115 tweet IDs, Twitter, 1/6/2020 10:32:26 PM, 219852


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NodeXL Twitter Tweet ID List of 115 items Monday, 06 January 2020 at 22:24 UTC
NodeXL Twitter Tweet ID List of 115 items Monday, 06 January 2020 at 22:24 UTC
From:
scotpublichealth
Uploaded on:
January 06, 2020
Short Description:
115 tweet IDs via NodeXL http://bit.ly/2FsijZM
@who
@meshwendo
@craiubfcca
@who_europe
@ellina88_
@ankitabedi5
@mak_chap
@food_safety2018
@kinsellaanna
@centrient

Top hashtags:
#stopdrugresistance
#antibiotics
#usaaw18
#handhygiene
#antimicrobialresistance

Description:
Description
The graph represents a network of 114 Twitter users whose recent tweets were included in a list of 115 tweet IDs, or who were replied to or mentioned in those tweets. The network was obtained from Twitter on Monday, 06 January 2020 at 22:25 UTC.

The tweets in the network were tweeted over the 5-day, 0-hour, 36-minute period from Monday, 12 November 2018 at 03:27 UTC to Saturday, 17 November 2018 at 04:03 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 : 114
Unique Edges : 4
Edges With Duplicates : 246
Total Edges : 250
Self-Loops : 155
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 67
Single-Vertex Connected Components : 56
Maximum Vertices in a Connected Component : 22
Maximum Edges in a Connected Component : 58
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.082857
Graph Density : 0.00364850178543704
Modularity : 0.28264
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 114 Twitter users whose recent tweets were included in a list of 115 tweet IDs, or who were replied to or mentioned in those tweets. The network was obtained from Twitter on Monday, 06 January 2020 at 22:25 UTC.

The tweets in the network were tweeted over the 5-day, 0-hour, 36-minute period from Monday, 12 November 2018 at 03:27 UTC to Saturday, 17 November 2018 at 04:03 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 : 115 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:
[14] https://twitter.com/WHO/status/1061806584773439489
[6] http://www.who.int/who-campaigns/world-antibiotic-awareness-week
[4] https://twitter.com/WHO_Europe/status/1062677450453323776
[2] https://twitter.com/WHO/status/1062942440720609280
[2] https://eresciencia.com/resistencias-antibioticos/
[2] https://www.youtube.com/watch?v=yGrt4byMPdI

[2] https://twitter.com/WHO/status/1061925978807721985
[2] http://www.who.int/medicines/areas/rational_use/AMU_Surveillance/en/
[1] https://twitter.com/WHOAFRO/status/1062677812446928897
[1] https://www.beldico.nl/nl/nieuws/wereld-antibiotica-awareness-week-nl.html

Top URLs in Tweet in G1:
[12] https://twitter.com/WHO/status/1061806584773439489
[4] https://twitter.com/WHO_Europe/status/1062677450453323776
[2] https://twitter.com/WHO/status/1061925978807721985
[2] https://twitter.com/WHO/status/1062942440720609280
[2] https://www.youtube.com/watch?v=yGrt4byMPdI

[2] https://eresciencia.com/resistencias-antibioticos/
[1] https://twitter.com/WHO/status/1061925978807721985?utm_source=dlvr.it&utm_medium=twitter
[1] https://twitter.com/NHSEnglandNorth/status/1063432077088096257
[1] https://twitter.com/WHO/status/1062797467018760192
[1] https://stories.undp.org/tackling-tb-in-tuvalu

Top URLs in Tweet in G2:
[4] http://www.who.int/who-campaigns/world-antibiotic-awareness-week
[2] http://www.who.int/medicines/areas/rational_use/AMU_Surveillance/en/
[1] https://twitter.com/WHO/status/1061806584773439489
[1] https://www.who.int/medicines/areas/rational_use/AMU_Surveillance/en/

Top URLs in Tweet in G3:
[1] http://www.euro.who.int/en/health-topics/disease-prevention/antimicrobial-resistance/news/news/2018/11/of-all-human-diseases,-60-originate-in-animals-one-health-is-the-only-way-to-keep-antibiotics-working

Top URLs in Tweet in G5:
[1] https://goo.gl/VT7AXV

Top URLs in Tweet in G6:
[1] https://twitter.com/WHO/status/1061806584773439489

Top URLs in Tweet in G7:
[1] https://amrindustryalliance.org/in-action/
[1] https://www.amrindustryalliance.org/event/second-global-call-to-action-against-drug-resistant-infections/

Top URLs in Tweet in G8:
[1] http://diposit.ub.edu/dspace/handle/2445/112969

Top URLs in Tweet in G9:
[1] http://www.who.int/who-campaigns/world-antibiotic-awareness-week

Top URLs in Tweet in G10:
[1] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fwww.thelancet.com%2Fjournals%2Flaninf%2Farticle%2FPIIS1473-3099%2818%2930491-2%2Ffulltext%3Futm_campaign%3Dupdate-laninf%26utm_source%3Dhs_email%26utm_medium%3Demail%26utm_content%3D67451345%26_hsenc%3Dp2ANqtz-89L7gPF0V0WW6igS3JM9CXVVAW9YSjxcNyKM9R9Zg29HeqjYl8i9jAxMqrkQAv-c5MZpxo-v_5OtSUiyrM1xvmqaI8vw%26_hsmi%3D67451345&rc=0
[1] https://www.who.int/infection-prevention/tools/focus-amr/en/

Top Domains
Top Domains in Tweet in Entire Graph:
[30] twitter.com
[11] who.int
[3] youtube.com
[2] pewtrusts.org
[2] eresciencia.com
[2] amrindustryalliance.org
[1] beldico.nl
[1] ub.edu
[1] org.nz
[1] elsevierhealth.com

Top Domains in Tweet in G1:
[28] twitter.com
[3] youtube.com
[2] eresciencia.com
[2] pewtrusts.org
[1] undp.org
[1] edu.lb
[1] who.int
[1] cdc.gov
[1] org.nz
[1] beldico.nl

Top Domains in Tweet in G2:
[7] who.int
[1] twitter.com

Top Domains in Tweet in G3:
[1] who.int

Top Domains in Tweet in G5:
[1] goo.gl

Top Domains in Tweet in G6:
[1] twitter.com

Top Domains in Tweet in G7:
[2] amrindustryalliance.org

Top Domains in Tweet in G8:
[1] ub.edu

Top Domains in Tweet in G9:
[1] who.int

Top Domains in Tweet in G10:
[1] elsevierhealth.com
[1] who.int

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[102] stopdrugresistance
[15] antibiotics
[8] usaaw18
[4] handhygiene
[4] antimicrobialresistance
[3] 2018worldantibioticawarenessweek
[3] amr
[3] antibioticsawarenessweek
[3] beantibioticsaware
[3] dyk



Top Hashtags in Tweet in G1:
[67] stopdrugresistance
[8] antibiotics
[8] usaaw18
[3] beantibioticsaware
[3] 2018worldantibioticawarenessweek
[2] handhygiene
[2] dyk
[2] amr
[2] stopdrugabuse
[2] antibioticsawarenessweek

Top Hashtags in Tweet in G2:
[13] stopdrugresistance
[5] antibiotics
[1] handlewithcare
[1] handhygiene
[1] waaw21018
[1] antibiotic

Top Hashtags in Tweet in G3:
[5] stopdrugresistance
[1] dyk

Top Hashtags in Tweet in G4:
[1] morbiditysurveillance
[1] healthfacility
[1] hdss
[1] stopdrugresistance

Top Hashtags in Tweet in G5:
[2] animals
[1] human
[1] environment
[1] health
[1] stopdrugresistance
[1] foodsafety
[1] zoonotic

Top Hashtags in Tweet in G6:
[1] stopdrugresistance
[1] antibioticsawarenessweek

Top Hashtags in Tweet in G7:
[5] stopdrugresistance
[3] antimicrobialresistance
[1] antibiotics
[1] calltoaction18

Top Hashtags in Tweet in G8:
[2] stopdrugresistance
[1] antibiòtics
[1] craiub

Top Hashtags in Tweet in G9:
[1] antibiotics
[1] stopdrugresistance

Top Hashtags in Tweet in G10:
[2] stopdrugresistance
[1] acipc18
[1] handhygiene
[1] amr
[1] infectionprevention

Top Words
Top Words in Tweet in Entire Graph:
[68] Words in Sentiment List#1: Positive
[84] Words in Sentiment List#2: Negative
[2] Words in Sentiment List#3: Angry/Violent
[2202] Non-categorized Words
[2354] Total Words
[102] #stopdrugresistance
[47] antibiotics
[17] health
[15] #antibiotics
[15] resistance

Top Words in Tweet in G1:
[67] #stopdrugresistance
[40] antibiotics
[12] infections
[12] health
[10] resistance
[10] help
[8] #antibiotics
[8] #usaaw18
[7] overuse
[7] misuse

Top Words in Tweet in G2:
[13] #stopdrugresistance
[5] #antibiotics
[4] countries
[3] touching
[3] patient
[3] everyone
[3] play
[3] role
[3] including
[3] surgery

Top Words in Tweet in G3:
[5] #stopdrugresistance
[4] antibiotics
[3] prescription
[2] who_europe
[2] antibiotic
[2] without
[2] resistance
[2] overuse
[2] against
[2] over

Top Words in Tweet in G5:
[2] #animals

Top Words in Tweet in G7:
[5] #stopdrugresistance
[4] amralliance
[3] #antimicrobialresistance
[2] over
[2] part
[2] s
[2] find
[2] out

Top Words in Tweet in G8:
[3] setmana
[2] mundial
[2] sobre
[2] conscienciació
[2] d'un
[2] bon
[2] ús
[2] dels
[2] antibiòtics
[2] trobareu

Top Words in Tweet in G10:
[2] #stopdrugresistance

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[7] help,#stopdrugresistance
[6] antimicrobial,resistance
[5] overuse,misuse
[5] misuse,antibiotics
[5] antibiotics,leading
[5] leading,causes
[5] causes,antimicrobial
[5] antibiotic,resistance
[5] common,infections
[4] use,antibiotics

Top Word Pairs in Tweet in G1:
[5] antimicrobial,resistance
[5] help,#stopdrugresistance
[4] overuse,misuse
[4] misuse,antibiotics
[4] antibiotics,leading
[4] leading,causes
[4] causes,antimicrobial
[4] health,care
[4] care,professional
[4] antibiotics,#stopdrugresistance

Top Word Pairs in Tweet in G2:
[3] touching,patient
[3] everyone,play
[3] play,role
[3] role,#stopdrugresistance
[3] #stopdrugresistance,including
[3] including,surgery
[2] antibiotic,use
[2] new,report

Top Word Pairs in Tweet in G3:
[2] without,prescription
[2] against,over
[2] over,counter
[2] counter,antibiotics

Top Word Pairs in Tweet in G7:
[2] part,amralliance
[2] find,out

Top Word Pairs in Tweet in G8:
[2] setmana,mundial
[2] mundial,sobre
[2] sobre,conscienciació
[2] conscienciació,d'un
[2] d'un,bon
[2] bon,ús
[2] ús,dels
[2] dels,antibiòtics

Top Replied-To
Top Replied-To in Entire Graph:
@who
@pbidi
@undesa

Top Replied-To in G2:
@undesa

Top Replied-To in G3:
@who

Top Replied-To in G9:
@pbidi

Top Mentioned
Top Mentioned in Entire Graph:
@who
@amralliance
@who_europe
@onu_es
@whowpro
@whosearo
@whoafro
@pahowho
@whoemro
@moh_kenya

Top Mentioned in G1:
@nd4bb_enable

Top Mentioned in G2:
@who
@onu_es

Top Mentioned in G3:
@who_europe
@whowpro
@whosearo
@whoafro
@pahowho
@whoemro
@moh_kenya

Top Mentioned in G4:
@dkaj04
@valerietusubira
@tryphenan
@gyezcollins
@natukwatsadavis
@bashir_muchap

Top Mentioned in G5:
@efsa_eu
@cdcgov
@cdcglobal
@scifoodhealth
@alliedmeet

Top Mentioned in G6:
@lthpharmacy
@editornppg
@leeds_childrens
@drbobphillips

Top Mentioned in G7:
@amralliance
@wellcome_amr

Top Mentioned in G8:
@farmacia_ub
@who
@dd_ub

Top Mentioned in G9:
@whoindonesia

Top Mentioned in G10:
@acipc
@oecd_pubs

Top Tweeters
Top Tweeters in Entire Graph:
@nilimajumder
@translatorbali
@nagarik_news
@sardimperium
@majidhumayun
@zorgnl
@dra_teraizamesa
@gxp_services_de
@shibawhee
@undp

Top Tweeters in G1:
@majidhumayun
@zorgnl
@gxp_services_de
@shibawhee
@undp
@ayyu721
@promed_mail
@09macvida
@stellla_artois
@pinksterc_87

Top Tweeters in G2:
@nilimajumder
@dra_teraizamesa
@ungeneva
@who
@onu_es
@undesa
@reactgroup
@abanerjeewho
@ankitabedi5
@ellina88_

Top Tweeters in G3:
@pahowho
@who_europe
@abpi_uk
@whoemro
@whosearo
@whoafro
@moh_kenya
@whowpro
@meshwendo

Top Tweeters in G4:
@dkaj04
@tryphenan
@valerietusubira
@gyezcollins
@mak_chap
@bashir_muchap
@natukwatsadavis

Top Tweeters in G5:
@cdcgov
@cdcglobal
@efsa_eu
@alliedmeet
@scifoodhealth
@food_safety2018

Top Tweeters in G6:
@drbobphillips
@leeds_childrens
@editornppg
@lthpharmacy
@kinsellaanna

Top Tweeters in G7:
@medicinesforeu
@wellcome_amr
@amralliance
@centrient

Top Tweeters in G8:
@dd_ub
@craiubfcca
@farmacia_ub

Top Tweeters in G9:
@translatorbali
@pbidi
@whoindonesia

Top Tweeters in G10:
@oecd_pubs
@allegranzib
@acipc