NodeXL Graph Gallery: Interactive Graph


Donate to the Social Media Research Foundation's NodeXL development fund

#CwPAMS tweets (first 30) and retweets - extending the network (experimental version)
NOTE: This version of the graph is not available with the browser you are using. A more recent version of the browser is required.
Zoom in Zoom out Reset the graph
Go to the graph's main page

From:
scotpublichealth
Uploaded on:
December 13, 2019
Short Description:
205 tweet IDs via NodeXL http://bit.ly/2rHDcwU
@flemingfund
@thetlinks
@cw_pharmacists
@cmo_england
@sarahm_cavanagh
@drcduggan
@drdianeashiru
@thechange_x
@team_esneft
@ukmedicinesinfo

Top hashtags:
#cwpams
#amr
#ams
#healthworkers
#commonwealth
#nhs
#pharmacists

Description:
Description
The graph represents a network of 59 Twitter users whose recent tweets were included in a list of 205 tweet IDs, or who were replied to or mentioned in those tweets. The network was obtained from Twitter on Friday, 13 December 2019 at 12:35 UTC.

The tweets in the network were tweeted over the 2-day, 2-hour, 56-minute period from Thursday, 27 September 2018 at 12:00 UTC to Saturday, 29 September 2018 at 14:57 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 : 59
Unique Edges : 8
Edges With Duplicates : 744
Total Edges : 752
Self-Loops : 21
Reciprocated Vertex Pair Ratio : 0.0406976744186047
Reciprocated Edge Ratio : 0.0782122905027933
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 59
Maximum Edges in a Connected Component : 752
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.155128
Graph Density : 0.0523085914669784
Modularity : 0.134868
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 59 Twitter users whose recent tweets were included in a list of 205 tweet IDs, or who were replied to or mentioned in those tweets. The network was obtained from Twitter on Friday, 13 December 2019 at 12:35 UTC.

The tweets in the network were tweeted over the 2-day, 2-hour, 56-minute period from Thursday, 27 September 2018 at 12:00 UTC to Saturday, 29 September 2018 at 14:57 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 : 205 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:
[4] https://twitter.com/CW_Pharmacists/status/1045295758025601024
[2] https://twitter.com/FlemingFund/status/1045294078051651584
[2] https://twitter.com/LordNigelCrisp/status/1045696947309473793
[1] https://twitter.com/bull_eleanor/status/1045927865538236416
[1] https://twitter.com/michellekearns9/status/1044900232256000000
[1] https://twitter.com/CW_Pharmacists/status/1045333908710133760
[1] https://www.thet.org/nhs-volunteers-to-fight-against-amr-alongside-african-country-clinics/
[1] https://twitter.com/DHSCgovuk/status/1045313779754504193
[1] https://twitter.com/bensimms65/status/1045695880672813056
[1] https://twitter.com/SarahM_Cavanagh/status/1045583322196389888

Top URLs in Tweet in G1:
[1] https://www.flemingfund.org/publications/announcing-the-fleming-funds-new-commonwealth-partnerships-for-antimicrobial-stewardship-project/
[1] https://twitter.com/CW_Pharmacists/status/1045295758025601024
[1] https://twitter.com/FlemingFund/status/1045294078051651584
[1] https://twitter.com/UKgovGHS/status/1045317086455771136
[1] https://twitter.com/SarahM_Cavanagh/status/1045583322196389888

Top URLs in Tweet in G2:
[3] https://twitter.com/CW_Pharmacists/status/1045295758025601024
[2] https://twitter.com/LordNigelCrisp/status/1045696947309473793
[1] https://twitter.com/bull_eleanor/status/1045927865538236416
[1] https://twitter.com/bensimms65/status/1045695880672813056
[1] https://twitter.com/DHSCgovuk/status/1045313779754504193
[1] https://twitter.com/michellekearns9/status/1044900232256000000
[1] https://twitter.com/FlemingFund/status/1045698169525424128
[1] https://twitter.com/CW_Pharmacists/status/1045642684772347904
[1] https://twitter.com/CW_Pharmacists/status/1045333908710133760

Top URLs in Tweet in G3:
[1] https://www.thet.org/nhs-volunteers-to-fight-against-amr-alongside-african-country-clinics/
[1] https://twitter.com/FlemingFund/status/1045294078051651584

Top Domains
Top Domains in Tweet in Entire Graph:
[17] twitter.com
[1] thet.org
[1] flemingfund.org

Top Domains in Tweet in G1:
[4] twitter.com
[1] flemingfund.org

Top Domains in Tweet in G2:
[12] twitter.com

Top Domains in Tweet in G3:
[1] thet.org
[1] twitter.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[36] cwpams
[36] amr
[31] ams
[15] healthworkers
[14] commonwealth
[8] nhs
[6] pharmacists
[4] stopsuperbugs
[3] thetconf
[2] pharmacy



Top Hashtags in Tweet in G1:
[18] ams
[16] amr
[9] healthworkers
[7] cwpams
[7] commonwealth
[4] nhs
[3] stopsuperbugs
[3] pharmacists
[2] antibioticresistance

Top Hashtags in Tweet in G2:
[23] cwpams
[18] amr
[9] ams
[5] commonwealth
[4] nhs
[4] healthworkers
[3] pharmacists
[2] pharmacy
[1] stopsuperbugs
[1] keepantibioticsworking

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

Top Words
Top Words in Tweet in Entire Graph:
[170] Words in Sentiment List#1: Positive
[13] Words in Sentiment List#2: Negative
[0] Words in Sentiment List#3: Angry/Violent
[2391] Non-categorized Words
[2574] Total Words
[106] #cwpams
[65] #amr
[63] project
[62] flemingfund
[59] new

Top Words in Tweet in G1:
[38] #cwpams
[31] project
[28] partnerships
[27] #amr
[26] commonwealth
[24] new
[22] flemingfund
[21] cw_pharmacists
[20] exciting
[20] fight

Top Words in Tweet in G2:
[44] #cwpams
[29] #amr
[29] flemingfund
[27] cw_pharmacists
[24] thetlinks
[15] dhscgovuk
[15] #nhs
[14] new
[14] #stopsuperbugs
[12] today

Top Words in Tweet in G3:
[21] #cwpams
[18] new
[15] project
[14] thetlinks
[13] health
[13] antimicrobial
[13] stewardship
[11] flemingfund
[11] exciting
[11] partnerships

Top Words in Tweet in G4:
[6] project
[3] each
[3] year
[3] 700
[3] 000
[3] people
[3] due
[3] drug
[3] resistant
[3] infections

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[45] commonwealth,partnerships
[38] new,commonwealth
[35] antimicrobial,stewardship
[33] exciting,new
[31] fight,against
[31] against,#amr
[27] flemingfund,cw_pharmacists
[26] partnerships,#ams
[26] #ams,project
[26] partnerships,antimicrobial

Top Word Pairs in Tweet in G1:
[26] commonwealth,partnerships
[21] new,commonwealth
[20] fight,against
[20] against,#amr
[18] exciting,new
[17] project,support
[17] support,local
[16] antimicrobial,stewardship
[14] partnerships,antimicrobial
[14] partnerships,#ams

Top Word Pairs in Tweet in G2:
[11] thetlinks,cw_pharmacists
[10] exciting,new
[10] looking,forward
[10] commonwealth,partnerships
[9] #amr,flemingfund
[9] flemingfund,cw_pharmacists
[9] fight,against
[9] against,#amr
[9] new,commonwealth
[8] tackle,#amr

Top Word Pairs in Tweet in G3:
[13] antimicrobial,stewardship
[9] commonwealth,partnerships
[8] new,commonwealth
[7] partnerships,antimicrobial
[7] pleased,announce
[7] ghana,uganda
[6] 90,years
[6] years,discovery
[6] discovery,penicillin
[6] penicillin,extremely

Top Word Pairs in Tweet in G4:
[3] each,year
[3] year,700
[3] 700,000
[3] 000,people
[3] people,due
[3] due,drug
[3] drug,resistant
[3] resistant,infections
[3] infections,today
[3] today,pleased

Top Replied-To
Top Mentioned
Top Mentioned in Entire Graph:
@flemingfund
@cw_pharmacists
@thetlinks
@dhscgovuk
@drdianeashiru
@nhs_healthedeng
@esneft
@eastangliami
@nhsuk
@sarahm_cavanagh

Top Mentioned in G1:
@flemingfund
@cw_pharmacists
@thetlinks
@nhsuk
@sarahm_cavanagh
@drdianeashiru
@dhscgovuk

Top Mentioned in G2:
@flemingfund
@cw_pharmacists
@thetlinks
@dhscgovuk
@drdianeashiru
@nhs_healthedeng
@esneft
@eastangliami
@sarahm_cavanagh
@bull_eleanor

Top Mentioned in G3:
@thetlinks
@flemingfund
@cw_pharmacists
@bull_eleanor
@thechange_x
@cmo_england
@nhsuk

Top Mentioned in G4:
@cmo_england

Top Tweeters
Top Tweeters in Entire Graph:
@pharmerfour
@hemsworthalison
@drcduggan
@nhsuk
@elneilsuzy
@pharmasmiles
@nhs_healthedeng
@drdianeashiru
@ykarsan
@luciebd

Top Tweeters in G1:
@hemsworthalison
@nhsuk
@elneilsuzy
@ykarsan
@luciebd
@fredkitutu
@floramujaasi
@hifa_org
@cw_pharmacists
@keithridge1

Top Tweeters in G2:
@pharmerfour
@drcduggan
@pharmasmiles
@nhs_healthedeng
@drdianeashiru
@dhscgovuk
@team_esneft
@_beth_ward
@returnofthevic
@esneft

Top Tweeters in G3:
@lamagalucha
@thetlinks
@acunningid
@marknaunton
@moulldean
@bensimms65
@lambertsafari
@yuki_chelangat
@lizwwyld
@liverseidge

Top Tweeters in G4:
@xuerebd
@hannahbysouth
@lucywallis8
@cmo_england


We use necessary cookies to make our site work. We’d like to set additional cookies to understand site usage, make site improvements and to remember your settings. We also use cookies set by other sites to help deliver content from their services.