healthsystems
[2] togetherformothers
[2] endmaternalmortality
[2] blavityoped
[1] stemday
[1] steamday
[1] investinhealth
[1] icymi
[1] loving
[1] children

Top Hashtags in Tweet in G3:
[1] icpd25
[1] putyoungpeoplefirst

Top Hashtags in Tweet in G4:
[5] gdhf2020
[1] digitalhealth
[1] ict4d
[1] mhealth
[1] ehealth

Top Hashtags in Tweet in G5:
[1] milesformothers
[1] guardasil

Top Words
Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[8] public,private
[6] going,pivotal
[6] pivotal,session
[6] session,funding
[6] funding,surgical
[6] surgical,capacity
[6] capacity,building
[6] building,pleased
[6] pleased,join
[6] join,panelists

Top Word Pairs in Tweet in G1:
[8] public,private
[6] elements,public
[6] private,engagement
[4] strengthening,mixed
[4] mixed,#healthsystems
[4] #healthsystems,project
[4] project,merckformothers
[4] merckformothers,found
[4] found,elements
[3] maternal,health

Top Word Pairs in Tweet in G2:
[6] going,pivotal
[6] pivotal,session
[6] session,funding
[6] funding,surgical
[6] surgical,capacity
[6] capacity,building
[6] building,pleased
[6] pleased,join
[6] join,panelists
[6] panelists,amb

Top Word Pairs in Tweet in G4:
[5] #gdhf2020,sponsored
[5] sponsored,palladiumimpact
[5] palladiumimpact,psiimpact
[5] psiimpact,worldbank
[5] worldbank,daiglobal
[5] daiglobal,merckformothers
[5] merckformothers,jsihealth
[5] jsihealth,abtassociates
[4] the_gdhn,#gdhf2020
[4] abtassociates,httpâ

Top Word Pairs in Tweet in G5:
[2] merck,merckformothers

Top Replied-To
Top Replied-To in Entire Graph:
@advancethedream
@merck

Top Replied-To in G1:
@advancethedream

Top Replied-To in G5:
@merck

Top Mentioned
Top Mentioned in Entire Graph:
@merckformothers
@geoffibbotson
@palladiumimpact
@psiimpact
@worldbank
@daiglobal
@jsihealth
@abtassociates
@results4dev
@the_gdhn

Top Mentioned in G1:
@merckformothers
@results4dev
@gimacampaign
@thegff
@cicelysimone
@sgoyal77
@asknivi
@blavity

Top Mentioned in G2:
@geoffibbotson
@laurahoemeke
@pompysridhar
@merckformothers
@ifc_org
@ianblwalker
@jnjglobalhealth

Top Mentioned in G3:
@unfpa
@who
@benoitkalasa
@nigina_muntean
@dienekeita
@mabinguengom
@atayeshe
@unyouthenvoy
@womeningh
@merckformothers

Top Mentioned in G4:
@palladiumimpact
@psiimpact
@worldbank
@daiglobal
@merckformothers
@jsihealth
@abtassociates
@the_gdhn

Top Mentioned in G5:
@merckformothers
@jhpiego
@merck
@cdcgov

Top Tweeters
Top Tweeters in Entire Graph:
@caring_mobile
@sharanlouise
@blavity
@datadrivencare
@who
@worldbank
@mallampelliks
@calibregenisis
@jnjglobalhealth
@ifc_org

Top Tweeters in G1:
@sharanlouise
@blavity
@mallampelliks
@calibregenisis
@biodunawosusi
@results4dev
@tinabug23
@thegff
@iwes_nola
@allisonkelley3

Top Tweeters in G2:
@jnjglobalhealth
@ifc_org
@laurahoemeke
@theg4alliance
@johnmeara
@keepark
@ianblwalker
@sebhofbauer
@mrsmaswime
@geoffibbotson

Top Tweeters in G3:
@who
@unfpa
@atayeshe
@womeningh
@unyouthenvoy
@dienekeita
@bewaj
@benoitkalasa
@nigina_muntean
@ybleaders

Top Tweeters in G4:
@caring_mobile
@datadrivencare
@worldbank
@psiimpact
@daiglobal
@jsihealth
@abtassociates
@palladiumimpact
@insupplyhealth
@the_gdhn

Top Tweeters in G5:
@cdcgov
@jhpiego
@merck
@eleutheriaall
@angele1bell


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