30 tweet IDs, Twitter, 12/13/2019 10:38:32 AM, 218810


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First 30 CwPAMS tweets - imported via Twitter ID (without retweets)
First 30 CwPAMS tweets - imported via Twitter ID (without retweets)
From:
scotpublichealth
Uploaded on:
December 13, 2019
Short Description:
30 tweet IDs via NodeXL http://bit.ly/38JBAn8
@sarahm_cavanagh
@thetlinks
@cw_pharmacists
@drdianeashiru
@chlozt
@flemingfund
@dhscgovuk
@amyhychan
@nhs_healthedeng
@observeruk

Top hashtags:
#cwpams
#amr
#commonwealth
#ams
#nhs
#stopsuperbugs
#pharmacy

Description:
Description
The graph represents a network of 24 Twitter users whose recent tweets were included in a list of 30 tweet IDs, or who were replied to or mentioned in those tweets. The network was obtained from Twitter on Friday, 13 December 2019 at 10:36 UTC.

The tweets in the network were tweeted over the 11-day, 10-hour, 10-minute period from Thursday, 27 September 2018 at 12:00 UTC to Monday, 08 October 2018 at 22:11 UTC.

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 : 24
Unique Edges : 34
Edges With Duplicates : 49
Total Edges : 83
Self-Loops : 7
Reciprocated Vertex Pair Ratio : 0.166666666666667
Reciprocated Edge Ratio : 0.285714285714286
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 23
Maximum Edges in a Connected Component : 82
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 2.09434
Graph Density : 0.0760869565217391
Modularity : 0.242561
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 24 Twitter users whose recent tweets were included in a list of 30 tweet IDs, or who were replied to or mentioned in those tweets. The network was obtained from Twitter on Friday, 13 December 2019 at 10:36 UTC.

The tweets in the network were tweeted over the 11-day, 10-hour, 10-minute period from Thursday, 27 September 2018 at 12:00 UTC to Monday, 08 October 2018 at 22:11 UTC.

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 : TwitterIDList
Graph Term : 30 tweet IDs
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 : Followers
Vertex Alpha : Followers

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[3] https://www.thet.org/nhs-volunteers-to-fight-against-amr-alongside-african-country-clinics/
[2] https://twitter.com/LordNigelCrisp/status/1045696947309473793
[2] https://twitter.com/FlemingFund/status/1045294078051651584
[1] https://www.pharmaceutical-journal.com/news-and-analysis/news-in-brief/pharmacists-given-funding-to-tackle-global-anti-microbial-resistance/20205515.article?firstPass=false
[1] https://twitter.com/bensimms65/status/1046349117553889280
[1] https://twitter.com/DHSCgovuk/status/1045313779754504193
[1] https://twitter.com/bull_eleanor/status/1045927865538236416
[1] https://twitter.com/michellekearns9/status/1044900232256000000
[1] https://twitter.com/bensimms65/status/1045695880672813056
[1] https://twitter.com/SarahM_Cavanagh/status/1045583322196389888

Top URLs in Tweet in G1:
[1] https://twitter.com/bensimms65/status/1046349117553889280
[1] https://twitter.com/LordNigelCrisp/status/1045696947309473793
[1] https://twitter.com/bensimms65/status/1045695880672813056
[1] https://twitter.com/michellekearns9/status/1044900232256000000
[1] https://twitter.com/bull_eleanor/status/1045927865538236416
[1] https://twitter.com/DHSCgovuk/status/1045313779754504193

Top URLs in Tweet in G2:
[1] https://www.flemingfund.org/publications/announcing-the-fleming-funds-new-commonwealth-partnerships-for-antimicrobial-stewardship-project/
[1] https://twitter.com/SarahM_Cavanagh/status/1045583322196389888
[1] https://twitter.com/UKgovGHS/status/1045317086455771136
[1] https://twitter.com/FlemingFund/status/1045294078051651584
[1] https://twitter.com/mckeagneys/status/1048658404594597888
[1] https://twitter.com/chlozt/status/1046321972416860161
[1] https://twitter.com/DrDianeAshiru/status/1048896372769001474
[1] https://pharmacyinpractice.scot/2018/10/01/commonwealth-pharmacy-association-announce-partnership-to-fight-antibiotic-resistance/
[1] https://www.pharmaceutical-journal.com//news-and-analysis/news-in-brief/pharmacists-given-funding-to-tackle-global-anti-microbial-resistance/20205515.fullarticle?firstPass=false
[1] https://twitter.com/LordNigelCrisp/status/1045696947309473793

Top URLs in Tweet in G3:
[3] https://www.thet.org/nhs-volunteers-to-fight-against-amr-alongside-african-country-clinics/
[1] https://www.pharmaceutical-journal.com/news-and-analysis/news-in-brief/pharmacists-given-funding-to-tackle-global-anti-microbial-resistance/20205515.article?firstPass=false

Top URLs in Tweet in G4:
[1] https://twitter.com/FlemingFund/status/1045698169525424128
[1] https://twitter.com/CW_Pharmacists/status/1045642684772347904

Top URLs in Tweet in G5:
[1] https://twitter.com/FlemingFund/status/1045294078051651584

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[30] cwpams
[15] amr
[9] commonwealth
[8] ams
[4] nhs
[4] stopsuperbugs
[3] pharmacy
[3] antibioticresistance
[2] antibioticguardian
[2] pharmacists



Top Hashtags in Tweet in G1:
[6] cwpams
[4] amr
[3] nhs
[1] pharmacists
[1] stopsuperbugs
[1] keepantibioticsworking
[1] antibioticguardian
[1] pharmacy

Top Hashtags in Tweet in G2:
[14] cwpams
[10] amr
[6] commonwealth
[3] stopsuperbugs
[3] antibioticresistance
[2] ams
[2] pharmacyrocks
[2] pharmacy
[1] nhs
[1] pharmacists

Top Hashtags in Tweet in G3:
[6] ams
[6] cwpams
[3] commonwealth
[1] healthpartnerships
[1] volunteers
[1] healthworkers
[1] amr

Top Hashtags in Tweet in G4:
[3] cwpams
[1] ukcpapin

Top Hashtags in Tweet in G5:
[1] thetconf
[1] cwpams

Top Words
Top Words in Tweet in Entire Graph:
[48] Words in Sentiment List#1: Positive
[9] Words in Sentiment List#2: Negative
[0] Words in Sentiment List#3: Angry/Violent
[646] Non-categorized Words
[703] Total Words
[30] #cwpams
[17] flemingfund
[15] cw_pharmacists
[15] #amr
[14] thetlinks

Top Words in Tweet in G1:
[6] #cwpams
[5] flemingfund
[5] cw_pharmacists
[4] #amr
[4] thetlinks
[3] #nhs
[3] looking
[3] forward
[2] brilliant
[2] programme

Top Words in Tweet in G2:
[14] #cwpams
[10] #amr
[9] thetlinks
[7] flemingfund
[6] health
[6] tackle
[6] #commonwealth
[4] new
[4] partnerships
[4] antimicrobial

Top Words in Tweet in G3:
[10] project
[6] partnerships
[6] #ams
[6] #cwpams
[5] flemingfund
[5] cw_pharmacists
[4] announce
[4] great
[3] commonwealth
[3] new

Top Words in Tweet in G4:
[3] #cwpams
[2] pharmacists

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[7] flemingfund,cw_pharmacists
[6] partnerships,#ams
[6] #ams,project
[5] commonwealth,partnerships
[5] looking,forward
[5] tackle,#amr
[4] pleased,announce
[4] new,commonwealth
[4] thetlinks,cw_pharmacists
[4] exciting,new

Top Word Pairs in Tweet in G1:
[3] looking,forward
[2] #cwpams,#amr
[2] flemingfund,thetlinks
[2] thetlinks,cw_pharmacists
[2] flemingfund,cw_pharmacists

Top Word Pairs in Tweet in G2:
[5] tackle,#amr
[4] antimicrobial,stewardship
[3] partnerships,antimicrobial
[2] new,commonwealth
[2] commonwealth,partnerships
[2] stewardship,project
[2] uganda,zambia
[2] #cwpams,#stopsuperbugs
[2] exciting,new
[2] #amr,africa

Top Word Pairs in Tweet in G3:
[6] partnerships,#ams
[6] #ams,project
[5] flemingfund,cw_pharmacists
[3] commonwealth,partnerships
[3] each,year
[3] year,700
[3] 700,000
[3] 000,people
[3] people,due
[3] due,drug

Top Replied-To
Top Mentioned
Top Mentioned in Entire Graph:
@flemingfund
@cw_pharmacists
@thetlinks
@drdianeashiru
@cmo_england
@dhscgovuk
@sarahm_cavanagh
@returnofthevic
@nhsuk
@pjonline_news

Top Mentioned in G1:
@flemingfund
@cw_pharmacists
@thetlinks
@matthancock
@observeruk
@ossjohnson
@bull_eleanor
@thechange_x
@drdianeashiru

Top Mentioned in G2:
@thetlinks
@flemingfund
@cw_pharmacists
@drdianeashiru
@sarahm_cavanagh
@dhscgovuk
@returnofthevic
@raymond77606950
@ukgovghs
@chlozt

Top Mentioned in G3:
@flemingfund
@cw_pharmacists
@cmo_england
@nhsuk
@pjonline_news

Top Mentioned in G4:
@e_charani
@thetlinks
@cw_pharmacists

Top Tweeters
Top Tweeters in Entire Graph:
@pjonline_news
@nhsuk
@matthancock
@nhs_healthedeng
@drdianeashiru
@dhscgovuk
@thetlinks
@e_charani
@cw_pharmacists
@observeruk

Top Tweeters in G1:
@matthancock
@nhs_healthedeng
@observeruk
@esneft
@bull_eleanor
@thechange_x
@sarahm_cavanagh
@ossjohnson
@eastangliami

Top Tweeters in G2:
@dhscgovuk
@cw_pharmacists
@returnofthevic
@ukgovghs
@chlozt
@amyhychan
@flemingfund
@raymond77606950

Top Tweeters in G3:
@pjonline_news
@nhsuk
@thetlinks
@cmo_england

Top Tweeters in G4:
@drdianeashiru
@e_charani

Top Tweeters in G5:
@laurencswee